Duplicated/ Repeated Cases in SISTRAT C1 (part 3)

For the purpose of this page, we use the terms “rows” and “cases” interchangeably to refer to the entries of the dataset. In many of the processes made along the deduplication of entries in the C1 dataset, we used unstandardized columns or many other data that were in fact duplicated by HASHs, which did not depend on events related to treatment.In order to find and delete duplicated data that does not add relevant information for the purposes of the study, we now may use these standardized variables as a criteria to achieve the goal of having a unique event per HASH, by reducing its complexity based on irrelevant differences.

As stated in the second part of the deduplication process, we need to consolidate and define separate treatments as blocks, by keeping information about each event’s complexities (such as referrals, changes of treatment center, changes in plans and programs within each treatment) as variables of a single treatment. That is, to collapse intermediate events relative to a determined treatment into a single entry for each user. This will let us have a different treatment in every row. To get to this point, we had to standardize complex user-invariant variables and other types that were not directly related or relevant to the study aims. Additionally, we had to identify which relevant variables may experience changes between the different entries and much of the basis that let us define what would be a suitable criteria to collapse a greater amount of common entries.

1. Missing Dates of Discharge

In the previous deduplication stage, we only imputed the discharge dates of the cases that overlapped with other cases inside the database.

#table(is.na(CONS_C1_df_dup_FEB_2020$fech_nac)) #para comprobar si se hizo l imputación de las fechas de nacimiento
library(dplyr)
library(data.table)

CONS_C1_df_dup_FEB_2020 %>% dplyr::filter(is.na(fech_egres_imp)) %>% janitor::tabyl(ano_bd) %>% dplyr::mutate(percent=scales::percent(percent)) %>% 
    knitr::kable(format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
               caption="Table 1. Missing Dates of Discharge by Year of the Dataset",
                 align =rep('c', 3), 
               col.names = c("Year of Dataset", "Freq", "%")) %>%
   kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 10)

Table 1. Missing Dates of Discharge by Year of the Dataset

Year of Dataset	Freq	%
2,010	11	0.135%
2,011	63	0.776%
2,012	10	0.123%
2,013	23	0.283%
2,014	15	0.185%
2,015	23	0.283%
2,016	55	0.677%
2,017	59	0.727%
2,018	122	1.503%
2,019	7,738	95.307%

2. Last User-Invariant Variables.

The last user-invariant variables had many different values by user. That is why it was necessary to use different sources to overcome ambiguities. It is possible that the process of formulating an answer is one of the factors that explain the ambiguity in the answers. Many times the respondents are not precise remembering specific ages. It is reasonable to think that those with a sustained substance abuse profile would experience difficulties to recall specific information.

• Age of the Onset of Drug Use (edad_ini_cons) (n= 40,627), had too many distinct values by each user (n 15,253).

• Age of the Onset of Drug Use Primary Substance (edad_ini_sus_prin) (n= 41,794), had too many distinct values by each user (n= 15,800).

First, we discarded cases with ages of onset of drug use that were posterior to the age at admission (n= 96). We also did the same for the invalid ages of onset of primary drug use (n= 256).

CONS_C1_df_dup_FEB_2020 %>%
  dplyr::mutate(edad_ini_cons=case_when(edad_al_ing<=edad_ini_cons~NA_integer_,TRUE~as.integer(edad_ini_cons)))%>% #may 2010= filtro por aquellos casos que son invalidos, para descartarlos
  dplyr::mutate(edad_ini_sus_prin=case_when(edad_al_ing<=edad_ini_sus_prin~NA_integer_,TRUE~as.integer(edad_ini_sus_prin)))%>% #may 2010= filtro por aquellos casos que son invalidos, para descartarlos
  dplyr::mutate(edad_ini_sus_prin=case_when(edad_ini_sus_prin<edad_ini_cons~NA_integer_,TRUE~as.integer(edad_ini_sus_prin)))%>%

assign("CONS_C1_df_dup_MAY_2020_prev0",., envir = .GlobalEnv)

The following table shows the amount of ages that varies within each user.

prueba_edad_ini_cons <- CONS_C1_df_dup_MAY_2020_prev0 %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_cons_por_hash=n_distinct(edad_ini_cons)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_por_hash>1) %>% dplyr::distinct(hash_key)

prueba_edad_ini_sus_prin <- CONS_C1_df_dup_MAY_2020_prev0 %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_sus_prin_por_hash=n_distinct(edad_ini_sus_prin)) %>% ungroup() %>% dplyr::filter(edad_ini_sus_prin_por_hash>1) %>% dplyr::distinct(hash_key)

edad_ini_cons_summ<-
  CONS_C1_df_dup_MAY_2020_prev0 %>% 
   dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(prueba_edad_ini_cons)))))) %>%
    group_by(hash_key) %>%
  dplyr::add_tally() %>%  
   summarise(n=mean(n), edad_ini_cons_p25 = quantile(edad_ini_cons, c(0.25),na.rm=T),edad_ini_cons_p50 = quantile(edad_ini_cons, c(0.50),na.rm=T),edad_ini_cons_p75 = quantile(edad_ini_cons, c(0.75),na.rm=T),edad_ini_conssd=sd(edad_ini_cons,na.rm=T), min=min(edad_ini_cons, na.rm = T),max=max(edad_ini_cons, na.rm = T),mean=mean(edad_ini_cons,na.rm=T),ranges=abs(max-min)) %>%
    ungroup()%>%
  dplyr::mutate(diff_p25_p50=abs(edad_ini_cons_p50-edad_ini_cons_p25),diff_p75_p50=abs(edad_ini_cons_p50-edad_ini_cons_p75),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
    summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50),avg_p75_p50=mean(diff_p75_p50),avg_sd=mean(edad_ini_conssd,na.rm=T),avg_min_mean=mean(min_mean,na.rm=T),avg_max_mean=mean(max_mean,na.rm=T),avg_ranges=mean(ranges,na.rm=T),sd_ranges=sd(ranges,na.rm=T),p75_ranges=quantile(ranges, c(0.75),na.rm=T),p90_ranges=quantile(ranges, c(0.90),na.rm=T)) %>% 
  round(2)

`summarise()` ungrouping output (override with `.groups` argument)

edad_ini_sus_prin_summ<-
  CONS_C1_df_dup_MAY_2020_prev0 %>% 
   dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(prueba_edad_ini_sus_prin)))))) %>%
    group_by(hash_key) %>%
    dplyr::add_tally() %>%  
   summarise(n=mean(n),edad_ini_sus_prin_p25 = quantile(edad_ini_sus_prin, c(0.25),na.rm=T),edad_ini_sus_prin_p50 = quantile(edad_ini_sus_prin, c(0.50),na.rm=T),edad_ini_sus_prin_p75 = quantile(edad_ini_sus_prin, c(0.75),na.rm=T),edad_ini_sus_prinsd=sd(edad_ini_sus_prin,na.rm=T), min=min(edad_ini_sus_prin, na.rm = T),max=max(edad_ini_sus_prin, na.rm = T),mean=mean(edad_ini_sus_prin,na.rm=T),ranges=abs(max-min)) %>%
    ungroup()%>%
    dplyr::mutate(diff_p25_p50=abs(edad_ini_sus_prin_p50-edad_ini_sus_prin_p25),diff_p75_p50=abs(edad_ini_sus_prin_p50-edad_ini_sus_prin_p75),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
    summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50),avg_p75_p50=mean(diff_p75_p50),avg_sd=mean(edad_ini_sus_prinsd,na.rm=T),avg_min_mean=mean(min_mean,na.rm=T),avg_max_mean=mean(max_mean,na.rm=T),avg_ranges=mean(ranges,na.rm=T),sd_ranges=sd(ranges,na.rm=T),p75_ranges=quantile(ranges, c(0.75),na.rm=T),p90_ranges=quantile(ranges, c(0.90),na.rm=T)) %>% 
  round(2)

`summarise()` ungrouping output (override with `.groups` argument)

rbind(cbind(Variable="Age of the Onset of Drug Use",round(edad_ini_cons_summ,2)),cbind(Variable="Age of the Onset of Drug Use Primary Substance",round(edad_ini_sus_prin_summ,2))) %>%
    knitr::kable(format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
               caption="Table 2. Distribution of Differences in Years Within Users",
                 align =rep('c', 101),
               col.names = c("Variables","Avg. Cases per User", "Std.Dev. Cases per User","Avg. Diff. Perc 25-50", "Avg. Diff. Perc 75-50","Avg. Std.Dev","Avg. Diff. Min-Mean","Avg. Diff. Max-Mean","Avg. Range", "Std.Dev. Range","Perc 75 Range","Perc 90 Range"))  %>%
   kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size =10) %>%
  kableExtra::scroll_box(width = "100%", height = "250px")

Table 2. Distribution of Differences in Years Within Users

Variables	Avg. Cases per User	Std.Dev. Cases per User	Avg. Diff. Perc 25-50	Avg. Diff. Perc 75-50	Avg. Std.Dev	Avg. Diff. Min-Mean	Avg. Diff. Max-Mean	Avg. Range	Std.Dev. Range	Perc 75 Range	Perc 90 Range
Age of the Onset of Drug Use	2.66	1.06	0.86	0.96	2.63	1.82	1.93	3.75	4.96	4	9
Age of the Onset of Drug Use Primary Substance	2.64	1.05	1.43	1.45	3.69	2.95	2.95	5.91	6.24	8	14

Considering the abovementioned, we decided to restrict the rules to obtain unique values in user-invariant variables by each user to the 25% of users that had more considerable variability in each value of the registries present in the dataset.

knitr::include_graphics(paste0(path,"/SUD_CL/Figures/same_hash_distinct_values_user_invariant_top.svg"))

Figure 1. Decision Tree for the Users with more than one value in a User-Invariant Variable

In case of Age of the Onset of Drug Use (edad_ini_cons), users that had Age of the Onset of Drug Use (edad_ini_cons) greater than 4.

#knitr::include_graphics("G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/SUD_CL/Figures/age_onset_drug_use_same_hash_distinct_values_user_invariant.svg")
knitr::include_graphics(paste0(path,"/SUD_CL/Figures/age_onset_drug_use_same_hash_distinct_values_user_invariant.svg"))

Figure 2. Decision Tree for the Users with more than one value in a Age of the Onset of Substance Use of Primary Substance

CONS_C1_df_dup_MAY_2020_prev0_edad_ini_cons <- CONS_C1_df_dup_MAY_2020_prev0 %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_cons_por_hash=n_distinct(edad_ini_cons)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_por_hash>1) %>% dplyr::distinct(hash_key)
CONS_C1_df_dup_FEB_2020 %>% 
 dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev0_edad_ini_cons)))))) %>% # Select HASHs of cited cases
 dplyr::arrange(hash_key) %>% #ordeno por ids 
dplyr::select(row, hash_key, ano_bd, edad_ini_cons, edad, fech_nac,edad_al_ing, fech_ing, fech_egres_imp, tipo_de_plan, senda)%>%
    head(40)%>%
    knitr::kable(format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
               caption="Table 3. HASHs with more than one Age of the Onset of Drug Use (First 40 Cases)",
                 align =rep('c', 101))  %>%
   kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
  kableExtra::scroll_box(width = "100%", height = "375px")

Table 3. HASHs with more than one Age of the Onset of Drug Use (First 40 Cases)

row	hash_key	ano_bd	edad_ini_cons	edad	fech_nac	edad_al_ing	fech_ing	fech_egres_imp	tipo_de_plan	senda
157,456	00012586ea3036b7a18093c396847a87	2,019	15	42	1977-11-12	41.47023	2019-05-03	NA	PG-PAI	Si
53,084	00012586ea3036b7a18093c396847a87	2,014	13	42	1977-11-12	36.15606	2014-01-08	2014-11-03	PG-PR	No
120,237	0007678b8b35fa0961d1e8110fbf9620	2,017	15	31	1988-03-08	29.39904	2017-08-01	2017-09-19	M-PR	Si
117,796	0007678b8b35fa0961d1e8110fbf9620	2,017	15	31	1988-03-08	29.23203	2017-06-01	2017-07-05	M-PR	No
109,116	0007678b8b35fa0961d1e8110fbf9620	2,017	19	31	1988-03-08	28.49555	2016-09-05	2017-05-29	PG-PAI	Si
21,420	000abb62b93e12b04ad68c69e37597a6	2,012	14	37	1982-10-25	28.51745	2011-05-02	2012-03-19	PG-PAI	Si
2,859	000abb62b93e12b04ad68c69e37597a6	2,010	NA	37	1982-10-25	25.66735	2008-06-25	2010-06-23	PG-PAI	Si
57,760	000ec7b631988f81f3fc07f4de6cb9a9	2,014	15	39	1980-06-14	33.93566	2014-05-22	2014-07-24	PG-PAI	Si
52,499	000ec7b631988f81f3fc07f4de6cb9a9	2,014	16	39	1980-06-14	33.48939	2013-12-10	2014-02-28	PG-PAB	Si
36,044	000ec7b631988f81f3fc07f4de6cb9a9	2,013	15	39	1980-06-14	32.58590	2013-01-14	2013-11-28	PG-PAI	Si
90,698	000ff5e2fdd25462e4febeb6a9099bec	2,016	14	50	1969-05-16	46.46954	2015-11-04	2016-09-14	PG-PR	Si
19,994	000ff5e2fdd25462e4febeb6a9099bec	2,011	12	50	1969-05-16	42.51061	2011-11-19	2012-01-31	PG-PAI	Si
29,383	001022ffb28057b24dd76900bbf1e3de	2,012	14	37	1982-04-20	30.25873	2012-07-23	2012-11-02	M-PR	Si
16,163	001022ffb28057b24dd76900bbf1e3de	2,011	15	37	1982-04-20	29.10062	2011-05-27	2011-10-10	PG-PAI	Si
162,840	0012beab59a3a84eec95c9371f393a06	2,019	15	27	1991-11-26	27.76728	2019-09-02	NA	PG-PAB	Si
156,952	0012beab59a3a84eec95c9371f393a06	2,019	14	27	1991-11-26	27.48802	2019-05-23	2019-08-29	PG-PR	Si
123,290	001844aad3a5ef098c4c1d5e479ccbd6	2,017	14	37	1982-02-12	35.64134	2017-10-04	2017-12-01	PG-PAB	Si
86,678	001844aad3a5ef098c4c1d5e479ccbd6	2,016	15	37	1982-02-12	33.09240	2015-03-18	2016-12-20	M-PR	Si
66,251	001844aad3a5ef098c4c1d5e479ccbd6	2,015	15	37	1982-02-12	31.89049	2014-01-03	2015-03-16	M-PAI	Si
92,601	001b0ff241cd0d95828b86b4bdab8c19	2,016	20	52	1967-06-30	48.54209	2016-01-14	2016-05-12	PG-PR	Si
37,992	001b0ff241cd0d95828b86b4bdab8c19	2,013	18	52	1967-06-30	45.74127	2013-03-27	2013-06-28	PG-PAI	Si
31,481	001b0ff241cd0d95828b86b4bdab8c19	2,012	17	52	1967-06-30	45.34155	2012-11-01	2013-01-02	PG-PAB	Si
73,339	001ba6dfc8332930f9d9d20a0fa6685b	2,015	14	26	1993-06-28	21.60712	2015-02-05	2015-03-24	PG-PAI	No
44,192	001ba6dfc8332930f9d9d20a0fa6685b	2,013	13	26	1993-06-28	20.22177	2013-09-17	2013-09-30	PG-PR	Si
36,728	001ba6dfc8332930f9d9d20a0fa6685b	2,013	13	26	1993-06-28	19.61123	2013-02-06	2013-03-20	PG-PR	Si
139,264	001fb4d82755ca201c292fe318fef341	2,018	15	55	1963-12-14	54.51608	2018-06-20	2018-10-19	PG-PR	Si
32,645	001fb4d82755ca201c292fe318fef341	2,013	18	55	1963-12-14	48.09309	2012-01-17	2013-08-27	PG-PAI	Si
35,823	00227e8787d1ce564dae87621440d48b	2,013	14	45	1974-10-18	38.22861	2013-01-09	2013-11-01	M-PAI	Si
32,399	00227e8787d1ce564dae87621440d48b	2,013	15	45	1974-10-18	37.23203	2012-01-11	2013-01-04	PG-PAI	Si
4,824	00227e8787d1ce564dae87621440d48b	2,010	NA	45	1974-10-18	35.52635	2010-04-28	2010-08-10	PG-PAI	Si
72,657	00237788c4c803c12fecac82105ea4f0	2,015	13	37	1982-08-26	32.43806	2015-02-02	2015-09-23	PG-PAI	Si
46,208	00237788c4c803c12fecac82105ea4f0	2,013	14	37	1982-08-26	31.21424	2013-11-12	2014-02-26	PG-PAB	Si
139,158	002a54a1864024540089017666091fc0	2,018	27	39	1980-10-31	37.65366	2018-06-27	2018-11-23	PG-PR	Si
10,890	002a54a1864024540089017666091fc0	2,011	NA	39	1980-10-31	29.67830	2010-07-06	2011-03-31	PG-PAB	Si
122,564	002b4df919e2b1cc6ff0cdb26b27a514	2,017	14	36	1983-09-23	34.00684	2017-09-25	2017-12-15	PG-PAI	Si
76,859	002b4df919e2b1cc6ff0cdb26b27a514	2,015	15	36	1983-09-23	31.67693	2015-05-28	2015-11-27	PG-PAB	Si
34,105	002c979e254773f17812d9bff13996dc	2,013	16	35	1983-12-05	28.85147	2012-10-11	2013-01-04	PG-PAB	Si
4,271	002c979e254773f17812d9bff13996dc	2,010	NA	35	1983-12-05	26.28337	2010-03-18	2010-05-31	PG-PAI	Si
158,646	00335a6165270de0986718e354c20dcb	2,019	12	58	1961-08-05	57.86995	2019-06-19	2019-07-17	PG-PR	Si
156,853	00335a6165270de0986718e354c20dcb	2,019	15	58	1961-08-05	57.76865	2019-05-13	2019-06-14	PG-PAI	Si

#edad_ini_cons_summ[,"p75_ranges"]
#edad_ini_cons_summ[,"p90_diff_p75_p50"]

#invisible(
  #CONS_C1_df_dup_MAY_2020_prev%>%
#    edad_ini_cons_lo_75%>%
#  dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71")) %>%
#  dplyr::select(row, hash_key, obs)
  
#      edad_ini_cons_lo_75%>%
#  dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))
#      
##  data.frame(hash_key=edad_ini_cons_up_75)%>%
#  dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))
#)

###PARA HACER LA CONVERSION
#_______________________

edad_ini_cons_up_75<-
    as.character(
      CONS_C1_df_dup_MAY_2020_prev0 %>%
    dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev0_edad_ini_cons)))))) %>% 
    dplyr::group_by(hash_key) %>%
    dplyr::mutate(range=abs(max(edad_ini_cons,na.rm=T)-abs(min(edad_ini_cons,na.rm=T)))) %>%
    dplyr::filter(range>as.numeric(edad_ini_cons_summ[,"p75_ranges"]))%>%
    #dplyr::select(hash_key, range)
    distinct(hash_key)%>%
    unlist())

##BAJO EL PERCENTIL 75, SE REEMPLAZA CON LA MEDIA
edad_ini_cons_lo_75<-
    CONS_C1_df_dup_MAY_2020_prev0 %>%
    dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev0_edad_ini_cons)))))) %>% 
    dplyr::group_by(hash_key) %>%
    dplyr::mutate(mean_edad_ini_cons_lo75=round(mean(edad_ini_cons,na.rm=T),0),range=abs(max(edad_ini_cons,na.rm=T)-abs(min(edad_ini_cons,na.rm=T)))) %>%
    dplyr::ungroup()%>%
    dplyr::filter(range<=as.numeric(edad_ini_cons_summ[,"p75_ranges"]))%>%
    dplyr::select(hash_key,mean_edad_ini_cons_lo75)%>%
    dplyr::distinct(hash_key,.keep_all=T)


##VER el resumen de los casos
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(CONS_C1_df_dup_MAY_2020_prev0_edad_ini_cons[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#<- CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% dplyr::group_by(hash_key) %>% dplyr::add_tally(name="n_edad_ini_cons_sus") %>% dplyr::mutate(n_dis=n_distinct(ano_bd)) %>% dplyr::ungroup() %>% dplyr::filter(n_dis>1)%>% distinct(hash_key)%>% unlist()%>% as.character()

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_______________________
###PARA HACER LA CONVERSION en los mayores al 75 (edad_ini_cons_great_75)
#_______________________

#_#_#_#_#_#_
#1. distinta edad, bd tratamiento más reciente- Dejar la fecha del tratamiento más reciente
#proviene de más de una base de datos anual  
CONS_C1_df_dup_MAY_2020_prev0 %>%
dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% 
dplyr::group_by(hash_key) %>%
dplyr::add_tally(name="n_edad_ini_cons_sus") %>%  
dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
dplyr::ungroup() %>%
dplyr::filter(n_dis>1,!is.na(edad_ini_cons)) %>% 
dplyr::arrange(hash_key,desc(ano_bd)) %>% #may 2020, agregué descendiente la edad, de más reciente a más antiguo
dplyr::select(row, hash_key, ano_bd, edad_ini_cons, edad, fech_nac,edad_al_ing,n_edad_ini_cons_sus)%>%
dplyr::group_by(hash_key)%>%
dplyr::mutate(max_ano=max(ano_bd))%>%
#dplyr::slice(which.max(ano_bd)) %>% #MAY 2020, dejé como un procedimiento de APR 2020
dplyr::filter(max_ano==ano_bd) %>%
dplyr::ungroup()%>%
assign("hash_edad_ini_cons_most_recent_db",., envir = .GlobalEnv) %>% #APR 2020= 3,416 casos // #MAY 2020= 3,931 (3,416 usuarios)
 dplyr::group_by(hash_key)%>%
  distinct(edad_ini_cons,.keep_all=T)%>%
  dplyr::mutate(n_dis=n_distinct(edad_ini_cons)) %>%
  dplyr::filter(n_dis>1)%>% #45
  dplyr::mutate(edad_ini_cons_=paste0("edad_ini_cons_",row_number()))%>%
  tidyr::pivot_wider(id_cols =hash_key,names_from = edad_ini_cons_, values_from = edad_ini_cons,names_repair="minimal",values_fill = list(n = ""))%>%
  dplyr::rename("edad_ini_cons"="edad_ini_cons_1")%>%
  assign("hash_edad_ini_cons_most_recent_db_more_one_value_1b",., envir = .GlobalEnv) #1,268 casos de 625 HASHs

hash_edad_ini_cons_most_recent_db_1a <- hash_edad_ini_cons_most_recent_db%>%  #3,031
  dplyr::select(-n_edad_ini_cons_sus)%>%
    group_by(hash_key)%>%
    distinct(edad_ini_cons,.keep_all=T)%>%
    dplyr::mutate(n_dis=n_distinct(edad_ini_cons)) %>%
    dplyr::filter(n_dis==1) %>%
      ungroup()%>%
    dplyr::select(-n_dis,-row,-ano_bd,-max_ano)

#_#_#_#_#_#_
#_#_#_#_#_#_
#2a. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente
#misma edad base de datos por año, pero más de 2 casos ---> valor + frecuente
CONS_C1_df_dup_MAY_2020_prev0 %>%
dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% 
dplyr::group_by(hash_key) %>%
dplyr::add_tally() %>%  
dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
dplyr::ungroup() %>%
dplyr::filter(n_dis==1,n>2) %>% #más de 2 hash, pero todos dentro de la misma bd del mismo año
dplyr::select(-n) %>%
dplyr::filter(!is.na(edad_ini_cons))%>%
dplyr::mutate(concat_hash_edadinicons=paste0(hash_key,"_",edad_ini_cons)) %>%
dplyr::group_by(concat_hash_edadinicons) %>%
dplyr::add_tally() %>%  #agrego un nuevo n, para contar los distintos nacionalidades
dplyr::ungroup() %>%
dplyr::select(row, hash_key, ano_bd, edad_ini_cons, edad, fech_nac,edad_al_ing,n)%>%
dplyr::group_by(hash_key) %>%
#dplyr::slice(which.max(n)) %>% #me quedo con la concatenación por hash key que más se repite.
dplyr::top_n(n)%>%
dplyr::rename("cases_by_concat_hash_edad_ini_cons"="n")%>%
dplyr::ungroup() %>%
assign("hash_edad_ini_cons_most_freq_value",., envir = .GlobalEnv)%>% # APR 2020= 43 casos // MAY 2020, 99 casos, 43 usuarios.
dplyr::select(-cases_by_concat_hash_edad_ini_cons)%>%
group_by(hash_key)%>%
add_tally()%>%
dplyr::filter(n>1)%>% #99 casos
dplyr::mutate(edad_ini_cons_=paste0("edad_ini_cons_",row_number()))%>%
tidyr::pivot_wider(id_cols =hash_key,names_from = edad_ini_cons_, values_from = edad_ini_cons,names_repair="minimal",values_fill = list(n = ""))%>%
dplyr::rename("edad_ini_cons"="edad_ini_cons_1")%>%
assign("hash_sus_ini_most_freq_value_more_one_value_2a2",., envir = .GlobalEnv) #136

#seleccionar los casos en que en la misma base de datos hay sólo un caso que es mayor
hash_edad_ini_cons_most_freq_value_2a1 <- hash_edad_ini_cons_most_freq_value%>% 
  dplyr::select(-cases_by_concat_hash_edad_ini_cons)%>%
    group_by(hash_key)%>%
    add_tally()%>%
    dplyr::filter(n==1) %>%
    dplyr::select(-n, -row, -ano_bd)

#_#_#_#_#_#_
#_#_#_#_#_#_
#2b. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente. Casos con fecha de trat + reciente
CONS_C1_df_dup_MAY_2020_prev0 %>% 
  dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_1b["hash_key"])))%>%
  dplyr::group_by(hash_key,edad_ini_cons) %>%
  dplyr::add_tally(name="n_por_hash_edad_ini_cons") %>%  
  dplyr::ungroup()%>%
  dplyr::filter(!is.na(edad_ini_cons))%>%
  dplyr::group_by(hash_key) %>%
  dplyr::add_tally(name="n_por_hash") %>%  
  dplyr::arrange(desc(n_por_hash_edad_ini_cons))%>%
  #  dplyr::ungroup()%>%
  dplyr::top_n(1,n_por_hash_edad_ini_cons)%>%
  dplyr::arrange(desc(n_por_hash),hash_key)%>%
  dplyr::distinct(hash_key,edad_ini_cons,.keep_all=T)%>%
  dplyr::select(row, hash_key, ano_bd, edad_ini_cons,edad_al_ing, n_por_hash,n_por_hash_edad_ini_cons) %>%
  dplyr::group_by(hash_key)%>%
  dplyr::add_tally(name="n_por_hash_edad_ini_cons") %>%
  assign("hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b",., envir = .GlobalEnv)

hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b %>%
  dplyr::filter(n_por_hash_edad_ini_cons>1)%>% #45
  dplyr::mutate(edad_ini_cons_=paste0("edad_ini_cons_",row_number()))%>%
  tidyr::pivot_wider(id_cols =hash_key,names_from = edad_ini_cons_, values_from = edad_ini_cons,names_repair="minimal",values_fill = list(n = ""))%>%
  dplyr::rename("edad_ini_cons"="edad_ini_cons_1")%>%
  assign("hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2",., envir = .GlobalEnv) 

hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1<-
  hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b%>%
  dplyr::filter(n_por_hash_edad_ini_cons==1)%>%
  dplyr::select(hash_key,edad_ini_cons)

#_#_#_#_#_#_
#_#_#_#_#_#_
# 3. Sólo 2 casos . fechas de nacimiento, en la misma base de datos anual.
#misma edad base de datos por año, pero sólo 2 casos ---> se obtiene la media
#Actualizar a mayo

CONS_C1_df_dup_MAY_2020_prev0 %>%
dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% 
dplyr::group_by(hash_key) %>%
dplyr::add_tally() %>%  
dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
dplyr::ungroup() %>%
dplyr::filter(n_dis==1,n==2) %>% #casos en que hay que recurrir a otras variables
dplyr::arrange(hash_key) %>%
 dplyr::select(row, hash_key, ano_bd, edad_ini_cons, edad, fech_nac,edad_al_ing)%>%
  dplyr::group_by(hash_key) %>% 
    dplyr::mutate(rn=row_number()) %>% 
  as.data.frame() %>%
  reshape(idvar = "hash_key", timevar = "rn", direction = "wide") %>%
  dplyr::mutate(mean_edad_ini_cons=round(rowMeans(cbind(edad_ini_cons.1,edad_ini_cons.2), na.rm=T),0)) %>%
dplyr::select(hash_key,mean_edad_ini_cons) %>%
  assign("edad_ini_cons_misma_bd_2_casos_3",., envir = .GlobalEnv)

invisible(
CONS_C1_df_dup_MAY_2020_prev0 %>%
    dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(edad_ini_cons_misma_bd_2_casos_3[,"hash_key"])))))) %>% 
          dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))%>%
    dplyr::select(hash_key,ano_bd,edad_ini_cons,obs)
)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>%
#dplyr::filter(hash_key %in% as.character(unlist(hash_sus_ini_most_freq_value_more_one_value_2a2[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>%
#dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_1a[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_1b[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))) %>% group_by(hash_key)%>% print()

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
invisible(c("Manual Review"))

invisible(
CONS_C1_df_dup_MAY_2020_prev0 %>%
dplyr::filter(hash_key %in% c(as.character(unlist(edad_ini_cons_misma_bd_2_casos_3[,"hash_key"])),
                              as.character(unlist(hash_sus_ini_most_freq_value_more_one_value_2a2[,"hash_key"])),
                              as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))))%>% 
    dplyr::arrange(hash_key)%>%
    dplyr::filter(!is.na(edad_ini_cons))%>%
    dplyr::select(hash_key, ano_bd,edad_al_ing, edad_inicio_consumo,edad_ini_cons, edad_inicio_sustancia_principal, edad_ini_sus_prin)
#1480
)

casos_fecha_inicio_cons_sus_empates_3 <-
  CONS_C1_df_dup_MAY_2020_prev0 %>%
  dplyr::filter(hash_key %in% c(as.character(unlist(edad_ini_cons_misma_bd_2_casos_3[,"hash_key"])),
                              as.character(unlist(hash_sus_ini_most_freq_value_more_one_value_2a2[,"hash_key"])),
                              as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))))%>% 
  dplyr::filter(!is.na(edad_ini_cons))%>%
  group_by(hash_key) %>%
  summarise(mean_edad_ini_cons=round(mean(edad_ini_cons,na.rm=T),0))

#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(casos_con_fechas_invalidas_por_fecha_inicio_cons_sus_prin_2_casos_3a[,"hash_key"])))%>% group_by(hash_key)

#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(casos_con_fechas_invalidas_por_fecha_inicio_cons_sus_prin_2_casos_3a[,"hash_key"])))%>% group_by(hash_key)

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#

#hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1  
#  casos_con_fechas_invalidas_por_fecha_inicio_cons_sus_prin_2_casos_3a
  
CONS_C1_df_dup_MAY_2020_prev0 %>%
  #janitor::tabyl(sexo_2) %>%
#0b
  dplyr::mutate(obs=case_when(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(edad_ini_cons_lo_75[,"hash_key"])))))~glue::glue("{obs};3.01.0b.HASH w/ more than one distinct Age of Onset of Drug Use.Minor differences within users,replaced with mean"),TRUE~obs))%>%
  dplyr::left_join(edad_ini_cons_lo_75,by="hash_key", suffix=c("","_edad_lo_75"))%>%
  dplyr::mutate(edad_ini_cons= ifelse(!is.na(mean_edad_ini_cons_lo75), mean_edad_ini_cons_lo75, edad_ini_cons)) %>%
  dplyr::select(-mean_edad_ini_cons_lo75) %>%
#1a
  dplyr::mutate(obs=case_when(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_cons_most_recent_db_1a)))))~glue::glue("{obs};3.01.1a.HASH w/ more than one distinct Age of Onset of Drug Use. Recent db"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_cons_most_recent_db_1a, by="hash_key",suffix=c("","_edadinicons_recent_db")) %>%
  dplyr::mutate(edad_ini_cons= ifelse(!is.na(edad_ini_cons_edadinicons_recent_db), edad_ini_cons_edadinicons_recent_db, edad_ini_cons)) %>%
  dplyr::select(-ends_with("_edadinicons_recent_db")) %>%
#2a1
  dplyr::mutate(obs=case_when(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_cons_most_freq_value_2a1)))))~glue::glue("{obs};3.01.2a1.HASH w/ more than one distinct Age of Onset of Drug Use. Most frequent value"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_cons_most_freq_value_2a1, by="hash_key",suffix=c("","_edadinicons_mfv")) %>%
  dplyr::mutate(edad_ini_cons= ifelse(!is.na(edad_ini_cons_edadinicons_mfv), edad_ini_cons_edadinicons_mfv, edad_ini_cons)) %>%
  dplyr::select(-ends_with("_edadinicons_mfv")) %>%  
#2b1
  dplyr::mutate(obs=case_when(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1)))))~glue::glue("{obs};3.01.2b1.HASH w/ more than one distinct Age of Onset of Drug Use.>1 recent DB, mfv"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1, by="hash_key",suffix=c("","_edadinicons_recent_db_mfv")) %>%
  dplyr::mutate(edad_ini_cons= ifelse(!is.na(edad_ini_cons_edadinicons_recent_db_mfv), edad_ini_cons_edadinicons_recent_db_mfv, edad_ini_cons)) %>%
  dplyr::select(-ends_with("_edadinicons_recent_db_mfv")) %>%  
 # dplyr::filter(!is.na(mean_edad_ini_cons))%>% dplyr::select(hash_key,edad_ini_cons,mean_edad_ini_cons)%>%#solo una prueba
#3
  dplyr::mutate(obs=case_when(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(casos_fecha_inicio_cons_sus_empates_3)))))~glue::glue("{obs};3.01.3b.HASH w/ more than one distinct Age of Onset of Drug Use.2 cases, same yearly dataset or ties"),TRUE~obs))%>%
  dplyr::left_join(casos_fecha_inicio_cons_sus_empates_3, by="hash_key",suffix=c("","_edadinicons_misma_bd_2_casos_3b")) %>%
  dplyr::mutate(edad_ini_cons= ifelse(!is.na(mean_edad_ini_cons), mean_edad_ini_cons, edad_ini_cons)) %>%
  dplyr::select(-ends_with("_edadinicons_misma_bd_2_casos"),-mean_edad_ini_cons) %>% 
  assign("CONS_C1_df_dup_MAY_2020_prev",., envir = .GlobalEnv)

#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(casos_con_fechas_invalidas_por_fecha_inicio_cons_sus_prin_2_casos_3a[,"hash_key"])))%>% group_by(hash_key)

##dim(CONS_C1_df_dup_MAY_2020_prev);names(CONS_C1_df_dup_MAY_2020_prev)
#CONS_C1_df_dup_MAY_2020_prev %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_cons_por_hash=n_distinct(edad_ini_cons)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_por_hash>1) %>%  dplyr::select(hash_key,obs)%>% View()

#CONS_C1_df_dup_MAY_2020_prev %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_cons_por_hash=n_distinct(edad_ini_cons)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_por_hash>1) %>% nrow() %>%  formatC(, format="f", big.mark=",", digits=0)

#CONS_C1_df_dup_MAY_2020_prev %>% dplyr::filter(grepl('3.01.3b.', obs)) %>% dplyr::group_by(hash_key) 

invisible(
CONS_C1_df_dup_MAY_2020_prev%>%
dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))%>%
  dplyr::select(row, hash_key, edad_ini_cons, obs)
)
invisible(
CONS_C1_df_dup_MAY_2020_prev0 %>%
    dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(edad_ini_cons_misma_bd_2_casos_3[,"hash_key"])))))) %>% 
          dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))%>%
    dplyr::select(hash_key,ano_bd,edad_ini_cons,obs)
)
#dim(CONS_C1_df_dup_MAY_2020_prev) #117,387, 140
#dim(CONS_C1_df_dup_FEB_2020) #117,387, 140

#CONS_C1_df_dup_MAY_2020_prev %>% dplyr::group_by(obs) %>% summarise(n=n()) %>% dplyr::filter(n,grepl('3.01.', obs)) %>% View()
#CONS_C1_df_dup_MAY_2020_prev %>% dplyr::group_by(obs) %>% summarise(n=n()) %>% dplyr::filter(n,grepl('3.02.', obs)) %>% View()

CONS_C1_df_dup_MAY_2020_prev_edad_ini_sus_prin <-
  CONS_C1_df_dup_MAY_2020_prev %>% 
  dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
  dplyr::group_by(concat_hash_sus_prin) %>% 
  dplyr::mutate(sus_prin_y_edad_ini_sus_prin_por_hash=n_distinct(edad_ini_sus_prin)) %>% 
  ungroup() %>% 
  dplyr::filter(sus_prin_y_edad_ini_sus_prin_por_hash>1) %>% 
  dplyr::select(row,hash_key,concat_hash_sus_prin,sus_prin_y_edad_ini_sus_prin_por_hash,sus_principal,edad_ini_sus_prin) %>% 
  dplyr::distinct(concat_hash_sus_prin,.keep_all=T)

cases_affected_by_hash_sus_prin_age<- CONS_C1_df_dup_MAY_2020_prev %>% 
                      dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
                      dplyr::group_by(concat_hash_sus_prin) %>% 
                      dplyr::mutate(sus_prin_y_edad_ini_sus_prin_por_hash=n_distinct(edad_ini_sus_prin)) %>% 
                      ungroup() %>% 
                      dplyr::filter(sus_prin_y_edad_ini_sus_prin_por_hash>1) %>% nrow()

summ_edad_ini_cons_sus_prin_por_concat_hash_sus_prin<-
    CONS_C1_df_dup_MAY_2020_prev %>% 
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev_edad_ini_sus_prin[,"concat_hash_sus_prin"])))))) %>%
    dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::add_tally() %>%  
    summarise(n=mean(n),edad_ini_sus_prin_p25 = quantile(edad_ini_sus_prin, c(0.25),na.rm=T),edad_ini_sus_prin_p50 = quantile(edad_ini_sus_prin, c(0.50),na.rm=T),edad_ini_sus_prin_p75 = quantile(edad_ini_sus_prin, c(0.75),na.rm=T),edad_ini_sus_prinsd=sd(edad_ini_sus_prin,na.rm=T), min=min(edad_ini_sus_prin, na.rm= T),max=max(edad_ini_sus_prin, na.rm= T),mean=mean(edad_ini_sus_prin,na.rm=T),ranges=range(edad_ini_sus_prin,na.rm=T, finite=T)[2]-range(edad_ini_sus_prin,na.rm=T, finite=T)[1]) %>%
    ungroup()%>%
    dplyr::mutate(diff_p25_p50=abs(edad_ini_sus_prin_p50-edad_ini_sus_prin_p25),diff_p75_p50=abs(edad_ini_sus_prin_p50-edad_ini_sus_prin_p75),min_mean=abs(min-mean), max_mean=abs(max-mean))%>%
    summarise(avg_n=mean(n), sd_n=sd(n),avg_p25_p50=mean(diff_p25_p50, na.rm=T),avg_p75_p50=mean(diff_p75_p50, na.rm=T),avg_sd=mean(edad_ini_sus_prinsd,na.rm=T),avg_min_mean=mean(min_mean,na.rm=T),avg_max_mean=mean(max_mean,na.rm=T),avg_ranges=mean(ranges,na.rm=T),sd_ranges=sd(ranges,na.rm=T),p75_ranges=quantile(ranges, c(0.75),na.rm=T),p90_ranges=quantile(ranges, c(0.90),na.rm=T)) %>% 
    round(2)

`summarise()` ungrouping output (override with `.groups` argument)

In the case of Age of Onset of Drug Use Primary Substance (edad_ini_sus_prin), we needed to check for differences within each user, but for every admission in which he/she reported a common primary substance of admission. In total, 33,500 entries had different ages of onset of drug use in different treatments where they reported the same primary substance. For cases with ranges less than 6 years, we replaced the age of onset of drug use with the average age for each user that reported the same primary substance.

#knitr::include_graphics("G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/SUD_CL/Figures/age_onset_drug_use_prim_substance_same_hash_distinct_values_user_invariant.svg")
knitr::include_graphics(paste0(path,"/SUD_CL/Figures/age_onset_drug_use_prim_substance_same_hash_distinct_values_user_invariant.svg"))

Figure 3. Decision Tree for the Users with more than one value in a Age of Onset of Substance Use of Primary Substance

#336+2834 combinaciones #3 más 2a

CONS_C1_df_dup_MAY_2020_prev %>% 
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev_edad_ini_sus_prin[,"concat_hash_sus_prin"])))))) %>% # Select HASHs of cited cases
    dplyr::arrange(concat_hash_sus_prin) %>% #ordeno por ids 
    dplyr::select(row, concat_hash_sus_prin,hash_key, ano_bd, edad_ini_sus_prin, sus_principal,edad_al_ing, fech_ing, fech_egres_imp, tipo_de_plan, senda)%>%
      head(40)%>%
    knitr::kable(format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
               caption="Table 4. Entries of Users with the same Primary Substance, with more than one Age of Onset of Drug Use of Primary Substance (First 40 Cases)",
                 align =rep('c', 101))  %>%
   kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
  kableExtra::scroll_box(width = "100%", height = "375px")

Table 4. Entries of Users with the same Primary Substance, with more than one Age of Onset of Drug Use of Primary Substance (First 40 Cases)

row	concat_hash_sus_prin	hash_key	ano_bd	edad_ini_sus_prin	sus_principal	edad_al_ing	fech_ing	fech_egres_imp	tipo_de_plan	senda
157,456	00012586ea3036b7a18093c396847a87_Pasta Base	00012586ea3036b7a18093c396847a87	2,019	27	Pasta Base	41.47023	2019-05-03	NA	PG-PAI	Si
53,084	00012586ea3036b7a18093c396847a87_Pasta Base	00012586ea3036b7a18093c396847a87	2,014	28	Pasta Base	36.15606	2014-01-08	2014-11-03	PG-PR	No
57,760	000ec7b631988f81f3fc07f4de6cb9a9_Pasta Base	000ec7b631988f81f3fc07f4de6cb9a9	2,014	29	Pasta Base	33.93566	2014-05-22	2014-07-24	PG-PAI	Si
52,499	000ec7b631988f81f3fc07f4de6cb9a9_Pasta Base	000ec7b631988f81f3fc07f4de6cb9a9	2,014	25	Pasta Base	33.48939	2013-12-10	2014-02-28	PG-PAB	Si
36,044	000ec7b631988f81f3fc07f4de6cb9a9_Pasta Base	000ec7b631988f81f3fc07f4de6cb9a9	2,013	20	Pasta Base	32.58590	2013-01-14	2013-11-28	PG-PAI	Si
29,383	001022ffb28057b24dd76900bbf1e3de_Pasta Base	001022ffb28057b24dd76900bbf1e3de	2,012	26	Pasta Base	30.25873	2012-07-23	2012-11-02	M-PR	Si
16,163	001022ffb28057b24dd76900bbf1e3de_Pasta Base	001022ffb28057b24dd76900bbf1e3de	2,011	25	Pasta Base	29.10062	2011-05-27	2011-10-10	PG-PAI	Si
162,840	0012beab59a3a84eec95c9371f393a06_Pasta Base	0012beab59a3a84eec95c9371f393a06	2,019	18	Pasta Base	27.76728	2019-09-02	NA	PG-PAB	Si
156,952	0012beab59a3a84eec95c9371f393a06_Pasta Base	0012beab59a3a84eec95c9371f393a06	2,019	21	Pasta Base	27.48802	2019-05-23	2019-08-29	PG-PR	Si
92,601	001b0ff241cd0d95828b86b4bdab8c19_Alcohol	001b0ff241cd0d95828b86b4bdab8c19	2,016	20	Alcohol	48.54209	2016-01-14	2016-05-12	PG-PR	Si
37,992	001b0ff241cd0d95828b86b4bdab8c19_Alcohol	001b0ff241cd0d95828b86b4bdab8c19	2,013	18	Alcohol	45.74127	2013-03-27	2013-06-28	PG-PAI	Si
73,339	001ba6dfc8332930f9d9d20a0fa6685b_Pasta Base	001ba6dfc8332930f9d9d20a0fa6685b	2,015	19	Pasta Base	21.60712	2015-02-05	2015-03-24	PG-PAI	No
44,192	001ba6dfc8332930f9d9d20a0fa6685b_Pasta Base	001ba6dfc8332930f9d9d20a0fa6685b	2,013	15	Pasta Base	20.22177	2013-09-17	2013-09-30	PG-PR	Si
36,728	001ba6dfc8332930f9d9d20a0fa6685b_Pasta Base	001ba6dfc8332930f9d9d20a0fa6685b	2,013	15	Pasta Base	19.61123	2013-02-06	2013-03-20	PG-PR	Si
139,264	001fb4d82755ca201c292fe318fef341_Alcohol	001fb4d82755ca201c292fe318fef341	2,018	15	Alcohol	54.51608	2018-06-20	2018-10-19	PG-PR	Si
32,645	001fb4d82755ca201c292fe318fef341_Alcohol	001fb4d82755ca201c292fe318fef341	2,013	18	Alcohol	48.09309	2012-01-17	2013-08-27	PG-PAI	Si
35,823	00227e8787d1ce564dae87621440d48b_Pasta Base	00227e8787d1ce564dae87621440d48b	2,013	15	Pasta Base	38.22861	2013-01-09	2013-11-01	M-PAI	Si
32,399	00227e8787d1ce564dae87621440d48b_Pasta Base	00227e8787d1ce564dae87621440d48b	2,013	30	Pasta Base	37.23203	2012-01-11	2013-01-04	PG-PAI	Si
4,824	00227e8787d1ce564dae87621440d48b_Pasta Base	00227e8787d1ce564dae87621440d48b	2,010	30	Pasta Base	35.52635	2010-04-28	2010-08-10	PG-PAI	Si
72,657	00237788c4c803c12fecac82105ea4f0_Pasta Base	00237788c4c803c12fecac82105ea4f0	2,015	28	Pasta Base	32.43806	2015-02-02	2015-09-23	PG-PAI	Si
46,208	00237788c4c803c12fecac82105ea4f0_Pasta Base	00237788c4c803c12fecac82105ea4f0	2,013	29	Pasta Base	31.21424	2013-11-12	2014-02-26	PG-PAB	Si
139,158	002a54a1864024540089017666091fc0_Pasta Base	002a54a1864024540089017666091fc0	2,018	32	Pasta Base	37.65366	2018-06-27	2018-11-23	PG-PR	Si
10,890	002a54a1864024540089017666091fc0_Pasta Base	002a54a1864024540089017666091fc0	2,011	19	Pasta Base	29.67830	2010-07-06	2011-03-31	PG-PAB	Si
122,564	002b4df919e2b1cc6ff0cdb26b27a514_Alcohol	002b4df919e2b1cc6ff0cdb26b27a514	2,017	14	Alcohol	34.00684	2017-09-25	2017-12-15	PG-PAI	Si
76,859	002b4df919e2b1cc6ff0cdb26b27a514_Alcohol	002b4df919e2b1cc6ff0cdb26b27a514	2,015	15	Alcohol	31.67693	2015-05-28	2015-11-27	PG-PAB	Si
34,105	002c979e254773f17812d9bff13996dc_Pasta Base	002c979e254773f17812d9bff13996dc	2,013	22	Pasta Base	28.85147	2012-10-11	2013-01-04	PG-PAB	Si
4,271	002c979e254773f17812d9bff13996dc_Pasta Base	002c979e254773f17812d9bff13996dc	2,010	19	Pasta Base	26.28337	2010-03-18	2010-05-31	PG-PAI	Si
158,646	00335a6165270de0986718e354c20dcb_Alcohol	00335a6165270de0986718e354c20dcb	2,019	NA	Alcohol	57.86995	2019-06-19	2019-07-17	PG-PR	Si
156,853	00335a6165270de0986718e354c20dcb_Alcohol	00335a6165270de0986718e354c20dcb	2,019	15	Alcohol	57.76865	2019-05-13	2019-06-14	PG-PAI	Si
135,632	00335a6165270de0986718e354c20dcb_Alcohol	00335a6165270de0986718e354c20dcb	2,018	8	Alcohol	56.61875	2018-03-19	2018-11-08	PG-PAI	Si
43,087	00335a6165270de0986718e354c20dcb_Alcohol	00335a6165270de0986718e354c20dcb	2,013	15	Alcohol	52.02190	2013-08-13	2014-05-20	PG-PAI	Si
158,654	003c0a2d84d8b86df55485958c108ec3_Pasta Base	003c0a2d84d8b86df55485958c108ec3	2,019	32	Pasta Base	37.37988	2019-06-03	NA	PG-PAI	Si
153,026	003c0a2d84d8b86df55485958c108ec3_Pasta Base	003c0a2d84d8b86df55485958c108ec3	2,019	NA	Pasta Base	36.99658	2019-01-14	2019-03-29	PG-PAI	Si
38,349	0043106cf035f0191d66ee23e6c7acee_Pasta Base	0043106cf035f0191d66ee23e6c7acee	2,013	32	Pasta Base	46.91034	2013-03-21	2013-09-04	PG-PAI	Si
30,343	0043106cf035f0191d66ee23e6c7acee_Pasta Base	0043106cf035f0191d66ee23e6c7acee	2,012	42	Pasta Base	46.46407	2012-10-09	2013-01-15	PG-PAI	Si
119,011	004829ae26e6bf4fc4766f1f9863554a_Pasta Base	004829ae26e6bf4fc4766f1f9863554a	2,017	31	Pasta Base	38.83915	2017-05-10	2018-02-01	PG-PAI	Si
111,065	004829ae26e6bf4fc4766f1f9863554a_Pasta Base	004829ae26e6bf4fc4766f1f9863554a	2,017	33	Pasta Base	38.41205	2016-12-05	2017-01-13	PG-PR	Si
97,851	004d135beff90a24f4be7f85f443a405_Alcohol	004d135beff90a24f4be7f85f443a405	2,016	15	Alcohol	58.25873	2015-12-29	2016-08-11	PG-PAI	Si
70,113	004d135beff90a24f4be7f85f443a405_Alcohol	004d135beff90a24f4be7f85f443a405	2,015	14	Alcohol	57.08693	2014-10-27	2015-04-24	PG-PAI	Si
60,430	004d135beff90a24f4be7f85f443a405_Alcohol	004d135beff90a24f4be7f85f443a405	2,014	14	Alcohol	56.76386	2014-07-01	2014-10-27	PG-PR	Si

#edad_ini_sus_prin_summ[,"p90_diff_p25_p50"]
#edad_ini_sus_prin_summ[,"p90_diff_p75_p50"]
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_______________________

edad_ini_cons_sus_prin_up_75<-
    as.character(CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev_edad_ini_sus_prin[,"concat_hash_sus_prin"])))))) %>%
    dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::mutate(range=abs(max(edad_ini_sus_prin,na.rm=T)-abs(min(edad_ini_sus_prin,na.rm=T)))) %>%
    dplyr::filter(range>as.numeric(summ_edad_ini_cons_sus_prin_por_concat_hash_sus_prin[,"p75_ranges"]))%>%
    #dplyr::select(hash_key, range)
    distinct(concat_hash_sus_prin)%>%
    unlist())

edad_ini_cons_sus_prin_lo_75<-
    CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(CONS_C1_df_dup_MAY_2020_prev_edad_ini_sus_prin[,"concat_hash_sus_prin"])))))) %>%
    dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::mutate(mean_edad_ini_sus_prin_lo75=round(mean(edad_ini_sus_prin,na.rm=T),0),range=abs(max(edad_ini_sus_prin,na.rm=T)-abs(min(edad_ini_sus_prin,na.rm=T)))) %>%
    dplyr::ungroup()%>%
    dplyr::filter(range<=as.numeric(summ_edad_ini_cons_sus_prin_por_concat_hash_sus_prin[,"p75_ranges"]))%>%
    dplyr::select(concat_hash_sus_prin,mean_edad_ini_sus_prin_lo75)%>%
    dplyr::distinct(concat_hash_sus_prin,.keep_all=T)                                                                                                                                              

invisible(
CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% as.character(unlist(edad_ini_cons_sus_prin_up_75)))
)
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_______________________
###PARA HACER LA CONVERSION en los mayores al 75 (edad_ini_cons_sus_prin_up_75)
#_______________________

#Ver cada registro con un determinado hash y sustancia principal, pero con 2 casos de la misma base de datos anual con distina edad de inicio de consumo de esa sus principal, para sacar el promedio de eso

#_#_#_#_#_#_
#1. distinta edad, bd tratamiento más reciente- Dejar la fecha del tratamiento más reciente
#proviene de más de una base de datos anual  

  CONS_C1_df_dup_MAY_2020_prev %>%
      dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
      dplyr::filter(concat_hash_sus_prin %in% edad_ini_cons_sus_prin_up_75) %>%  
      dplyr::group_by(concat_hash_sus_prin) %>%
      dplyr::add_tally(name="n_edad_ini_cons_sus_prin_sus_prin_concat") %>%  
      dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
      dplyr::ungroup() %>%
      dplyr::filter(n_dis>1) %>% 
      dplyr::arrange(concat_hash_sus_prin,desc(ano_bd)) %>%
      dplyr::filter(!is.na(edad_ini_sus_prin))%>% #8138
      dplyr::select(row, hash_key, concat_hash_sus_prin,ano_bd, edad_ini_cons, edad_ini_sus_prin,sus_principal,n_edad_ini_cons_sus_prin_sus_prin_concat)%>%
      dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::mutate(max_ano=max(ano_bd))%>%
    dplyr::ungroup()%>%
    #dplyr::slice(which.max(ano_bd)) %>% #MAY 2020, dejé como un procedimiento de APR 2020
    dplyr::filter(max_ano==ano_bd) %>%
      dplyr::ungroup() %>%
    assign("hash_edadinisusprin_most_recent_db",., envir = .GlobalEnv) %>%#APR 2020=  casos // #MAY 2020= 8179 (2,824 usuarios)
    dplyr::group_by(concat_hash_sus_prin)%>%
    distinct(edad_ini_sus_prin,.keep_all=T)%>%
    dplyr::mutate(n_dis=n_distinct(edad_ini_sus_prin)) %>%
    dplyr::filter(n_dis>1)%>% #
    dplyr::mutate(edad_ini_sus_prin_=paste0("edad_ini_sus_prin_",row_number()))%>%
    tidyr::pivot_wider(id_cols =concat_hash_sus_prin,names_from = edad_ini_sus_prin_, values_from = edad_ini_sus_prin,names_repair="minimal",values_fill = list(n = ""))%>%
    dplyr::rename("edad_ini_sus_prin"="edad_ini_sus_prin_1")%>%
    assign("hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b",., envir = .GlobalEnv) #xxxxx casos de xxx HASHs

hash_edad_ini_cons_sus_prin_most_recent_db_1a <- hash_edadinisusprin_most_recent_db%>%  #>>>>
  group_by(concat_hash_sus_prin)%>%
  distinct(edad_ini_sus_prin,.keep_all=T)%>%
  dplyr::mutate(n_dis=n_distinct(edad_ini_sus_prin)) %>%
  dplyr::filter(n_dis==1) %>%
  ungroup()     

#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b %>% separate(concat_hash_sus_prin,sep="_",into=c("hash_key","sus_prin"))%>% group_by(hash_key)

#_#_#_#_#_#_
#_#_#_#_#_#_
#2a. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente
#misma edad base de datos por año, pero más de 2 casos ---> valor + frecuente

#TIENE 0 CASOS...

CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% edad_ini_cons_sus_prin_up_75) %>% 
    dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::add_tally() %>%  
    dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
    dplyr::ungroup() %>%
    dplyr::filter(n_dis==1,n>2) %>% #más de 2 hash, pero todos dentro de la misma bd del mismo año
    dplyr::select(-n) %>%
    dplyr::arrange(concat_hash_sus_prin,desc(ano_bd)) %>%
    dplyr::filter(!is.na(edad_ini_sus_prin))%>%
    dplyr::mutate(concat_hash_susini_edadinisusprin=paste0(concat_hash_sus_prin,"_",edad_ini_sus_prin)) %>%
    dplyr::group_by(concat_hash_susini_edadinisusprin) %>%
    dplyr::add_tally() %>%  #agrego un nuevo n, para contar los distintos nacionalidades
    dplyr::select(row, concat_hash_susini_edadinisusprin,concat_hash_sus_prin, ano_bd, edad_ini_sus_prin, sus_principal,n)%>%
    dplyr::ungroup() %>%  
    dplyr::group_by(concat_hash_sus_prin) %>%
  #dplyr::slice(which.max(n)) %>% #me quedo con la concatenación por hash key que más se repite.
    dplyr::top_n(1,n)%>%
   #aquí ya filtramos aquellos casos que más se repiten por cada combinación de usuario y sustancia principal
    dplyr::rename("cases_by_concat_hash_edad_ini_cons"="n")%>%
    dplyr::ungroup() %>%
    assign("hash_edadinisusprin_most_freq_value",., envir = .GlobalEnv)%>%
    dplyr::select(-cases_by_concat_hash_edad_ini_cons)%>%
    group_by(concat_hash_sus_prin)%>%
    add_tally()%>%
    dplyr::filter(n>1)%>% #99 casos
    dplyr::mutate(edad_ini_sus_prin_=paste0("edad_ini_sus_prin_",row_number()))%>%
    tidyr::pivot_wider(id_cols =concat_hash_sus_prin,names_from = edad_ini_sus_prin_, values_from = edad_ini_sus_prin,names_repair="minimal",values_fill = list(n = ""))%>%
    dplyr::rename("edad_ini_sus_prin"="edad_ini_sus_prin_1")%>%
    assign("hash_edad_ini_cons_sus_prin_most_freq_value_more_one_value_2a2",., envir = .GlobalEnv) #xxxxx casos de xxx HASHs

#seleccionar los casos en que en la misma base de datos hay sólo un caso que es mayor
hash_edad_ini_cons_sus_prin_most_freq_value_2a1 <- hash_edadinisusprin_most_freq_value%>% 
  dplyr::select(-cases_by_concat_hash_edad_ini_cons)%>%
  group_by(concat_hash_sus_prin)%>%
  add_tally()%>%
  dplyr::filter(n==1) %>%
  dplyr::select(-n, -row, -ano_bd)
#%>% dplyr::filter(concat_hash_sus_prin=="18c831d99a158c8dffda2acf1bd44076_Pasta Base")
#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b %>% separate(concat_hash_sus_prin,sep="_",into=c("hash_key","sus_prin"))%>% group_by(hash_key)
invisible(
hash_edadinisusprin_most_freq_value %>% 
    group_by(concat_hash_sus_prin)%>%
    add_tally()%>%
    dplyr::filter(n>1)%>% dplyr::filter(concat_hash_sus_prin=="3298142344cac01bc0eb330020572a55_Alcohol")
)
#_#_#_#_#_#_
#_#_#_#_#_#_
#2b. distinta edad, misma bd tratamiento, más de 2 casos- Dejar la fecha del tratamiento más frecuente. Casos con fecha de trat + reciente
CONS_C1_df_dup_MAY_2020_prev %>% 
  dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_1b["hash_key"])))%>%
  dplyr::group_by(hash_key,sus_principal,edad_ini_sus_prin) %>%
  dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
  dplyr::add_tally(name="n_por_hash_edad_ini_conssusprin") %>%  
  dplyr::ungroup()%>%
  dplyr::filter(!is.na(edad_ini_sus_prin))%>%
  dplyr::group_by(concat_hash_sus_prin) %>%
  dplyr::add_tally(name="n_por_hash") %>%  
  dplyr::arrange(desc(n_por_hash_edad_ini_conssusprin))%>%
  #  dplyr::ungroup()%>%
  dplyr::top_n(1,n_por_hash_edad_ini_conssusprin)%>%
  dplyr::arrange(desc(n_por_hash),concat_hash_sus_prin)%>%
  dplyr::distinct(concat_hash_sus_prin,edad_ini_sus_prin,.keep_all=T)%>%
  dplyr::select(row, hash_key, ano_bd, concat_hash_sus_prin,edad_ini_cons,edad_ini_sus_prin, n_por_hash,n_por_hash_edad_ini_conssusprin) %>%
  dplyr::group_by(concat_hash_sus_prin)%>%
  dplyr::add_tally(name="n_por_hash_edad_ini_conssusprin") %>%
  assign("hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b",., envir = .GlobalEnv)

hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b %>%
  dplyr::filter(n_por_hash_edad_ini_conssusprin>1)%>% #45
  dplyr::mutate(edad_ini_sus_prin_=paste0("edad_ini_sus_prin_",row_number()))%>%
  tidyr::pivot_wider(id_cols =concat_hash_sus_prin,names_from = edad_ini_sus_prin_, values_from = edad_ini_sus_prin,names_repair="minimal",values_fill = list(n = ""))%>%
  dplyr::rename("edad_ini_sus_prin"="edad_ini_sus_prin_1")%>%
  assign("hash_edad_ini_conssusprin_most_recent_db_more_one_value__mfv_more_one_value_2b2",., envir = .GlobalEnv) 

hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b1<-
  hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b%>%
  dplyr::filter(n_por_hash_edad_ini_conssusprin==1)%>%
  dplyr::select(concat_hash_sus_prin,edad_ini_sus_prin)

#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b %>% separate(concat_hash_sus_prin,sep="_",into=c("hash_key","sus_prin"))%>% group_by(hash_key)

#_#_#_#_#_#_
#_#_#_#_#_#_
# 3. Sólo 2 casos . fechas de nacimiento, en la misma base de datos anual.
#misma edad base de datos por año, pero sólo 2 casos ---> se obtiene la media
#Actualizar a mayo
CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% edad_ini_cons_sus_prin_up_75) %>% 
    dplyr::group_by(concat_hash_sus_prin) %>%
    dplyr::add_tally() %>%  
    dplyr::mutate(n_dis=n_distinct(ano_bd)) %>%
    dplyr::ungroup() %>%
    dplyr::filter(n_dis==1,n==2) %>% #casos en que hay que recurrir a otras variables
    dplyr::arrange(concat_hash_sus_prin,desc(ano_bd)) %>%
    dplyr::filter(!is.na(edad_ini_sus_prin))%>%
    dplyr::select(row,concat_hash_sus_prin, hash_key, ano_bd, edad_ini_sus_prin, sus_principal)%>%
    #dejarla como segunda nacionalidad
    dplyr::group_by(concat_hash_sus_prin) %>% 
    dplyr::mutate(rn=row_number()) %>% 
    as.data.frame() %>%
    reshape(idvar = "concat_hash_sus_prin", timevar = "rn", direction = "wide") %>% 
    dplyr::mutate(mean_edad_ini_sus_prin=round(rowMeans(cbind(edad_ini_sus_prin.1,edad_ini_sus_prin.2), na.rm=T),0)) %>%
    dplyr::select(concat_hash_sus_prin,mean_edad_ini_sus_prin) %>%
  dplyr::arrange(concat_hash_sus_prin)%>%
  assign("edad_ini_conssusprin_misma_bd_2_casos_3",., envir = .GlobalEnv)

#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b %>% separate(concat_hash_sus_prin,sep="_",into=c("hash_key","sus_prin"))%>% group_by(hash_key)

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% edad_ini_cons_up_75) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>%
#dplyr::filter(hash_key %in% as.character(unlist(hash_sus_ini_most_freq_value_more_one_value_2a2[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>%
#dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_1a[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_1b[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))) %>% group_by(hash_key)%>% print()
#CONS_C1_df_dup_MAY_2020_prev0 %>% dplyr::filter(hash_key %in% as.character(unlist(hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"hash_key"]))) %>% group_by(hash_key)%>% print()

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
invisible(c("Manual Review"))
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#
#hash_edad_ini_cons_sus_prin_most_recent_db_1a
#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b 
#hash_edad_ini_cons_sus_prin_most_freq_value_2a1 
#hash_edad_ini_cons_sus_prin_most_freq_value_more_one_value_2a2 
#hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1 
#hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2

#casos a descartar y a investigar a futuro
casos_fecha_inicio_cons_sus_prin_empates_3 <-
  CONS_C1_df_dup_MAY_2020_prev %>%
    dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
    dplyr::filter(concat_hash_sus_prin %in% c(as.character(unlist(edad_ini_conssusprin_misma_bd_2_casos_3[,"concat_hash_sus_prin"])),
                                  as.character(unlist(hash_edad_ini_cons_sus_prin_most_freq_value_more_one_value_2a2[,"concat_hash_sus_prin"])),
                                  as.character(unlist(hash_edad_ini_conssusprin_most_recent_db_more_one_value__mfv_more_one_value_2b2[,"concat_hash_sus_prin"]))))%>% 
    dplyr::arrange(concat_hash_sus_prin)%>%
  dplyr::filter(!is.na(edad_ini_sus_prin))%>%
  group_by(concat_hash_sus_prin) %>%
  dplyr::select(concat_hash_sus_prin, ano_bd, edad_ini_sus_prin)%>%
  summarise(mean_edad_ini_cons=round(mean(edad_ini_sus_prin,na.rm=T),0))

`summarise()` ungrouping output (override with `.groups` argument)

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

#hash_edad_ini_cons_sus_prin_most_recent_db_1a
#hash_edad_ini_cons_sus_prin_most_recent_db_more_one_value_1b 
#hash_edad_ini_cons_sus_prin_most_freq_value_2a1 
#hash_edad_ini_cons_sus_prin_most_freq_value_more_one_value_2a2 
#hash_edad_ini_cons_most_recent_db_more_one_value_mfv_2b1 
#hash_edad_ini_cons_most_recent_db_more_one_value__mfv_more_one_value_2b2
#edad_ini_conssusprin_misma_bd_2_casos_3
CONS_C1_df_dup_MAY_2020_prev %>%
  #janitor::tabyl(sexo_2) %>%
  dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
  #0b
  dplyr::mutate(obs=case_when(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(edad_ini_cons_sus_prin_lo_75[,1])))))~glue::glue("{obs};3.02.0b.HASH w/ more than one distinct Age of Onset of Drug Use Prim Subs. Minor differences within users,replaced with mean"),TRUE~obs))%>%
  dplyr::left_join(edad_ini_cons_sus_prin_lo_75,by="concat_hash_sus_prin", suffix=c("","_lo_75"))%>%
  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(mean_edad_ini_sus_prin_lo75), mean_edad_ini_sus_prin_lo75, edad_ini_sus_prin)) %>%
  dplyr::select(-mean_edad_ini_sus_prin_lo75) %>%
  #1a
  dplyr::mutate(obs=case_when(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_cons_sus_prin_most_recent_db_1a)))))~glue::glue("{obs};3.02.1a.HASH w/ more than one distinct Age of Onset of Drug Use Prim Subs. Recent db"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_cons_sus_prin_most_recent_db_1a, by="concat_hash_sus_prin",suffix=c("","_edadinicons_susprin_recent_db")) %>%
  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(edad_ini_sus_prin_edadinicons_susprin_recent_db), edad_ini_sus_prin_edadinicons_susprin_recent_db, edad_ini_sus_prin)) %>%
  dplyr::select(-ends_with("_edadinicons_susprin_recent_db")) %>%
  #2a1
  dplyr::mutate(obs=case_when(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_cons_sus_prin_most_freq_value_2a1)))))~glue::glue("{obs};3.02.2a1.HASH w/ more than one distinct Age of Onset of Drug Use Prim Subs. Most frequent value"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_cons_sus_prin_most_freq_value_2a1, by="concat_hash_sus_prin",suffix=c("","_edadinicons_susprin_mfv")) %>%
  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(edad_ini_sus_prin_edadinicons_susprin_mfv), edad_ini_sus_prin_edadinicons_susprin_mfv, edad_ini_sus_prin)) %>%
  dplyr::select(-ends_with("_edadinicons_susprin_mfv")) %>%  
  #2b1
  dplyr::mutate(obs=case_when(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b1)))))~glue::glue("{obs};3.02.2b1.HASH w/ more than one distinct Age of Onset of Drug Use Prim Subs.>1 recent DB, mfv"),TRUE~obs))%>%
  dplyr::left_join(hash_edad_ini_conssusprin_most_recent_db_more_one_value_mfv_2b1, by="concat_hash_sus_prin",suffix=c("","_edadinicons_susprin_recent_db_mfv")) %>%
  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(edad_ini_sus_prin_edadinicons_susprin_recent_db_mfv), edad_ini_sus_prin_edadinicons_susprin_recent_db_mfv, edad_ini_sus_prin)) %>%
  dplyr::select(-ends_with("_edadinicons_susprin_recent_db_mfv")) %>%  
  # dplyr::filter(!is.na(mean_edad_ini_cons))%>% dplyr::select(hash_key,edad_ini_cons,mean_edad_ini_cons)%>%#solo una prueba
  #3b
  dplyr::mutate(obs=case_when(concat_hash_sus_prin %in% as.character(as.vector(unlist(as.data.table(unlist(casos_fecha_inicio_cons_sus_prin_empates_3)))))~glue::glue("{obs};3.02.3.HASH w/ more than one distinct Age of Onset of Drug Use Prim Subs.Other"),TRUE~obs))%>%
  dplyr::left_join(casos_fecha_inicio_cons_sus_prin_empates_3, by="concat_hash_sus_prin",suffix=c("","_edadinicons_susprin_misma_bd_2_casos_3")) %>%
  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(mean_edad_ini_cons), mean_edad_ini_cons, edad_ini_sus_prin)) %>%
  dplyr::select(-ends_with("_edadinicons_misma_bd_2_casos"),mean_edad_ini_cons) %>% 
  assign("CONS_C1_df_dup_MAY_2020_prev_2",., envir = .GlobalEnv)

descartado=0
if(descartado==1) {
  CONS_C1_df_dup_MAY_2020_prev %>%
    #janitor::tabyl(sexo_2) %>%
  dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
  print()
}

#casos_con_fechas_invalidas_por_fecha_inicio_cons_sus_prin_2_casos_3a %>% group_by(concat_hash_sus_prin) %>% add_tally()%>% View()
invisible(
CONS_C1_df_dup_MAY_2020_prev_2 %>% dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>% group_by(concat_hash_sus_prin) %>% dplyr::mutate(edad_ini_cons_sus_prin_por_hash=n_distinct(edad_ini_sus_prin)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_sus_prin_por_hash>1) %>% nrow() %>%  formatC(format="f", big.mark=",", digits=0)
)
#89 3.02.0b.

#CONS_C1_df_dup_MAY_2020_prev %>% group_by(hash_key) %>% dplyr::mutate(edad_ini_cons_por_hash=n_distinct(edad_ini_cons)) %>% ungroup() %>% dplyr::filter(edad_ini_cons_por_hash>1) %>% nrow() %>%  formatC(, format="f", big.mark=",", digits=0)

#CONS_C1_df_dup_MAY_2020_prev_2 %>% dplyr::group_by(obs) %>% summarise(n=n()) %>% dplyr::filter(n,grepl('3.02.', obs)) %>% View()

#CONS_C1_df_dup_MAY_2020_prev_2 %>% dplyr::filter(grepl('3.02.0b', obs)) %>% group_by(hash_key)

3. Correction of Ties in Variable Values as a Result of Rule-Based Imputations

3.1.Ties in sex

We used a neural network model to obtain a definitive value of the 24 users that had two different sexes entered into the system.

suppressPackageStartupMessages(library(radiant))

#2022
#https://arulvelkumar.wordpress.com/2017/02/28/neuralnet-function-in-r-error-in-neuronsi-weightsi/
#' 2022, modificaciones= Predict method for the nn function
#'
#' @details See \url{https://radiant-rstats.github.io/docs/model/nn.html} for an example in Radiant
#'
#' @param object Return value from \code{\link{nn}}
#' @param pred_data Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
#' @param pred_cmd Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, (e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
#' @param dec Number of decimals to show
#' @param envir Environment to extract data from
#' @param ... further arguments passed to or from other methods
#'
#' @examples
#' result <- nn(titanic, "survived", c("pclass", "sex"), lev = "Yes")
#' predict(result, pred_cmd = "pclass = levels(pclass)")
#' result <- nn(diamonds, "price", "carat:color", type = "regression")
#' predict(result, pred_cmd = "carat = 1:3")
#' predict(result, pred_data = diamonds) %>% head()
#'
#' @seealso \code{\link{nn}} to generate the result
#' @seealso \code{\link{summary.nn}} to summarize results
#'
#' @export
predict.nn <- function(
  object, pred_data = NULL, pred_cmd = "",
  dec = 3, envir = parent.frame(), ...
) {

  if (is.character(object)) return(object)

  ## ensure you have a name for the prediction dataset
  if (is.data.frame(pred_data)) {
    df_name <- deparse(substitute(pred_data))
  } else {
    df_name <- pred_data
  }

  pfun <- function(model, pred, se, conf_lev) {
    pred_val <- try(sshhr(predict(model, pred)), silent = TRUE)

    if (!inherits(pred_val, "try-error")) {
      pred_val %<>% as.data.frame(stringsAsFactors = FALSE) %>%
        select(1) %>%
        set_colnames("Prediction")
    }

    pred_val
  }

  predict_model(object, pfun, "nn.predict", pred_data, pred_cmd, conf_lev = 0.95, se = FALSE, dec, envir = envir) %>%
    set_attr("radiant_pred_data", df_name)
}



#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_



#https://github.com/radiant-rstats/radiant.model/blob/master/R/nn.R
#' Plot method for the nn function
#'
#' @details See \url{https://radiant-rstats.github.io/docs/model/nn.html} for an example in Radiant
#'
#' @param x Return value from \code{\link{nn}}
#' @param shiny Did the function call originate inside a shiny app
#' @param plots Plots to produce for the specified Neural Network model. Use "" to avoid showing any plots (default). Options are "olden" or "garson" for importance plots, or "net" to depict the network structure
#' @param size Font size used
#' @param pad_x Padding for explanatory variable labels in the network plot. Default value is 0.9, smaller numbers (e.g., 0.5) increase the amount of padding
#' @param nrobs Number of data points to show in dashboard scatter plots (-1 for all)
#' @param custom Logical (TRUE, FALSE) to indicate if ggplot object (or list of ggplot objects) should be returned. This option can be used to customize plots (e.g., add a title, change x and y labels, etc.). See examples and \url{https://ggplot2.tidyverse.org} for options.
#' @param ... further arguments passed to or from other methods
#'
#' @examples
#' result <- nn(titanic, "survived", c("pclass", "sex"), lev = "Yes")
#' plot(result, plots = "net")
#' plot(result, plots = "olden")
#'
#' @seealso \code{\link{nn}} to generate results
#' @seealso \code{\link{summary.nn}} to summarize results
#' @seealso \code{\link{predict.nn}} for prediction
#'
#' @importFrom NeuralNetTools plotnet olden garson
#' @importFrom graphics par
#'
#' @export
plot.nn <- function(
  x, plots = "garson", size = 12, pad_x = 0.9, nrobs = -1,
  shiny = FALSE, custom = FALSE, ...
) {

  if (is.character(x) || !inherits(x$model, "nnet")) return(x)
  plot_list <- list()
  ncol <- 1

  if ("olden" %in% plots || "olsen" %in% plots) { ## legacy for typo
    plot_list[["olsen"]] <- NeuralNetTools::olden(x$model, x_lab = x$coefnames, cex_val = 4) +
      coord_flip() +
      theme_set(theme_gray(base_size = size)) +
      theme(legend.position = "none") +
      labs(title = paste0("Olden plot of variable importance (size = ", x$size, ", decay = ", x$decay, ")"))
  }

  if ("garson" %in% plots) {
    plot_list[["garson"]] <- NeuralNetTools::garson(x$model, x_lab = x$coefnames) +
      coord_flip() +
      theme_set(theme_gray(base_size = size)) +
      theme(legend.position = "none") +
      labs(title = paste0("Garson plot of variable importance (size = ", x$size, ", decay = ", x$decay, ")"))
  }

  if ("net" %in% plots) {
    ## don't need as much spacing at the top and bottom
    mar <- par(mar = c(0, 4.1, 0, 2.1))
    on.exit(par(mar = mar$mar))
    return(do.call(NeuralNetTools::plotnet, list(mod_in = x$model, x_names = x$coefnames, pad_x = pad_x, cex_val = size / 16)))
  }

  if ("pdp" %in% plots) {
    ncol <- 2
    for (pn in x$evar) {
      plot_list[[pn]] <- pdp::partial(
        x$model, pred.var = pn, plot = TRUE, rug = TRUE,
        prob = x$type == "classification", plot.engine = "ggplot2"
      ) + labs(y = "")
    }
  }

  if (x$type == "regression" && "dashboard" %in% plots) {
    plot_list <- plot.regress(x, plots = "dashboard", lines = "line", nrobs = nrobs, custom = TRUE)
    ncol <- 2
  }

  if (length(plot_list) > 0) {
    if (custom) {
      if (length(plot_list) == 1) plot_list[[1]] else plot_list
    } else {
      patchwork::wrap_plots(plot_list, ncol = ncol) %>%
        {if (shiny) . else print(.)}
    }
  }
}

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

#genero la base de datos de entrenamiento.
CONS_C1_df_dup_FEB_2020_prev24_train_nn<- CONS_C1_df_dup_FEB_2020_prev24 %>% 
                                          dplyr::filter(!hash_key %in% as.character(unlist(sexo_casos_pendientes_3["hash_key"])))

#_#_#_#_#_#_#_#_#_#_#_#_#_
#First training model
#_#_#_#_#_#_#_#_#_#_#_#_#_

#corro el modelo con la base de entrenamiento
  neuralnet_sex_train0<-
        nn(
          CONS_C1_df_dup_FEB_2020_prev24_train_nn, 
           "sexo_2", #The response variable in the model
         c("estatus_ocupacional","edad", "estado_conyugal_2","tenencia_de_la_vivienda","numero_de_hijos","escolaridad"), 
           lev = "Mujer", #lev  The level in the response variable defined as _success_
           seed = 1245 # seed   Random seed to use as the starting point
           )
 
#hago la validación cruzada
  
           #The best way to determine the optimal values for Size and Decays is to use Cross-Validation. 
            #In radiant, you can use the cv.nn function for this purpose. 
            
            #cv.nn: Cross-validation for a Neural Network
            #https://radiant-rstats.github.io/radiant.model/reference/cv.nn.html
            #K= número de cv pasa para usar
            #repeats= cv repetido
            #decay= decaimiento en parámetros
            #size=número de nodos en la capa oculta
            #seed= semilla aleatoria como inicio
            #trace= imprimir progreso
            #fun= función para usar evaluación del modelo (auc para clasificación, RMSE para regresión; también está Rsq)
            #https://rdrr.io/cran/radiant.model/man/auc.html
            #https://rdrr.io/cran/radiant.model/man/RMSE.html
            #https://rdrr.io/cran/radiant.model/man/profit.html
  
#_#_#_#_#_#_#_#_#_#_#_#_#_
#Cross-validation
#_#_#_#_#_#_#_#_#_#_#_#_#_
    
result_sex_all_cv<- cv.nn(neuralnet_sex_train0, K= nn_K, decay =nn_seq, size = nn_size, fun = auc, trace=T, seed=1245)

Working on size 1 decay 0 
Working on size 1 decay 0.5 
Working on size 1 decay 1 
Working on size 2 decay 0 
Working on size 2 decay 0.5 
Working on size 2 decay 1 
Working on size 3 decay 0 
Working on size 3 decay 0.5 
Working on size 3 decay 1 
Working on size 4 decay 0 
Working on size 4 decay 0.5 
Working on size 4 decay 1 
Working on size 5 decay 0 
Working on size 5 decay 0.5 
Working on size 5 decay 1 

nn_sex_par<- result_sex_all_cv[order(-result_sex_all_cv$"auc (mean)"),]

 #selecciono los parámetros que permitan hacer la mejor estimación

#_#_#_#_#_#_#_#_#_#_#_#_#_
#Final Model
#_#_#_#_#_#_#_#_#_#_#_#_#_
        
neuralnet_sex<- nn(
                CONS_C1_df_dup_FEB_2020_prev24_train_nn[c("sexo_2",
                                                          "estatus_ocupacional",
                                                         "edad",
                                                         "estado_conyugal_2",
                                                         "tenencia_de_la_vivienda",
                                                         "numero_de_hijos",
                                                         "escolaridad")], 
                "sexo_2", #The response variable in the model
                 c("estatus_ocupacional",
                   "edad",
                   "estado_conyugal_2",
                  "tenencia_de_la_vivienda",
                  "numero_de_hijos",
                  "escolaridad"), 
                  lev = "Mujer", #lev   The level in the response variable defined as _success_
                  size = nn_sex_par[1,"size"],
                  decay = nn_sex_par[1,"decay"],
                  seed = 1245 # seed    Random seed to use as the starting point
                    )

#_#_#_#_#_#_#_#_#_#_#_#_#_
#Prediction
#_#_#_#_#_#_#_#_#_#_#_#_#_

CONS_C1_df_dup_FEB_2020_prev24_test_nn<- CONS_C1_df_dup_FEB_2020_prev24 %>% 
                                          dplyr::filter(hash_key %in% as.character(unlist(sexo_casos_pendientes_3["hash_key"])))%>%
                                          dplyr::select(row,hash_key,sexo_2,estatus_ocupacional, edad,estado_conyugal_2, tenencia_de_la_vivienda, numero_de_hijos, escolaridad)

          #predict(result, pred_cmd = "carat = 1:3")
            #https://radiant-rstats.github.io/radiant.model/reference/predict.nn.html
            #pred_data= Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
            #pred_cmd= Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions 
              #for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, 
              #(e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
              #dec=  Number of decimals to show
              #envir= Environment to extract data from
        result_sex_all_cv_pred<- predict(neuralnet_sex, pred_data = CONS_C1_df_dup_FEB_2020_prev24_test_nn)

The model was trained using the rest of the dataset with valid attributes on the variable sex (n= 117,340). We generated a total of 10 cross-validations, with alternatives of 1 to 5 layers, and a threshold of 0, 0.5 and 1 in every model (10x5x3). The model that obtained the highest area under the curve (AUC (mean)= 0.78) had a size of 5 layers and a threshold for weights of 1 (L2 penalty). Tee following figure shows the neural network structure Due to the great amount of categories, we generated a garson plot of importance of variables into the weight.

#sexo_casos_pendientes_3

mar <- par(mar =c(5.1, 4.1, 4.1, 2.1),mgp=c(3, 1, 0))

on.exit(par(mar = mar$mar))

plot(neuralnet_sex, plots = "net", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)

Figure 4a. Neural Network of Sex

#sexo_casos_pendientes_3

mar <- par(mar = c(0, 0, 0, 0))

on.exit(par(mar = mar$mar))

plot(neuralnet_sex, plots = "olden", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)+
  ggtitle("")

Figure 4b. Garson Plot of Variable Importance

The plot presented showed the product of the weights through the model from each predictor to the output and the target category of classifying a user as a women. As seen, the number of kids and an inactive employment status had an important and positive contribution to the weights of the model. In contrast, the condition of a household that is divested, or the condition of widowhood, had a small contribution. Lastly, the condition of employment contributed however in a negative direction into the model, just as the fact that the interviewees did not answer the question about housing tenure.

#sexo_casos_pendientes_3

  sex_replace_neuralnet <-
                  result_sex_all_cv_pred%>%
                     cbind(CONS_C1_df_dup_FEB_2020_prev24_test_nn[c("row","hash_key","sexo_2")])%>%
                    dplyr::select(row, hash_key, everything())%>%
                    as.data.frame()%>%
                    dplyr::mutate(sexo_2_corr= if_else(Prediction>=.5,"Mujer","Hombre",NA_character_))%>%
                    dplyr::arrange(hash_key)%>%
                    dplyr::group_by(hash_key)%>%
                    dplyr::mutate(sexo_2_corr2=lag(sexo_2_corr))%>%
                    dplyr::mutate(sexo_2_2=lag(sexo_2))%>%
                    dplyr::mutate(sexo_2_final=ifelse(sexo_2_2==sexo_2,sexo_2,NA_character_))%>%
                    dplyr::filter(!is.na(sexo_2_corr2))%>%
                    dplyr::mutate(Predicted_sex=ifelse(sexo_2_corr==sexo_2_corr2,sexo_2_corr,NA_character_))%>%
                    dplyr::filter(!is.na(Predicted_sex))%>%
                    dplyr::rename("Prediction_sex"="Prediction")

 
invisible(
    CONS_C1_df_dup_MAY_2020_prev0 %>%
        dplyr::filter(hash_key %in% as.character(as.vector(unlist(as.data.table(unlist(edad_ini_cons_misma_bd_2_casos_3[,"hash_key"])))))) %>% 
        dplyr::filter(hash_key %in% c("014168e096787bf7e4c6951a3b4c27de","0110bb39c8fffafe0bbbe1fd17f51e71"))%>%
        dplyr::select(hash_key,ano_bd,edad_ini_cons,obs)
) 

#21

#Misma bd, 2 casos
              CONS_C1_df_dup_MAY_2020_prev_2%>%
                  dplyr::left_join(sex_replace_neuralnet, by="hash_key",suffix=c("","_sexo_2_neuralnet")) %>%
                  dplyr::mutate(obs=case_when(!is.na(Predicted_sex)~glue::glue("{obs};3.03.1.XX.HASH w/ more than one distinct Sex.2 cases, same yearly dataset.Neural network imputation"),TRUE~obs))%>%  
                  dplyr::mutate(sexo_2= ifelse(!is.na(Predicted_sex), as.character(sexo_2), as.character(sexo_2))) %>%
                  dplyr::select(-ends_with("_sexo_2_neuralnet"),-sexo_2_corr,-sexo_2_corr2,-sexo_2_2,-sexo_2_final) %>% 
                  dplyr::mutate(sexo_2=as.factor(sexo_2))%>%
                  dplyr::select(-mean_edad_ini_cons,-n_edad_ini_cons_sus_prin_sus_prin_concat, -max_ano, -n_dis, -concat_hash_susini_edadinisusprin,-edad_al_ing_n_as,-edad_al_ing_less15,-Prediction_sex,-Predicted_sex)%>%
                  assign("CONS_C1_df_dup_MAY_2020_prev_3",., envir = .GlobalEnv)
#janitor::tabyl(sexo_2)

#CONS_C1_df_dup_FEB_2020_prev25 %>% group_by(hash_key) %>% dplyr::mutate(sexo_2_por_hash=n_distinct(sexo_2)) %>% ungroup() %>% dplyr::filter(sexo_2_por_hash>1) %>% nrow() %>%  formatC(, format="f", big.mark=",", digits=0)
              
#CONS_C1_df_dup_MAY_2020_prev_3 %>% dplyr::filter(grepl('3.03.1.', obs)) %>% dplyr::group_by(hash_key) 

We replaced the value in sex with the imputed one in cases with two entries with different sexes. The imputed cases were restricted to users that both cases were imputed with the same sex (n=19).

3.2.Ties and major differences in the age of onset of drug use

We used a neural network model to obtain valid ages of onset of drug use for 572 users that had more than one age of onset of drug use.

#casos_fecha_inicio_cons_sus_prin_empates_3

#preparo la base de datos con los datos que me interesan
C1_edad_ini_cons_sus_not_ties<-     
            CONS_C1_df_dup_MAY_2020_prev_3 %>% 
            dplyr::filter(!hash_key %in% c(as.character(unlist(casos_fecha_inicio_cons_sus_empates_3["hash_key"]))))%>%
            dplyr::as_tibble()%>%
            janitor::clean_names()%>%
            dplyr::select(row, hash_key, edad_ini_cons, sus_ini, sus_principal,edad_al_ing,edad,ano_bd,edad_ini_sus_prin)%>%
           # sample_frac(.05)%>%
            na.omit()%>%
            dplyr::mutate(rn=row_number())

#_#_#_#_#_#_#_
#_#_#_#_#_#_#_
C1_edad_ini_cons_sus_ties<-
        CONS_C1_df_dup_MAY_2020_prev0 %>% 
        dplyr::filter(hash_key %in% c(as.character(unlist(casos_fecha_inicio_cons_sus_empates_3["hash_key"]))))%>%
        dplyr::as_tibble()%>%
        janitor::clean_names()%>%
        dplyr::select(row, hash_key, edad_ini_cons, sus_ini, sus_principal,edad_al_ing,edad,ano_bd,edad_ini_sus_prin)%>%
        dplyr::arrange(hash_key)%>%
        dplyr::mutate(rn=row_number())

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
          
          #nn: Neural Networks using nnet
          #https://rdrr.io/cran/radiant.model/man/nn.html
          #https://radiant-rstats.github.io/radiant.model/reference/nn.html
          #https://radiant-rstats.github.io/docs/model/nn.html
          #result <- radiant::nn(C1_fech_nac_ties, "fech_nac", "edad:edad_inicio_sustancia_principal", type = "regression")
            result_edad_ini_cons_sus0<- nn(
              C1_edad_ini_cons_sus_not_ties, 
              rvar = "edad_ini_cons", #The response variable in the model
              evar = c(
                "sus_ini", "sus_principal", "edad_al_ing", "edad",
                "ano_bd","edad_ini_sus_prin"
              ), #Explanatory variables in the model
              type = "regression", #Model type (i.e., "classification" or "regression")
              #lev= The level in the response variable defined as _success_
              #size= Number of units (nodes) in the hidden layer
              #decay=  Parameter decay
              #wts=  Weights to use in estimation
              #seed= Random seed to use as the starting point
              #check=  Optional estimation parameters ("standardize" is the default)
              #data_filter= Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
              #form=   Optional formula to use instead of rvar and evar // Ocupar formula
              seed = 1245
            )
          #The model can be “tuned” by changing the Size (i.e., the number of nodes in the hidden layer) 
            #and by adjusting the Decay rate. The higher the value set for Decay, the higher the penalty on 
            #the size of (the sum of squares of) the weights. When Decay is set to 0, the model has the most 
            #flexibility to fit the (training) data accurately. However, without Decay the model is also more 
            #likely to overfit.
            
          #The best way to determine the optimal values for Size and Decays is to use Cross-Validation. 
            #In radiant, you can use the cv.nn function for this purpose. 
            
#_#_#_#_#_#_#_

            #cv.nn: Cross-validation for a Neural Network
            #https://radiant-rstats.github.io/radiant.model/reference/cv.nn.html
            #K= número de cv pasa para usar
            #repeats= cv repetido
            #decay= decaimiento en parámetros
            #size=número de nodos en la capa oculta
            #seed= semilla aleatoria como inicio
            #trace= imprimir progreso
            #fun= función para usar evaluación del modelo (auc para clasificación, RMSE para regresión; también está Rsq)
            #https://rdrr.io/cran/radiant.model/man/auc.html
            #https://rdrr.io/cran/radiant.model/man/RMSE.html
            #https://rdrr.io/cran/radiant.model/man/profit.html
            
            result_edad_ini_cons_all_cv<- 
              cv.nn(result_edad_ini_cons_sus0, K= nn_K, decay = nn_seq, size = nn_size, fun = RMSE, trace=T, seed=1245)

Working on size 1 decay 0 
Working on size 1 decay 0.5 
Working on size 1 decay 1 
Working on size 2 decay 0 
Working on size 2 decay 0.5 
Working on size 2 decay 1 
Working on size 3 decay 0 
Working on size 3 decay 0.5 
Working on size 3 decay 1 
Working on size 4 decay 0 
Working on size 4 decay 0.5 
Working on size 4 decay 1 
Working on size 5 decay 0 
Working on size 5 decay 0.5 
Working on size 5 decay 1 

            #cv.nn(result, decay = seq(0, 1, .5), size = 1:2, fun = profit, cost = 1, margin = 5)
            #30 minutos se demora en sacar size 1:4 con 4 fragmentos en decay
            
            #selecciono los parámetros que permitan hacer la mejor estimación
            nn_edad_ini_cons_par<-
              result_edad_ini_cons_all_cv[which(result_edad_ini_cons_all_cv$`RMSE (mean)`==min(result_edad_ini_cons_all_cv$`RMSE (mean)`)),c("decay","size","RMSE (mean)")]
            
#_#_#_#_#_#_#_
#Modelo final
            result_edad_ini_cons_sus<- nn(
                                      C1_edad_ini_cons_sus_not_ties, 
                                      rvar = "edad_ini_cons",
                                      evar = c(
                                        "sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_sus_prin"
                                      ), 
                                      type = "regression", 
                                      decay= as.numeric(nn_edad_ini_cons_par[1]),
                                      size= as.numeric(nn_edad_ini_cons_par[2]),
                                      seed = 1245
            )
            #33 MINUTOS DURA
            
#_#_#_#_#_#_#_
#PREDICT
                    
            #https://radiant-rstats.github.io/radiant.model/reference/predict.nn.html
            #pred_data= Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
            #pred_cmd= Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions 
              #for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, 
              #(e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
              #dec=  Number of decimals to show
              #envir= Environment to extract data from
            
                      #debemos eliminar los NAs
no_es=1
  if (no_es==0){
              print(paste0("comprobar si se reemplazó los valores perdidos por un 0.", 
                    "Independiente de ello, si los lleno, al final los casos hacen un match perfecto a futuro"))
              C1_edad_ini_cons_sus_ties[!complete.cases(C1_edad_ini_cons_sus_ties[, c("sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_sus_prin")]),
                               c("sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_sus_prin")]
          }

#na.omit, sin variables na.
  result_edad_ini_cons_sus_cv_pred<- predict(result_edad_ini_cons_sus, pred_data = na.omit(C1_edad_ini_cons_sus_ties))

To obtain valid ages, we predicted the age of the onset of drug use. We generated a total of 10 cross-validations, with alternatives of 1 to 5 layers, and a threshold of 0, .5 and 1 in every model (10x5x3). The model that obtained the best fit (RMSE (mean)= 2.88) had a size of 5 hidden layers, and a threshold for weights of 0.5 (L2 penalty).

mar <- par(mar = c(0, 0, 0, 0))

on.exit(par(mar = mar$mar))

plot(result_edad_ini_cons_sus, plots = "net", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)

Figure 5a. Neural Network of Age of the Onset of Drug Use

#https://rdrr.io/cran/radiant.model/man/plot.nn.html  
  
  #Options are "olden" or "garson" for importance plots, or "net" to depict the network structure
  #custom es para modificarlo con ggplot2
  
  #neural network as a neural interpretation diagram
  #f the sign of the weights switches after passing the hidden layer

mar <- par(mar = c(0, 0, 0, 0))

on.exit(par(mar = mar$mar))

plot(result_edad_ini_cons_sus, plots = "olden", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)+
  ggtitle("")

Figure 5b. Garson Plot of Variable Importance, Age of the Onset of Drug Use

The plot presented showed the product of the weights through the model from each predictor to the output. As seen, the age of the onset of drug use of the primary substance had an important and positive contribution to the weights of the model. In contrast, the year of the dataset in which cases were obtained had a small contribution. Lastly, starting substances such as cocaine paste base, hallucinogens and tranquilizers, contributed however in a negative direction into the model.

#result_edad_ini_cons_sus_cv_pred 
#na.omit(C1_edad_ini_cons_sus_ties)

age_onset_drug_use_replace_neuralnet_prev <-
                  result_edad_ini_cons_sus_cv_pred%>%
                     cbind(na.omit(C1_edad_ini_cons_sus_ties)[c("row","hash_key","edad_ini_cons")])%>%
                    dplyr::select(row, hash_key, everything())%>%
                    as.data.frame()%>%
                    dplyr::arrange(hash_key)%>%
                    dplyr::group_by(hash_key)%>%
                    dplyr::mutate(edad_ini_cons_2=lag(edad_ini_cons), edad_ini_sus_prin_2=lag(edad_ini_sus_prin), n_hash=n(), rn=row_number(), mean_pr= mean(Prediction))%>%
    janitor::clean_names()%>%
                    dplyr::filter(n_hash>1)%>% #De  1,463 [572] a 1,450 [559]
                    dplyr::ungroup()%>%                
                    dplyr::mutate(diff_mean=abs(edad_ini_cons-mean_pr))%>% #es la diferencia absoluta entre la edad d einicio de consumo y el promedio predicho. EL que tiene menor cantidad, es el que selecciono.p
                    dplyr::group_by(hash_key)%>%
                    dplyr::slice(which.min(diff_mean)) %>%
                    #dplyr::filter(diff_mean==min(diff_mean))%>%
                    dplyr::rename("Prediction_age_onset_dr_use"="prediction")


#SACAR CASOS INVALIDOS PORQUE LA EDAD DE INICIO DE CONSUMO DE SUSTANCIAS, SUSTANCIA PRINCIPAL, 
#  TERMINA SIENDO MENOR A LA EDAD DE INICIO DE CONSUMO A IMPUTAR
  
invalid_users_imputed_age_onset <-
              CONS_C1_df_dup_MAY_2020_prev_3%>%
                              dplyr::left_join(age_onset_drug_use_replace_neuralnet_prev[,c("hash_key", "edad_ini_cons")], by="hash_key",suffix=c("","_age_of_onset_drug_use_neuralnet")) %>%
                              dplyr::filter(!is.na(edad_ini_cons_age_of_onset_drug_use_neuralnet))%>%
                              dplyr::mutate(edad_ini_cons_age_onset=ifelse(edad_ini_cons_age_of_onset_drug_use_neuralnet>edad_ini_sus_prin,1,0))%>%
                              dplyr::group_by(hash_key)%>%
                              dplyr::mutate(sum_inalid_imputed_age=sum(edad_ini_cons_age_onset))%>%
                              dplyr::ungroup()%>%
                              dplyr::filter(sum_inalid_imputed_age>0)%>%
                              dplyr::arrange(hash_key)%>%
              dplyr::select(hash_key,edad_ini_cons_age_of_onset_drug_use_neuralnet,edad_ini_sus_prin,sum_inalid_imputed_age)%>%
  group_by(hash_key)



age_onset_drug_use_replace_neuralnet <-
                    age_onset_drug_use_replace_neuralnet_prev %>%
  dplyr::filter(!hash_key %in% as.character(unlist(invalid_users_imputed_age_onset["hash_key"])))

#21 

#Misma bd, 2 casos
              CONS_C1_df_dup_MAY_2020_prev_3%>%
                  dplyr::left_join(age_onset_drug_use_replace_neuralnet[,c("hash_key", "edad_ini_cons","edad_ini_sus_prin")], by="hash_key",suffix=c("","_age_of_onset_drug_use_neuralnet")) %>%
                  dplyr::mutate(obs=case_when(!is.na(edad_ini_cons_age_of_onset_drug_use_neuralnet)~glue::glue("{obs};3.03.2.XX.HASH w/ more than one distinct Age of Onset Drug Use.Neural network imputation of ties"),TRUE~obs))%>%  
                
                  dplyr::mutate(edad_ini_cons= ifelse(!is.na(edad_ini_cons_age_of_onset_drug_use_neuralnet), as.integer(edad_ini_cons_age_of_onset_drug_use_neuralnet),  as.integer(edad_ini_cons))) %>%
                
                  dplyr::select(-ends_with("_age_of_onset_drug_use_neuralnet")) %>% 
                
                  dplyr::mutate(edad_ini_cons= as.integer(edad_ini_cons))%>%
                  dplyr::mutate(edad_ini_sus_prin= as.integer(edad_ini_sus_prin))%>%
                  assign("CONS_C1_df_dup_MAY_2020_prev_4",., envir = .GlobalEnv)
#janitor::tabyl(sexo_2)

#CONS_C1_df_dup_FEB_2020_prev25 %>% group_by(hash_key) %>% dplyr::mutate(sexo_2_por_hash=n_distinct(sexo_2)) %>% ungroup() %>% dplyr::filter(sexo_2_por_hash>1) %>% nrow() %>%  formatC(, format="f", big.mark=",", digits=0)

#CONS_C1_df_dup_MAY_2020_prev_4 %>% dplyr::filter(grepl('3.03.2.', obs)) %>% dplyr::group_by(hash_key) 

We selected the age of the onset of drug use of cases within users that had the same amount of different values in the age of the onset of drug use. We also extended this selection to the age of the onset of drug use in the primary substance (users=481).

3.3.Ties and major differences in the age of the onset of drug use of primary substance

We used a neural network model to obtain valid ages of onset of drug use of the primary substance for 489 users that had more than one age of the onset of drug use in treatments with the same primary substance.

#casos_fecha_inicio_cons_sus_prin_empates_3

age_onset_drug_use_replace_neuralnet_for_concat<-
            age_onset_drug_use_replace_neuralnet %>%
              dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal))

#preparo la base de datos con los datos que me interesan
C1_edad_ini_cons_sus_prin_not_ties<-     
            CONS_C1_df_dup_MAY_2020_prev_4 %>% 
            dplyr::filter(!concat_hash_sus_prin %in% c(as.character(unlist(casos_fecha_inicio_cons_sus_prin_empates_3["concat_hash_sus_prin"]))))%>%
  #"_"_
  #SACO LOS CASOS QUE TIENEN QUE VER CON LA IMPUTACION ANTERIOR   
            dplyr::filter(!concat_hash_sus_prin %in% c(as.character(unlist(age_onset_drug_use_replace_neuralnet_for_concat["concat_hash_sus_prin"]))))%>%
            dplyr::as_tibble()%>%
            janitor::clean_names()%>%
            dplyr::select(row, concat_hash_sus_prin, hash_key, edad_ini_cons, sus_ini, sus_principal, edad_al_ing, edad, ano_bd, edad_ini_sus_prin)%>%
           # sample_frac(.05)%>%
            na.omit()%>%
            dplyr::mutate(rn=row_number())

#_#_#_#_#_#_#_
#_#_#_#_#_#_#_
C1_edad_ini_cons_sus_prin_ties<-
        CONS_C1_df_dup_MAY_2020_prev %>% 
        dplyr::mutate(concat_hash_sus_prin=paste0(hash_key,"_",sus_principal)) %>%
        dplyr::filter(concat_hash_sus_prin %in% c(as.character(unlist(casos_fecha_inicio_cons_sus_prin_empates_3["concat_hash_sus_prin"]))))%>%
    #SACO LOS CASOS QUE TIENEN QUE VER CON LA IMPUTACION ANTERIOR   
            dplyr::filter(!concat_hash_sus_prin %in% c(as.character(unlist(age_onset_drug_use_replace_neuralnet_for_concat["concat_hash_sus_prin"]))))%>%
        dplyr::as_tibble()%>%
        janitor::clean_names()%>%
        dplyr::select(row, concat_hash_sus_prin, hash_key, edad_ini_cons, sus_ini, sus_principal, edad_al_ing, edad, ano_bd, edad_ini_sus_prin)%>%
        dplyr::arrange(concat_hash_sus_prin)%>%
        dplyr::mutate(rn=row_number())

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
          
          #nn: Neural Networks using nnet
          #https://rdrr.io/cran/radiant.model/man/nn.html
          #https://radiant-rstats.github.io/radiant.model/reference/nn.html
          #https://radiant-rstats.github.io/docs/model/nn.html
          #result <- radiant::nn(C1_fech_nac_ties, "fech_nac", "edad:edad_inicio_sustancia_principal", type = "regression")
            result_edad_ini_cons_sus_prin0<- nn(
              C1_edad_ini_cons_sus_prin_not_ties, 
              rvar = "edad_ini_sus_prin", #The response variable in the model
              evar = c(
                "sus_ini", "sus_principal", "edad_al_ing", "edad",
                "ano_bd","edad_ini_cons"
              ), #Explanatory variables in the model
              type = "regression", #Model type (i.e., "classification" or "regression")
              #lev= The level in the response variable defined as _success_
              #size= Number of units (nodes) in the hidden layer
              #decay=  Parameter decay
              #wts=  Weights to use in estimation
              #seed= Random seed to use as the starting point
              #check=  Optional estimation parameters ("standardize" is the default)
              #data_filter= Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
              #form=   Optional formula to use instead of rvar and evar // Ocupar formula
              seed = 1245
            )
          #The model can be “tuned” by changing the Size (i.e., the number of nodes in the hidden layer) 
            #and by adjusting the Decay rate. The higher the value set for Decay, the higher the penalty on 
            #the size of (the sum of squares of) the weights. When Decay is set to 0, the model has the most 
            #flexibility to fit the (training) data accurately. However, without Decay the model is also more 
            #likely to overfit.
            
          #The best way to determine the optimal values for Size and Decays is to use Cross-Validation. 
            #In radiant, you can use the cv.nn function for this purpose. 
            
#_#_#_#_#_#_#_

            #cv.nn: Cross-validation for a Neural Network
            #https://radiant-rstats.github.io/radiant.model/reference/cv.nn.html
            #K= número de cv pasa para usar
            #repeats= cv repetido
            #decay= decaimiento en parámetros
            #size=número de nodos en la capa oculta
            #seed= semilla aleatoria como inicio
            #trace= imprimir progreso
            #fun= función para usar evaluación del modelo (auc para clasificación, RMSE para regresión; también está Rsq)
            #https://rdrr.io/cran/radiant.model/man/auc.html
            #https://rdrr.io/cran/radiant.model/man/RMSE.html
            #https://rdrr.io/cran/radiant.model/man/profit.html
            
            result_edad_ini_cons_susprin_all_cv<- 
              cv.nn(result_edad_ini_cons_sus_prin0, K= nn_K, decay = nn_seq, size = nn_size, fun = RMSE, trace=T, seed=1245)

Working on size 1 decay 0 
Working on size 1 decay 0.5 
Working on size 1 decay 1 
Working on size 2 decay 0 
Working on size 2 decay 0.5 
Working on size 2 decay 1 
Working on size 3 decay 0 
Working on size 3 decay 0.5 
Working on size 3 decay 1 
Working on size 4 decay 0 
Working on size 4 decay 0.5 
Working on size 4 decay 1 
Working on size 5 decay 0 
Working on size 5 decay 0.5 
Working on size 5 decay 1 

            #cv.nn(result, decay = seq(0, 1, .5), size = 1:2, fun = profit, cost = 1, margin = 5)
            #30 minutos se demora en sacar size 1:4 con 4 fragmentos en decay
            
            #selecciono los parámetros que permitan hacer la mejor estimación
    nn_edad_ini_cons_sus_prin_par<-
              result_edad_ini_cons_susprin_all_cv[which(result_edad_ini_cons_susprin_all_cv$`RMSE (mean)`==min(result_edad_ini_cons_susprin_all_cv$`RMSE (mean)`)),c("decay","size","RMSE (mean)")]
            
#_#_#_#_#_#_#_
#Modelo final
            result_edad_ini_cons_sus_prin<- nn(
                                      C1_edad_ini_cons_sus_prin_not_ties, 
                                      rvar = "edad_ini_sus_prin",
                                      evar = c(
                                        "sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_cons"
                                      ), 
                                      type = "regression", 
                                      decay= as.numeric(nn_edad_ini_cons_sus_prin_par[1]),
                                      size= as.numeric(nn_edad_ini_cons_sus_prin_par[2]),
                                      seed = 1245
            )
            #33 MINUTOS DURA
            
#_#_#_#_#_#_#_
#PREDICT
            #https://radiant-rstats.github.io/radiant.model/reference/predict.nn.html
            #pred_data= Provide the dataframe to generate predictions (e.g., diamonds). The dataset must contain all columns used in the estimation
            #pred_cmd= Generate predictions using a command. For example, `pclass = levels(pclass)` would produce predictions 
              #for the different levels of factor `pclass`. To add another variable, create a vector of prediction strings, 
              #(e.g., c('pclass = levels(pclass)', 'age = seq(0,100,20)')
              #dec=  Number of decimals to show
              #envir= Environment to extract data from
            
                      #debemos eliminar los NAs
no_es=1
  if (no_es==0){
              print(paste0("comprobar si se reemplazó los valores perdidos por un 0.", 
                    "Independiente de ello, si los lleno, al final los casos hacen un match perfecto a futuro"))
              C1_edad_ini_cons_sus_ties[!complete.cases(C1_edad_ini_cons_sus_ties[, c("sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_sus_prin")]),
                               c("sus_ini", "sus_principal", "edad_al_ing", "edad","ano_bd","edad_ini_sus_prin")]
          }

#na.omit, sin variables na.
  result_edad_ini_cons_sus_prin_cv_pred<- predict(result_edad_ini_cons_sus_prin, 
                                                  pred_data = na.omit(C1_edad_ini_cons_sus_prin_ties))

To obtain valid ages, we predicted the age of the onset of drug use. We generated a total of 10 cross-validations, with alternatives of 1 to 5 layers, and a threshold of 0, 0.5 and 1 in every model (10x5x3). The model that obtained the best fit (RMSE (mean)= 4.63) had a size of 5 hidden layers, and a threshold for weights of 0.5 (L2 penalty).

mar <- par(mar = c(0, 0, 0, 0))

on.exit(par(mar = mar$mar))

plot(result_edad_ini_cons_sus_prin, plots = "net", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)

Figure 6a. Neural Network of Age of the Onset of Drug Use

#https://rdrr.io/cran/radiant.model/man/plot.nn.html  
  
  #Options are "olden" or "garson" for importance plots, or "net" to depict the network structure
  #custom es para modificarlo con ggplot2
  
  #neural network as a neural interpretation diagram
  #f the sign of the weights switches after passing the hidden layer

mar <- par(mar = c(0, 0, 0, 0))

on.exit(par(mar = mar$mar))

plot(result_edad_ini_cons_sus, plots = "olden", custom=T,size = 9, pad_x = 0.8, nrobs = -1,cex_val = 3)+
  ggtitle("")

Figure 6b. Garson Plot of Variable Importance, Age of the Onset of Drug Use

The plot presented showed the product of the weights through the model from each predictor to the output. As seen, the age of the onset of drug use of the primary substance had an important and positive contribution to the weights of the model. In contrast, the year of the dataset in which cases were obtained had a small contribution. Lastly, starting substances such as cocaine paste base, hallucinogens and tranquilizers, contributed however in a negative direction into the model.

#result_edad_ini_cons_sus_prin_cv_pred 
#na.omit(C1_edad_ini_cons_sus_prin_ties)

age_onset_drug_use_prim_subs_replace_neuralnet_prev <-
                  result_edad_ini_cons_sus_prin_cv_pred%>%
                     cbind(na.omit(C1_edad_ini_cons_sus_prin_ties)[c("row","hash_key","concat_hash_sus_prin","edad_ini_sus_prin")])%>%
                    dplyr::select(row, hash_key, everything())%>%
                    as.data.frame()%>%
                    dplyr::arrange(concat_hash_sus_prin)%>%
                    dplyr::group_by(concat_hash_sus_prin)%>%
                    dplyr::mutate(n_concat_hash=n(), rn=row_number(), mean_pr= mean(Prediction))%>%
    janitor::clean_names()%>%
                    dplyr::filter(n_concat_hash>1)%>% #De  795  [316] a 795 [316]
                    dplyr::ungroup()%>%                
                    dplyr::mutate(diff_mean=abs(edad_ini_sus_prin-mean_pr))%>% #es la diferencia absoluta entre la edad d einicio de consumo sus prin y el promedio predicho. EL que tiene menor cantidad, es el que selecciono.p
                    dplyr::group_by(concat_hash_sus_prin)%>%
                    dplyr::slice(which.min(diff_mean)) %>%
                    #dplyr::filter(diff_mean==min(diff_mean))%>%
                    dplyr::rename("Prediction_age_onset_dr_use_prim_subs"="prediction")


#CONS_C1_df_dup_MAY_2020_prev_4 %>%  dplyr::filter(concat_hash_sus_prin %in% as.character(unlist(na.omit(C1_edad_ini_cons_sus_prin_ties["concat_hash_sus_prin"]))))%>% group_by(concat_hash_sus_prin)


#SACAR CASOS INVALIDOS PORQUE LA EDAD DE INICIO DE CONSUMO DE SUSTANCIAS, SUSTANCIA PRINCIPAL, 
#  TERMINA SIENDO MENOR A LA EDAD DE INICIO DE CONSUMO A IMPUTAR
  
invalid_users_imputed_age_onset_prim_subs <-
              CONS_C1_df_dup_MAY_2020_prev_4%>%
                              dplyr::left_join(age_onset_drug_use_prim_subs_replace_neuralnet_prev[,c("concat_hash_sus_prin", "edad_ini_sus_prin")], by="concat_hash_sus_prin",suffix=c("","_age_of_onset_drug_use_neuralnet")) %>% # glimpse()
                              dplyr::filter(!is.na(edad_ini_sus_prin_age_of_onset_drug_use_neuralnet))%>%
                              dplyr::mutate(edad_ini_sus_prin_age_onset_prim_subs=ifelse(edad_ini_sus_prin_age_of_onset_drug_use_neuralnet<edad_ini_cons,1,0))%>%
                              dplyr::group_by(concat_hash_sus_prin)%>%
                              dplyr::mutate(sum_inalid_imputed_age=sum(edad_ini_sus_prin_age_onset_prim_subs))%>%
                              dplyr::ungroup()%>%
                              dplyr::filter(sum_inalid_imputed_age>0)%>%
                              dplyr::arrange(concat_hash_sus_prin)%>%
              dplyr::select(concat_hash_sus_prin,edad_ini_sus_prin_age_of_onset_drug_use_neuralnet,edad_ini_cons,sum_inalid_imputed_age)%>%
  group_by(concat_hash_sus_prin)

#PARA VER CÓMO VOY
#CONS_C1_df_dup_MAY_2020_prev_4 %>% dplyr::filter(concat_hash_sus_prin=="01ade496577825c5d26c96df19531e9f_Pasta Base") %>% dplyr::select(hash_key, sus_principal, edad_ini_cons, edad_ini_sus_prin)

#NO ME VA A CALZAR, PORQUE EN UNA BASE ANTERIOR (PREV A SOLAS DE MAYO), ESTA COMBINACION DE USUARIO CON SUS PRIN TENIA DISTINTAS FECHAS, QUE ESTÁN YA RESUELTAS AHORA

 
age_onset_drug_use_prim_subs_replace_neuralnet <-
                    age_onset_drug_use_prim_subs_replace_neuralnet_prev %>%
  dplyr::filter(!concat_hash_sus_prin %in% as.character(unlist(invalid_users_imputed_age_onset_prim_subs["concat_hash_sus_prin"])))%>%
  #se supone que ya los descarté de un principio, pero por si acaso
  dplyr::filter(!concat_hash_sus_prin %in% as.character(unlist(age_onset_drug_use_replace_neuralnet_for_concat["concat_hash_sus_prin"])))

#21 

#Misma bd, 2 casos
              CONS_C1_df_dup_MAY_2020_prev_4%>%
                  dplyr::left_join(age_onset_drug_use_prim_subs_replace_neuralnet[,c("concat_hash_sus_prin","edad_ini_sus_prin")], by="concat_hash_sus_prin",suffix=c("","_age_of_onset_drug_use_prim_subs_neuralnet")) %>%
                  dplyr::mutate(obs=case_when(!is.na(edad_ini_sus_prin_age_of_onset_drug_use_prim_subs_neuralnet)~glue::glue("{obs};3.03.3.XX.HASH w/ more than one distinct Age of Onset Drug Use Primary Substance.Neural network imputation of ties"),TRUE~obs))%>%  
                
                  dplyr::mutate(edad_ini_sus_prin= ifelse(!is.na(edad_ini_sus_prin_age_of_onset_drug_use_prim_subs_neuralnet), as.integer(edad_ini_sus_prin_age_of_onset_drug_use_prim_subs_neuralnet),  as.integer(edad_ini_sus_prin))) %>%
                
                  dplyr::select(-ends_with("_age_of_onset_drug_use_prim_subs_neuralnet")) %>% 
                
                  dplyr::mutate(edad_ini_sus_prin= as.integer(edad_ini_sus_prin))%>%
                  assign("CONS_C1_df_dup_MAY_2020_prev_5",., envir = .GlobalEnv)
#janitor::tabyl(sexo_2)

#CONS_C1_df_dup_FEB_2020_prev25 %>% group_by(hash_key) %>% dplyr::mutate(sexo_2_por_hash=n_distinct(sexo_2)) %>% ungroup() %>% dplyr::filter(sexo_2_por_hash>1) %>% nrow() %>%  formatC(, format="f", big.mark=",", digits=0)

#CONS_C1_df_dup_MAY_2020_prev_5 %>% dplyr::filter(grepl('3.03.3.XX.', obs)) %>% dplyr::group_by(hash_key) 
#800 casos y 311 usuarios, 316 combinaciones

We selected the age of the onset of drug use in the primary substance of cases within users that had the same amount of different values in the age of the onset of drug use of primary substance. We also extended this selection to the age of the onset of drug use in the primary substance of admission (users= 296).

4. Standardization of Some Variables

At this point, it is necessary to differentiate between intermediate treatment events (referrals, changes in the treatment center, among others) and different treatments. But what would be a suitable cut-off point?, which is why we explored the amount of days between each entry in users that had more than one treatment.

4.1. Geographical

First, we created the variable called macrozona into the following macro-zones: North (02, 15, 03, 04, 01), Center (08, 05, 06, 07, 13, 16) & South (09,11, 10, 14, 12). Also, we recoded the regions into more readable labels and added the number of the region in parenthesis into the variable nombre_region. We recoded the municipalities/districts of residence of users by taking the notation of the Nationwide Census of 2017 and a standardized code in parenthesis into the variable comuna_residencia_cod.

CONS_C1_df_dup_MAY_2020_prev_5%>%
   dplyr::mutate(macrozona=as.factor(dplyr::recode(region_del_centro,
                                              "DE ANTOFAGASTA"="Norte",
                                              "DE LA ARAUCANIA"="Sur",
                                              "DE ARICA Y PARINACOTA"="Norte",
                                              "DE ATACAMA"="Norte",
                                              "DE AYSEN DEL GENERAL CARLOS IBA?S DEL CAMPO"="Sur",
                                              "DEL BIO-BIO"="Centro",
                                              "DE COQUIMBO"="Norte",
                                              "DE LOS LAGOS"="Sur",
                                              "DE LOS RIOS"="Sur",
                                              "DE MAGALLANES Y LA ANTARTICA CHILENA"="Sur",
                                              "DEL MAULE"="Centro",
                                              "METROPOLITANA"="Centro",
                                              "DE ?BLE"="Centro",
                                              "DEL LIBERTADOR GENERAL  BERNARDO OHIGGINS"="Centro",
                                              "DE TARAPACA"="Norte",
                                              "DE VALPARAISO"="Centro")))%>%
 dplyr::mutate(nombre_region=as.factor(dplyr::recode(region_del_centro,
                                              "DE ANTOFAGASTA"="Antofagasta (02)",
                                              "DE LA ARAUCANIA"="Araucanía (09)",
                                              "DE ARICA Y PARINACOTA"="Arica (15)",
                                              "DE ATACAMA"="Atacama (03)",
                                              "DE AYSEN DEL GENERAL CARLOS IBA?S DEL CAMPO"="Aysén (11)",
                                              "DEL BIO-BIO"="Biobío (08)",
                                              "DE COQUIMBO"="Coquimbo (04)",
                                              "DE LOS LAGOS"="Los Lagos (10)",
                                              "DE LOS RIOS"="Los Ríos (14)",
                                              "DE MAGALLANES Y LA ANTARTICA CHILENA"="Magallanes (12)",
                                              "DEL MAULE"="Maule (07)",
                                              "METROPOLITANA"="Metropolitana (13)",
                                              "DE ?BLE"="Ñuble (16)",
                                              "DEL LIBERTADOR GENERAL  BERNARDO OHIGGINS"="O'Higgins (06)",
                                              "DE TARAPACA"="Tarapacá (01)",
                                              "DE VALPARAISO"="Valparaíso (05)")))%>%
      dplyr::mutate(comuna_residencia_cod=as.factor(dplyr::recode(comuna_residencia,
                        "??A"="ÑUÑOA (13120)",
                        "ALGARROBO"="ALGARROBO (5602)",
                        "ALHUE"="ALHUÉ (13502)",
                        "ALTO DEL CARMEN"="ALTO DEL CARMEN (3302)",
                        "ALTO HOSPICIO"="ALTO HOSPICIO (1107)",
                        "ANCUD"="ANCUD (10202)",
                        "ANDACOLLO"="ANDACOLLO (4103)",
                        "ANGOL"="ANGOL (9201)",
                        "ANTOFAGASTA"="ANTOFAGASTA (2101)",
                        "ANTUCO"="ANTUCO (8302)",
                        "ARAUCO"="ARAUCO (8202)",
                        "ARICA"="ARICA (15101)",
                        "AYSEN"="AYSÉN (11201)",
                        "BUIN"="BUIN (13402)",
                        "BULNES"="BULNES * (8402)",
                        "CA?TE"="CAÑETE (8203)",
                        "CABILDO"="CABILDO (5402)",
                        "CABRERO"="CABRERO (8303)",
                        "CALAMA"="CALAMA (2201)",
                        "CALBUCO"="CALBUCO (10102)",
                        "CALDERA"="CALDERA (3102)",
                        "CALERA DE TANGO"="CALERA DE TANGO (13403)",
                        "CALLE LARGA"="CALLE LARGA (5302)",
                        "CAMARONES"="CAMARONES (15102)",
                        "CAMINA"="CAMIÑA (1402)",
                        "CANELA"="CANELA (4202)",
                        "CARAHUE"="CARAHUE (9102)",
                        "CARTAGENA"="CARTAGENA (5603)",
                        "CASABLANCA"="CASABLANCA (5102)",
                        "CASTRO"="CASTRO (10201)",
                        "CATEMU"="CATEMU (5702)",
                        "CAUQUENES"="CAUQUENES (7201)",
                        "CERRILLOS"="CERRILLOS (13102)",
                        "CERRO NAVIA"="CERRO NAVIA (13103)",
                        "CHA?RAL"="CHAÑARAL (3201)",
                        "CHANCO"="CHANCO (7202)",
                        "CHEPICA"="CHÉPICA (6302)",
                        "CHIGUAYANTE"="CHIGUAYANTE (8103)",
                        "CHILE CHICO"="CHILE CHICO (11401)",
                        "CHILLAN"="CHILLÁN * (8401)",
                        "CHILLAN VIEJO"="CHILLÁN VIEJO * (8406)",
                        "CHIMBARONGO"="CHIMBARONGO (6303)",
                        "Cholchol"="CHOLCHOL (9121)",
                        "CHONCHI"="CHONCHI (10203)",
                        "CISNES"="CISNES (11202)",
                        "COCHAMO"="COCHAMÓ (10103)",
                        "COCHRANE"="COCHRANE (11301)",
                        "CODEGUA"="CODEGUA (6102)",
                        "COELEMU"="COELEMU * (8404)",
                        "COIHUECO"="COIHUECO * (8405)",
                        "COINCO"="COINCO (6103)",
                        "COLBUN"="COLBÚN (7402)",
                        "COLCHANE"="COLCHANE (1403)",
                        "COLINA"="COLINA (13301)",
                        "COLLIPULLI"="COLLIPULLI (9202)",
                        "COLTAUCO"="COLTAUCO (6104)",
                        "COMBARBALA"="COMBARBALÁ (4302)",
                        "CONCEPCION"="CONCEPCIÓN (8101)",
                        "CONCHALI"="CONCHALÍ (13104)",
                        "CONCON"="CONCÓN (5103)",
                        "CONSTITUCION"="CONSTITUCIÓN (7102)",
                        "CONTULMO"="CONTULMO (8204)",
                        "COPIAPO"="COPIAPÓ (3101)",
                        "COQUIMBO"="COQUIMBO (4102)",
                        "CORONEL"="CORONEL (8102)",
                        "CORRAL"="CORRAL (14102)",
                        "COYHAIQUE"="COYHAIQUE (11101)",
                        "CUNCO"="CUNCO (9103)",
                        "CURACAUTIN"="CURACAUTÍN (9203)",
                        "CURACAVI"="CURACAVÍ (13503)",
                        "CURACO DE VELEZ"="CURACO DE VÉLEZ (10204)",
                        "CURANILAHUE"="CURANILAHUE (8205)",
                        "CURARREHUE"="CURARREHUE (9104)",
                        "CUREPTO"="CUREPTO (7103)",
                        "CURICO"="CURICÓ (7301)",
                        "DALCAHUE"="DALCAHUE (10205)",
                        "DIEGO DE ALMAGRO"="DIEGO DE ALMAGRO (3202)",
                        "DO?HUE"="DOÑIHUE (6105)",
                        "EL BOSQUE"="EL BOSQUE (13105)",
                        "EL CARMEN"="EL CARMEN * (8407)",
                        "EL MONTE"="EL MONTE (13602)",
                        "EL QUISCO"="EL QUISCO (5604)",
                        "EL TABO"="EL TABO (5605)",
                        "EMPEDRADO"="EMPEDRADO (7104)",
                        "ERCILLA"="ERCILLA (9204)",
                        "ESTACION CENTRAL"="ESTACIÓN CENTRAL (13106)",
                        "FLORIDA"="FLORIDA (8104)",
                        "FREIRE"="FREIRE (9105)",
                        "FREIRINA"="FREIRINA (3303)",
                        "FRESIA"="FRESIA (10104)",
                        "FRUTILLAR"="FRUTILLAR (10105)",
                        "FUTRONO"="FUTRONO (14202)",
                        "GORBEA"="GORBEA (9107)",
                        "GRANEROS"="GRANEROS (6106)",
                        "GUAITECAS"="GUAITECAS (11203)",
                        "HIJUELAS"="HIJUELAS (5503)",
                        "HUALA?"="HUALAÑÉ (7302)",
                        "HUALAIHUE"="HUALAIHUÉ (10403)",
                        "HUALPEN"="HUALPÉN (8112)",
                        "HUALQUI"="HUALQUI (8105)",
                        "HUARA"="HUARA (1404)",
                        "HUASCO"="HUASCO (3304)",
                        "HUECHURABA"="HUECHURABA (13107)",
                        "ILLAPEL"="ILLAPEL (4201)",
                        "INDEPENDENCIA"="INDEPENDENCIA (13108)",
                        "IQUIQUE"="IQUIQUE (1101)",
                        "ISLA DE MAIPO"="ISLA DE MAIPO (13603)",
                        "ISLA DE PASCUA"="ISLA DE PASCUA (5201)",
                        "JUAN FERNANDEZ"="JUAN FERNÁNDEZ (5104)",
                        "LA CALERA"="CALERA (5502)",
                        "LA CISTERNA"="LA CISTERNA (13109)",
                        "LA CRUZ"="LA CRUZ (5504)",
                        "LA ESTRELLA"="LA ESTRELLA (6202)",
                        "LA FLORIDA"="LA FLORIDA (13110)",
                        "LA GRANJA"="LA GRANJA (13111)",
                        "LA HIGUERA"="LA HIGUERA (4104)",
                        "LA LIGUA"="LA LIGUA (5401)",
                        "LA PINTANA"="LA PINTANA (13112)",
                        "LA REINA"="LA REINA (13113)",
                        "LA SERENA"="LA SERENA (4101)",
                        "LA UNION"="LA UNIÓN (14201)",
                        "LAGO RANCO"="LAGO RANCO (14203)",
                        "LAGO VERDE"="LAGO VERDE (11102)",
                        "LAJA"="LAJA (8304)",
                        "LAMPA"="LAMPA (13302)",
                        "LANCO"="LANCO (14103)",
                        "LAS CABRAS"="LAS CABRAS (6107)",
                        "LAS CONDES"="LAS CONDES (13114)",
                        "LAUTARO"="LAUTARO (9108)",
                        "LEBU"="LEBU (8201)",
                        "LICANTEN"="LICANTÉN (7303)",
                        "LIMACHE"="LIMACHE (5802)",
                        "LINARES"="LINARES (7401)",
                        "LITUECHE"="LITUECHE (6203)",
                        "LLANQUIHUE"="LLANQUIHUE (10107)",
                        "LLAY LLAY"="LLAILLAY (5703)",
                        "LO BARNECHEA"="LO BARNECHEA (13115)",
                        "LO ESPEJO"="LO ESPEJO (13116)",
                        "LO PRADO"="LO PRADO (13117)",
                        "LOLOL"="LOLOL (6304)",
                        "LONCOCHE"="LONCOCHE (9109)",
                        "LONGAVI"="LONGAVÍ (7403)",
                        "LONQUIMAY"="LONQUIMAY (9205)",
                        "LOS ALAMOS"="LOS ÁLAMOS (8206)",
                        "LOS ANDES"="LOS ANDES (5301)",
                        "LOS ANGELES"="LOS ÁNGELES (8301)",
                        "LOS LAGOS"="LOS LAGOS (14104)",
                        "LOS MUERMOS"="LOS MUERMOS (10106)",
                        "LOS SAUCES"="LOS SAUCES (9206)",
                        "LOS VILOS"="LOS VILOS (4203)",
                        "LOTA"="LOTA (8106)",
                        "LUMACO"="LUMACO (9207)",
                        "MACHALI"="MACHALÍ (6108)",
                        "MACUL"="MACUL (13118)",
                        "MAFIL"="MÁFIL (14105)",
                        "MAIPU"="MAIPÚ (13119)",
                        "MALLOA"="MALLOA (6109)",
                        "MARCHIGUE"="MARCHIHUE (6204)",
                        "MARIA ELENA"="MARÍA ELENA (2302)",
                        "MARIA PINTO"="MARÍA PINTO (13504)",
                        "MARIQUINA"="MARIQUINA (14106)",
                        "MAULE"="MAULE (7105)",
                        "MAULLIN"="MAULLÍN (10108)",
                        "MEJILLONES"="MEJILLONES (2102)",
                        "MELIPEUCO"="MELIPEUCO (9110)",
                        "MELIPILLA"="MELIPILLA (13501)",
                        "MOLINA"="MOLINA (7304)",
                        "MONTE PATRIA"="MONTE PATRIA (4303)",
                        "MULCHEN"="MULCHÉN (8305)",
                        "NACIMIENTO"="NACIMIENTO (8306)",
                        "NANCAGUA"="NANCAGUA (6305)",
                        "NAVARINO"="CABO DE HORNOS (12201)",
                        "NAVIDAD"="NAVIDAD (6205)",
                        "NEGRETE"="NEGRETE (8307)",
                        "NINHUE"="NINHUE * (8408)",
                        "NOGALES"="NOGALES (5506)",
                        "NUEVA IMPERIAL"="NUEVA IMPERIAL (9111)",
                        "O´HIGGINS"="O'HIGGINS (11302)",
                        "OLIVAR"="OLIVAR (6111)",
                        "OLLAG?"="OLLAGÜE (2202)",
                        "OLMUE"="OLMUÉ (5803)",
                        "OSORNO"="OSORNO (10301)",
                        "OVALLE"="OVALLE (4301)",
                        "PADRE HURTADO"="PADRE HURTADO (13604)",
                        "PADRE LAS CASAS"="PADRE LAS CASAS (9112)",
                        "PAIHUANO"="PAIGUANO (4105)",
                        "PAILLACO"="PAILLACO (14107)",
                        "PAINE"="PAINE (13404)",
                        "PALENA"="PALENA (10404)",
                        "PALMILLA"="PALMILLA (6306)",
                        "PANGUIPULLI"="PANGUIPULLI (14108)",
                        "PANQUEHUE"="PANQUEHUE (5704)",
                        "PAPUDO"="PAPUDO (5403)",
                        "PAREDONES"="PAREDONES (6206)",
                        "PARRAL"="PARRAL (7404)",
                        "PE?FLOR"="PEÑAFLOR (13605)",
                        "PE?LOLEN"="PEÑALOLÉN (13122)",
                        "PEDRO AGUIRRE CERDA"="PEDRO AGUIRRE CERDA (13121)",
                        "PELARCO"="PELARCO (7106)",
                        "PELLUHUE"="PELLUHUE (7203)",
                        "PEMUCO"="PEMUCO * (8410)",
                        "PENCAHUE"="PENCAHUE (7107)",
                        "PENCO"="PENCO (8107)",
                        "PERALILLO"="PERALILLO (6307)",
                        "PERQUENCO"="PERQUENCO (9113)",
                        "PETORCA"="PETORCA (5404)",
                        "PEUMO"="PEUMO (6112)",
                        "PICA"="PICA (1405)",
                        "PICHIDEGUA"="PICHIDEGUA (6113)",
                        "PICHILEMU"="PICHILEMU (6201)",
                        "PINTO"="PINTO * (8411)",
                        "PIRQUE"="PIRQUE (13202)",
                        "PITRUFQUEN"="PITRUFQUÉN (9114)",
                        "PLACILLA"="PLACILLA (6308)",
                        "PORTEZUELO"="PORTEZUELO * (8412)",
                        "PORVENIR"="PORVENIR (12301)",
                        "POZO ALMONTE"="POZO ALMONTE (1401)",
                        "PRIMAVERA"="PRIMAVERA (12302)",
                        "PROVIDENCIA"="PROVIDENCIA (13123)",
                        "PUCHUNCAVI"="PUCHUNCAVÍ (5105)",
                        "PUCON"="PUCÓN (9115)",
                        "PUDAHUEL"="PUDAHUEL (13124)",
                        "PUENTE ALTO"="PUENTE ALTO (13201)",
                        "PUERTO MONTT"="PUERTO MONTT (10101)",
                        "PUERTO NATALES"="NATALES (12401)",
                        "PUERTO OCTAY"="PUERTO OCTAY (10302)",
                        "PUERTO SAAVEDRA"="SAAVEDRA (9116)",
                        "PUERTO VARAS"="PUERTO VARAS (10109)",
                        "PUMANQUE"="PUMANQUE (6309)",
                        "PUNITAQUI"="PUNITAQUI (4304)",
                        "PUNTA ARENAS"="PUNTA ARENAS (12101)",
                        "PUQUELDON"="PUQUELDÓN (10206)",
                        "PUREN"="PURÉN (9208)",
                        "PURRANQUE"="PURRANQUE (10303)",
                        "PUTAENDO"="PUTAENDO (5705)",
                        "PUYEHUE"="PUYEHUE (10304)",
                        "QUEILEN"="QUEILÉN (10207)",
                        "QUELLON"="QUELLÓN (10208)",
                        "QUEMCHI"="QUEMCHI (10209)",
                        "QUILACO"="QUILACO (8308)",
                        "QUILICURA"="QUILICURA (13125)",
                        "QUILLECO"="QUILLECO (8309)",
                        "QUILLON"="QUILLÓN * (8413)",
                        "QUILLOTA"="QUILLOTA (5501)",
                        "QUILPUE"="QUILPUÉ (5801)",
                        "QUINCHAO"="QUINCHAO (10210)",
                        "QUINTA DE TILCOCO"="QUINTA DE TILCOCO (6114)",
                        "QUINTA NORMAL"="QUINTA NORMAL (13126)",
                        "QUINTERO"="QUINTERO (5107)",
                        "QUIRIHUE"="QUIRIHUE * (8414)",
                        "RANCAGUA"="RANCAGUA (6101)",
                        "RANQUIL"="RÁNQUIL * (8415)",
                        "RAUCO"="RAUCO (7305)",
                        "RECOLETA"="RECOLETA (13127)",
                        "RENAICO"="RENAICO (9209)",
                        "RENCA"="RENCA (13128)",
                        "RENGO"="RENGO (6115)",
                        "REQUINOA"="REQUÍNOA (6116)",
                        "RETIRO"="RETIRO (7405)",
                        "RINCONADA"="RINCONADA (5303)",
                        "RIO BUENO"="RÍO BUENO (14204)",
                        "RIO CLARO"="RÍO CLARO (7108)",
                        "RIO HURTADO"="RÍO HURTADO (4305)",
                        "RIO NEGRO"="RÍO NEGRO (10305)",
                        "ROMERAL"="ROMERAL (7306)",
                        "SAGRADA FAMILIA"="SAGRADA FAMILIA (7307)",
                        "SALAMANCA"="SALAMANCA (4204)",
                        "SAN ANTONIO"="SAN ANTONIO (5601)",
                        "SAN BERNARDO"="SAN BERNARDO (13401)",
                        "SAN CARLOS"="SAN CARLOS * (8416)",
                        "SAN CLEMENTE"="SAN CLEMENTE (7109)",
                        "SAN ESTEBAN"="SAN ESTEBAN (5304)",
                        "SAN FELIPE"="SAN FELIPE (5701)",
                        "SAN FERNANDO"="SAN FERNANDO (6301)",
                        "SAN FRANCISCO DE MOSTAZAL"="MOSTAZAL (6110)",
                        "SAN GREGORIO DE ?QUEN"="SAN GREGORIO (12104)",
                        "SAN IGNACIO"="SAN IGNACIO * (8418)",
                        "SAN JAVIER"="SAN JAVIER (7406)",
                        "SAN JOAQUIN"="SAN JOAQUÍN (13129)",
                        "SAN JOSE DE MAIPO"="SAN JOSÉ DE MAIPO (13203)",
                        "SAN JUAN DE LA COSTA"="SAN JUAN DE LA COSTA (10306)",
                        "SAN MIGUEL"="SAN MIGUEL (13130)",
                        "SAN PABLO"="SAN PABLO (10307)",
                        "SAN PEDRO"="SAN PEDRO (13505)",
                        "SAN PEDRO DE ATACAMA"="SAN PEDRO DE ATACAMA (2203)",
                        "SAN PEDRO DE LA PAZ"="SAN PEDRO DE LA PAZ (8108)",
                        "SAN RAFAEL"="SAN RAFAEL (7110)",
                        "SAN RAMON"="SAN RAMÓN (13131)",
                        "SAN ROSENDO"="SAN ROSENDO (8310)",
                        "SAN VICENTE"="SAN VICENTE (6117)",
                        "SANTA BARBARA"="SANTA BÁRBARA (8311)",
                        "SANTA CRUZ"="SANTA CRUZ (6310)",
                        "SANTA JUANA"="SANTA JUANA (8109)",
                        "SANTA MARIA"="SANTA MARÍA (5706)",
                        "SANTIAGO CENTRO"="SANTIAGO (13101)",
                        "SANTIAGO OESTE"="SANTIAGO (13101)",
                        "SANTIAGO SUR"="SANTIAGO (13101)",
                        "SANTO DOMINGO"="SANTO DOMINGO (5606)",
                        "SIERRA GORDA"="SIERRA GORDA (2103)",
                        "TALAGANTE"="TALAGANTE (13601)",
                        "TALCA"="TALCA (7101)",
                        "TALCAHUANO"="TALCAHUANO (8110)",
                        "TALTAL"="TALTAL (2104)",
                        "TEMUCO"="TEMUCO (9101)",
                        "TENO"="TENO (7308)",
                        "TEODORO SCHMIDT"="TEODORO SCHMIDT (9117)",
                        "TIERRA AMARILLA"="TIERRA AMARILLA (3103)",
                        "TIL-TIL"="TILTIL (13303)",
                        "TIRUA"="TIRÚA (8207)",
                        "TOCOPILLA"="TOCOPILLA (2301)",
                        "TOLTEN"="TOLTÉN (9118)",
                        "TOME"="TOMÉ (8111)",
                        "TORRES DEL PAINE"="TORRES DEL PAINE (12402)",
                        "TORTEL"="TORTEL (11303)",
                        "TRAIGUEN"="TRAIGUÉN (9210)",
                        "TREHUACO"="TREGUACO * (8420)",
                        "TUCAPEL"="TUCAPEL (8312)",
                        "VALDIVIA"="VALDIVIA (14101)",
                        "VALLENAR"="VALLENAR (3301)",
                        "VALPARAISO"="VALPARAÍSO (5101)",
                        "VI? DEL MAR"="VIÑA DEL MAR (5109)",
                        "VICHUQUEN"="VICHUQUÉN (7309)",
                        "VICTORIA"="VICTORIA (9211)",
                        "VICU?"="VICUÑA (4106)",
                        "VILCUN"="VILCÚN (9119)",
                        "VILLA ALEGRE"="VILLA ALEGRE (7407)",
                        "VILLA ALEMANA"="VILLA ALEMANA (5804)",
                        "VILLARRICA"="VILLARRICA (9120)",
                        "VITACURA"="VITACURA (13132)",
                        "YERBAS BUENAS"="YERBAS BUENAS (7408)",
                        "YUMBEL"="YUMBEL (8313)",
                        "YUNGAY"="YUNGAY * (8421)",
                        "ZAPALLAR"="ZAPALLAR (5405)")))%>%
      assign("CONS_C1_df_dup_MAY_2020_prev_6a",., envir = .GlobalEnv)

library(dplyr)
library(choroplethr)

Error: package or namespace load failed for 'choroplethr' in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]):
 there is no package called 'tidycensus'

library(choroplethrMaps)
library(choroplethrAdmin1)
#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#__#_#_#_#_#_#_#_#_#_#_#_

library(ggplot2)
data(admin1.map, package="choroplethrAdmin1")
#get_admin1_regions("chile") # falta ñuble po la cresta
chile.map = admin1.map[admin1.map$admin == "chile" & admin1.map$long > -80, ]
#ggplot(chile.map, aes(long, lat, group=group)) + geom_polygon() + coord_map()

arica <- list(v ="01", n = "region de arica y parinacota")
tarapaca <- list(v = "02", n= "region de tarapaca")
antofagasta <- list(v = "6.24",n = "region de antofagasta")
atacama <- list(v = 6.66, n = "region de atacama")
coquimbo <- list(v = 6.93, n = "region de coquimbo")
valparaiso <- list(v = 7.19,n = "region de valparaiso")
metropolitana <- list(v = 6.33, n = "region metropolitana de santiago")
ohiggins <- list(v = 5.27, n = "region del libertador general bernardo o'higgins")
maule <- list(v = 5.99, n = "region del maule")
nuble <- list(v = 5.99, n = "region de ñuble")
biobio <- list(v = 8.07, n = "region del biobio")
araucania <- list(v = 6.07, n = "region de la araucania")
losrios <- list(v = 4.72, n = "region de los rios")
loslagos <- list(v = 3.82, n = "region de los lagos")
aysen <- list(v = 3.84, n = "region aisen del general carlos ibanez del campo")
magallanes <- list(v = 2.63, n = "region de magallanes y de la antartica chilena")

dat2 <- data.frame(
  region = c(arica$n,tarapaca$n,antofagasta$n,atacama$n,coquimbo$n,valparaiso$n,
             metropolitana$n,ohiggins$n,maule$n,nuble$n, biobio$n,araucania$n,losrios$n,
             loslagos$n,aysen$n,magallanes$n)
)

datos_region <- chilemapas::    generar_regiones(mapa = chilemapas::mapa_comunas)

casos_region<-CONS_C1_df_dup_MAY_2020_prev_6a %>%
    group_by(nombre_region)%>%
    summarise(n=n())%>%
    dplyr::mutate(cod.V1= str_sub(nombre_region, -3, -2))
    
dat2<-datos_region %>%
  dplyr:::left_join(as_tibble(casos_region), by=c("codigo_region"="cod.V1")) %>%
  dplyr::mutate(tooltip=paste0(`nombre_region`,"=",formatC(as.numeric(n), format="f", big.mark=",", digits=0)))

gg2<-ggplot(data=dat2) +
  #geom_sf(aes(fill=as.numeric(dat2$value))) +
  theme_minimal() +
  geom_sf_interactive(aes(fill = cut(as.numeric(dat2$`n`),round(quantile(as.numeric(dat2$`n`),na.rm=T),0), include.lowest=TRUE,dig.lab=10,right=T), tooltip = tooltip, data_id = codigo_region))+
  scale_fill_brewer(palette="Blues",na.value="grey80") +
  labs(caption='Source: ',fill="No. of cases\n(quantiles)")# geom_sf(data = dat2, aes(fill = value)) +
#  coord_sf( expand = T)
tooltip_css <- "background-color:gray;color:white;font-style:italic;padding:10px;border-radius:10px 20px 10px 20px;"

ggiraph(code = {print(gg2)}, tooltip_extra_css = tooltip_css, tooltip_opacity = .75 )

Figure 7a. Cases By Region

As seen in Figure 7a, most of the treatments have been concentrated in the Metropolitan Region.

mapa_comunas = chilemapas::mapa_comunas

codigo_comunas<-
CONS_C1_df_dup_MAY_2020_prev_6a%>%
    dplyr::filter(grepl("Metropolitana",nombre_region))%>%
    dplyr::group_by(comuna_residencia_cod)%>%
    summarise(n=n())%>%
    dplyr::mutate(cod.V1= str_sub(comuna_residencia_cod, -6, -2))%>%
   # dplyr::select(-comuna_residencia_cod)%>%
    dplyr::mutate(cod.V1= stringr::str_replace(cod.V1, "\\(", "0"))
    
dat2<-mapa_comunas %>%
  dplyr:::left_join(as_tibble(codigo_comunas), by=c("codigo_comuna"="cod.V1")) %>%
  dplyr::filter(codigo_region=="13")%>%
  dplyr::mutate(tooltip=paste0(`comuna_residencia_cod`,"=",formatC(as.numeric(n), format="f", big.mark=",", digits=0)))%>%
  dplyr::mutate(n_cut=cut(as.numeric(n),round(quantile(as.numeric(n),na.rm=T),0), include.lowest=TRUE,dig.lab=10,right=T))

dat2 <- as_tibble(dat2)

suppressPackageStartupMessages(library(ggiraph))
suppressPackageStartupMessages(library(sf))

gg2<-
  ggplot(data=dat2) +
 # geom_sf(aes(fill=factor(n),geometry=geometry)) +
  theme_minimal() +
  geom_sf_interactive(aes(fill = n, tooltip = tooltip, data_id = codigo_comuna, geometry= geometry))+
  scale_fill_gradient(low="white",high="steelblue") +
  
  #scale_colour_brewer(breaks = rev(levels(dsamp$clarity)))+
  labs(caption='Source: ',fill="No. of cases")# geom_sf(data = dat2, aes(fill = value)) +
#  coord_sf( expand = T)

tooltip_css <- "background-color:gray;color:white;font-style:italic;padding:10px;border-radius:10px 20px 10px 20px;"

ggiraph(code = {print(gg2)}, tooltip_extra_css = tooltip_css, tooltip_opacity = .75 )

Figure 7b. Cases By Municipality

As seen in Figure 7b, most of the treatments have been concentrated in La Pintana, Puente Alto, Pudahuel, and San Bernardo. In contrast, only a few treatments were registered in San Pedro, Alhue and Vitacura.

4.2. Related to drug use

We also created sus_ini_mod and sus_principal_mod which includes only the major categories related to drug use, leaving the rest of the categories as “other” drugs.

#Hacer una variable con las drogas principales en sustancia principal (4 principales, el resto otros)

CONS_C1_df_dup_MAY_2020_prev_6a%>%
  dplyr::mutate(sus_ini_mod= dplyr::case_when(sus_ini!="Alcohol"&sus_ini!="Cocaína"&sus_ini!="Marihuana"&sus_ini!="Pasta Base"~"Otros",TRUE~as.character(sus_ini)))%>%
    dplyr::mutate(sus_principal_mod= dplyr::case_when(sus_principal!="Alcohol"&sus_principal!="Cocaína"&sus_principal!="Marihuana"&sus_principal!="Pasta Base"~"Otros",TRUE~as.character(sus_principal)))%>%
    dplyr::mutate(origen_ingreso_mod= dplyr::case_when(grepl("Otro Centro Tratamiento",as.character(origen_ingreso))~"Derivación Asistida", TRUE~as.character(origen_ingreso)))%>%
      dplyr::mutate(motivodeegreso_mod= dplyr::case_when(grepl("trativa",as.character(motivodeegreso_mod))~"Alta Administrativa", TRUE~as.character(motivodeegreso_mod)))%>%
  dplyr::mutate(sus_ini_mod=factor(sus_ini_mod),
                sus_principal_mod=factor(sus_principal_mod),
                origen_ingreso_mod=factor(origen_ingreso_mod))%>%
      assign("CONS_C1_df_dup_MAY_2020_prev_6b",., envir = .GlobalEnv)

4.3. Related to social support and socioeconomical variables

We also recoded a variable that serves as a proxy of the social resources of each user, and some other socioeconomical variables such as . We created the variables sus_ini_mod and sus_principal_mod which includes only the major categories related to drug use, leaving the rest of the categories as “other” drugs.

Relative to the tenure status of households, many of them had discrepancies when responding to the type of housing they lived in. We discarded the cases that answered “caleta o punto de calle” (living on the streets), “hospedería” (guesthouses), and “residencial, pensión, hostal” (pension and hostels), but qualified their tenure status as “owned” or “yielded”. The resulting variable is called tenencia_de_la_vivienda_mod.

Regarding area of work, we found several sources of discrepancies, such as self-employed directors and managers and professions in the military, or professions in the military in an area in which a person that declares to run his/her own enterprise (“empleador”). “Does not apply” values (N/A) were treated as null values. The resulting variable is rubro_trabaja_mod.

Lastly, we generated a variable to group ages at admission (edad_al_ing_grupos) into 5 groups: 18-24, 25- 29, 30-35, 36-45, and 45+.

CONS_C1_df_dup_MAY_2020_prev_6b%>%  
#CONS_C1_df_dup_MAY_2020_prev_6b%>%  
#  janitor::tabyl(tenencia_de_la_vivienda,tipo_de_vivienda)%>% copiar_nombres
      dplyr::mutate(motivodeegreso_mod_imp= dplyr::case_when(grepl("trativa",as.character(motivodeegreso_mod_imp))~"Alta Administrativa",TRUE~as.character(motivodeegreso_mod_imp)))%>%
  dplyr::mutate(motivodeegreso_mod_imp=as.factor(motivodeegreso_mod_imp)) %>%
  dplyr::mutate(tipo_de_vivienda_mod=
                  ifelse(as.character(tipo_de_vivienda)=="<NA>",NA,as.character(tipo_de_vivienda)))%>%
  dplyr::mutate(tipo_de_vivienda_mod=
                  ifelse(as.character(tipo_de_vivienda)=="Residencial, pensi?hostal","Residencial, pensión, hostal",as.character(tipo_de_vivienda_mod)))%>%
  dplyr::mutate(tipo_de_vivienda_mod=
                  ifelse(as.character(tipo_de_vivienda_mod)=="Hospeder?","Hospedería",as.character(tipo_de_vivienda_mod)))%>%
dplyr::mutate(tipo_de_vivienda_mod=
                  ifelse(as.character(tipo_de_vivienda_mod)=="Ocupaci?rregular","Ocupación irregular",as.character(tipo_de_vivienda_mod)))%>%
  dplyr::mutate(tipo_de_vivienda_mod=as.factor(tipo_de_vivienda_mod))%>%
  dplyr::mutate(tenencia_de_la_vivienda_mod=
                  dplyr::case_when(as.character(tenencia_de_la_vivienda)=="N/A"~NA_character_,
                                     as.character(tipo_de_vivienda_mod)=="Caleta o punto de calle" & (tenencia_de_la_vivienda=="Propia"|tenencia_de_la_vivienda=="Arrienda"|tenencia_de_la_vivienda=="Cedida")~NA_character_, 
                                   as.character(tipo_de_vivienda_mod)=="Hospedería?" & (tenencia_de_la_vivienda=="Propia"|tenencia_de_la_vivienda=="Cedida")~NA_character_,
                                   as.character(tipo_de_vivienda_mod)=="Residencial, pensión, hostal" & (tenencia_de_la_vivienda=="Propia"|tenencia_de_la_vivienda=="Cedida")~NA_character_,
                                    is.na(tipo_de_vivienda_mod)~NA_character_,
                  TRUE~as.character(tenencia_de_la_vivienda)))%>%
  dplyr::mutate(rubro_trabaja_mod=if_else(as.character(estatus_ocupacional)=="Empleado",as.character(rubro_trabaja),NA_character_,NA_character_))%>%
  dplyr::mutate(rubro_trabaja_mod= 
                  dplyr::case_when(as.character(cat_ocupacional)=="Cuenta propia" & (as.character(rubro_trabaja)== "Ocupaciones Militares"|as.character(rubro_trabaja)== "Directores y Gerentes")~ NA_character_, as.character(cat_ocupacional)=="Empleador" & as.character(rubro_trabaja)== "Ocupaciones Militares"~ NA_character_,           TRUE~ as.character(rubro_trabaja_mod)))%>%
  dplyr::mutate(rubro_trabaja_mod= as.factor(rubro_trabaja_mod))%>%
#CONS_C1_df_dup_MAY_2020_prev_6b%>%  
#    janitor::tabyl(estatus_ocupacional,cat_ocupacional,rubro_trabaja)%>% unlist()%>% data.frame()%>% #data.table::data.table(keep.rownames = T)%>% tidyr::pivot_wider(names_sep="")  

#CONS_C1_df_dup_MAY_2020_prev_6b%>%  
#    dplyr::group_by(estatus_ocupacional, cat_ocupacional,rubro_trabaja)%>%
#    dplyr::summarise(n=n())%>%
#    copiar_nombres()  
  
 #CONS_C1_df_dup_MAY_2020_prev_6b%>%
#    dplyr::mutate(fech_nac=as.character(fech_nac))%>%
#    dplyr::select(fech_nac,edad_grupos)%>%
#    copiar_nombres()    

#data<-CONS_C1_df_dup_JUN_2020%>% dplyr::mutate(numero_de_hijos_mod=ifelse(numero_de_hijos>0,1,0))%>% tabyl(con_quien_vive,estado_conyugal_2,numero_de_hijos_mod,digits=2)
#copiar_nombres(data[[2]])

#18-24, 25- 29, 30-35, 36-45, and 45+.
dplyr::mutate(edad_al_ing_grupos=dplyr::case_when(
  edad_al_ing>45~">45",
      edad_al_ing>=36~"36-45",
      edad_al_ing>=30~"30-35",
      edad_al_ing>=25~"25-29",
      edad_al_ing>=18~"18-24",
      edad_al_ing>=14~"14-17",
      TRUE~NA_character_)) %>%
dplyr::mutate(edad_al_ing_grupos=as.factor(edad_al_ing_grupos)) %>%  
    #edad_al_ing_grupos
    #Edad a la fecha de ingreso a tratamiento en grupos (numérico continuo) //Age at admission in groups
  assign("CONS_C1_df_dup_MAY_2020_prev_6c",., envir = .GlobalEnv)

4.4. Related to days of treatment (>1095)

We observed the remaining cases with more than or equal to 1,095 days (n= 541). It must be noted that SENDA professionals believed that treatments should not last more than 1095 days.

library(DT)
mas_1095_usuarios<-
      CONS_C1_df_dup_MAY_2020_prev_6c%>%
        dplyr::filter(dias_trat_imp>1095)%>%
        dplyr::distinct(hash_key)%>%
        unlist()%>%
        as.character()

mas_1095_usuarios_bd_original<-
CONS_C1_df%>% dplyr::select(HASH_KEY, fech_ing)%>% dplyr::mutate(fech_ing=as.character(fech_ing))%>% dplyr::group_by(HASH_KEY)%>% dplyr::arrange(HASH_KEY,fech_ing)%>% dplyr::mutate(rn=row_number())%>% tidyr::pivot_wider(names_from=rn,values_from=fech_ing)%>% dplyr::filter(HASH_KEY %in% mas_1095_usuarios)

df_tab5<-
CONS_C1_df_dup_MAY_2020_prev_6c%>%
    dplyr::filter(hash_key %in% mas_1095_usuarios)%>%
    dplyr::select(hash_key, ano_bd, fech_ing, dias_trat_imp, fech_egres_imp,tipo_de_plan_2,senda)%>%
    dplyr::left_join(mas_1095_usuarios_bd_original,by=c("hash_key"="HASH_KEY"))

df_tab51<-
CONS_C1_df %>% dplyr::select(HASH_KEY,dias_trat,ano_bd)%>% dplyr::filter(dias_trat>1095)%>% janitor::tabyl(ano_bd)%>% data.frame()
df_tab52<-
df_tab5%>% dplyr::filter(dias_trat_imp>1095)%>% janitor::tabyl(ano_bd)%>% data.frame()

data.frame(cbind(df_tab51,df_tab52))%>% dplyr::select(-ano_bd.1)%>%
    DT::datatable(filter = 'top',colnames = c('Year of the Dataset' =2,'n (original db)' = 3,'Proportion (original db)' = 4,'n (actual db)' = 5,'Proportion (actual db)' = 6),
              caption = htmltools::tags$caption(
          style = 'caption-side: top; text-align: left;',
          'Table 5: ', htmltools::em(paste0('No. of days in treatment >1095. Comparison between raw (n=',formatC(nrow(CONS_C1_df),big.mark=","),') vs. processed database,(n=',formatC(nrow(CONS_C1_df_dup_MAY_2020_prev_6c),big.mark=","),')'))),
        options=list(
  initComplete = JS(
        "function(settings, json) {",
        "$(this.api().tables().body()).css({'font-size': '75%'});",
        "}")))%>%
    formatRound(columns=c('Proportion (original db)','Proportion (actual db)'), digits=2)

The Table above shows that cases that had more than 1,095 days o treatment are well distributed among the different yearly databases. The original dataset had a greater amount of days in treatment (M=265.8800655, q95= 714) compared to the actual dataset (M= 207.666264, q95= 550). Accordingly, the amount of days in treatment with more than 1095 is more frequent in the actual database.

df_tab5<-
df_tab5%>%
  dplyr::group_by(hash_key)%>%
  mutate(n=n())%>%
  ungroup()

  knitr::kable(df_tab5,format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
            caption="Table 6. Trajectories of users with more than 1,095 days (w/ dates of admission of the original dataset)",
            align= rep('c', 101))%>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
        kableExtra::row_spec(which(df_tab5$dias_trat_imp>1095), bold= F, color= "white", background= "cornflowerblue")%>%
        kableExtra::row_spec(which(df_tab5$n>1), bold= F, color= "darkblue")%>%
   kableExtra::add_footnote("Note= Blue background, more than 1095 days; Blue letters, more than one case for the same user; 1 to 18= Dates of admission of the different entries of the different databases", notation = "none")%>%
    kableExtra::scroll_box(width = "100%", height = "375px")

Table 6. Trajectories of users with more than 1,095 days (w/ dates of admission of the original dataset)

hash_key	ano_bd	fech_ing	dias_trat_imp	fech_egres_imp	tipo_de_plan_2	senda	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	n
015d9910e2eeb2b8669fd85ef71d312e	2,016	2012-11-09	1,361	2016-08-01	PG-PAB	Si	2012-11-09	2012-11-09	2012-11-09	2012-11-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
017a37d0883098806b5b73e5d8228cc2	2,014	2014-07-01	149	2014-11-27	PG-PAI	Si	2008-04-07	2008-04-07	2013-03-06	2014-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
017a37d0883098806b5b73e5d8228cc2	2,013	2013-03-06	113	2013-06-27	PG-PAI	Si	2008-04-07	2008-04-07	2013-03-06	2014-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
017a37d0883098806b5b73e5d8228cc2	2,011	2008-04-07	1,212	2011-08-02	PG-PAI	Si	2008-04-07	2008-04-07	2013-03-06	2014-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
01fc0ac428f29dd630c96d4caf1af5f7	2,019	2015-08-04	1,288	2019-02-12	PG-PAI	Si	2015-08-04	2015-08-04	2015-08-04	2015-08-04	2015-08-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
02204673b85a0404b74c9ec4ea433604	2,011	2008-01-28	1,220	2011-06-01	PG-PAI	Si	2008-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
02274db2e0f8d4dd8e294206d58fa2ae	2,019	2019-07-23	16	2019-08-08	PG-PAB	Si	2010-05-07	2010-05-07	2012-01-31	2013-06-11	2013-06-11	2013-06-11	2015-11-02	2015-11-02	2017-09-04	2017-09-04	2019-07-23	NA	NA	NA	NA	NA	NA	NA	5
02274db2e0f8d4dd8e294206d58fa2ae	2,018	2017-09-04	389	2018-09-28	PG-PAB	Si	2010-05-07	2010-05-07	2012-01-31	2013-06-11	2013-06-11	2013-06-11	2015-11-02	2015-11-02	2017-09-04	2017-09-04	2019-07-23	NA	NA	NA	NA	NA	NA	NA	5
02274db2e0f8d4dd8e294206d58fa2ae	2,016	2015-11-02	98	2016-02-08	PG-PR	Si	2010-05-07	2010-05-07	2012-01-31	2013-06-11	2013-06-11	2013-06-11	2015-11-02	2015-11-02	2017-09-04	2017-09-04	2019-07-23	NA	NA	NA	NA	NA	NA	NA	5
02274db2e0f8d4dd8e294206d58fa2ae	2,015	2013-06-11	825	2015-09-14	PG-PAB	Si	2010-05-07	2010-05-07	2012-01-31	2013-06-11	2013-06-11	2013-06-11	2015-11-02	2015-11-02	2017-09-04	2017-09-04	2019-07-23	NA	NA	NA	NA	NA	NA	NA	5
02274db2e0f8d4dd8e294206d58fa2ae	2,013	2010-05-07	1,120	2013-05-31	PG-PAB	Si	2010-05-07	2010-05-07	2012-01-31	2013-06-11	2013-06-11	2013-06-11	2015-11-02	2015-11-02	2017-09-04	2017-09-04	2019-07-23	NA	NA	NA	NA	NA	NA	NA	5
024ba7b2002f0c535bdd2b9ec6f0c49f	2,016	2013-08-29	1,105	2016-09-07	PG-PAI	Si	2013-06-28	2013-08-29	2013-08-29	2013-08-29	2013-08-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
024ba7b2002f0c535bdd2b9ec6f0c49f	2,013	2013-06-28	62	2013-08-29	PG-PAB	Si	2013-06-28	2013-08-29	2013-08-29	2013-08-29	2013-08-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
02651f7297a2836e03229ee9b157ef4d	2,019	2016-02-23	1,162	2019-04-30	PG-PAB	Si	2016-02-23	2016-02-23	2016-02-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
02a1106aadb9ecdd12e6d282f26250ec	2,013	2010-03-25	1,100	2013-03-29	PG-PAI	Si	2010-03-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
02f7df4d04fbcc4f95ccc66df7b81b94	2,017	2012-03-12	1,907	2017-06-01	PG-PAI	Si	2012-03-12	2012-03-12	2012-03-12	2012-03-12	2012-03-12	2012-03-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
038f8ad1c7cecbb23880407c20cb1507	2,016	2012-08-08	1,272	2016-02-01	PG-PAB	Si	2012-08-08	2012-08-08	2012-08-08	2012-08-08	2012-08-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
039ef0c9264f76ae63996208bb8357d5	2,017	2013-08-09	1,385	2017-05-25	PG-PAB	Si	2013-08-09	2013-08-09	2013-08-09	2013-08-09	2013-08-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
03c1d8837023af989c24755f6e708f35	2,015	2012-01-26	1,467	2016-02-01	PG-PAI	Si	2012-01-26	2012-01-26	2012-01-26	2012-01-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
03e0c2c2d35bd5efa6ab1c7a343ec4ef	2,017	2014-03-14	1,204	2017-06-30	PG-PAI	Si	2014-03-14	2014-03-14	2014-03-14	2014-03-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
040947defe3600ca5f60599a277e63b7	2,010	2010-02-19	1,413	2014-01-02	PG-PR	No	2010-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
04ebe824b6bc1bbe6856674ad0aa09a2	2,013	2010-05-25	1,191	2013-08-28	PG-PAB	Si	2010-05-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
054d04cefbc8971c4f1aa2dc1e2a6bea	2,010	2010-01-11	2,181	2016-01-01	PG-PAB	No	2010-01-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
058b36a4a6c55eba51109c2f2b58aac2	2,018	2017-05-04	361	2018-04-30	PG-PAI	Si	2011-07-19	2011-07-19	2011-07-19	2011-07-19	2011-07-19	2017-05-04	2017-05-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
058b36a4a6c55eba51109c2f2b58aac2	2,015	2011-07-19	1,547	2015-10-13	PG-PAI	Si	2011-07-19	2011-07-19	2011-07-19	2011-07-19	2011-07-19	2017-05-04	2017-05-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
05acb20aa78337a121e5690b131bdbe0	2,017	2013-06-03	1,488	2017-06-30	PG-PAB	Si	2013-06-03	2013-06-03	2013-06-03	2013-06-03	2013-06-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0657bba86dd38ef8dfab5f2308bc74b4	2,019	2019-01-28	93	2019-05-01	PG-PAI	Si	2010-01-29	2016-03-03	2018-06-08	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0657bba86dd38ef8dfab5f2308bc74b4	2,018	2018-06-08	54	2018-08-01	PG-PAI	Si	2010-01-29	2016-03-03	2018-06-08	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0657bba86dd38ef8dfab5f2308bc74b4	2,016	2016-03-03	292	2016-12-20	PG-PAI	Si	2010-01-29	2016-03-03	2018-06-08	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0657bba86dd38ef8dfab5f2308bc74b4	2,010	2010-01-29	1,432	2013-12-31	PG-PAB	Si	2010-01-29	2016-03-03	2018-06-08	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
072a2148c26d799b7f3e063d24674bd8	2,016	2013-12-05	1,121	2016-12-30	PG-PAI	Si	2013-12-05	2013-12-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
072f2b39eb904ebeff255779a5b309dc	2,017	2013-02-21	1,500	2017-04-01	PG-PAI	Si	2013-02-21	2013-02-21	2013-02-21	2013-02-21	2013-02-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
075c14f4e1a16f0383ea1be0ba537192	2,013	2010-01-06	1,149	2013-02-28	PG-PAI	Si	2010-01-06	2010-01-06	2010-01-06	2010-01-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
09674ad3c37ed17185e9ac26854787f1	2,016	2012-04-02	1,491	2016-05-02	PG-PAI	Si	2012-04-02	2012-04-02	2014-02-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
09e4b7da4aad09943eb8632dfeff2a47	2,019	2019-01-17	NA	NA	PG-PAI	Si	2014-01-08	2014-01-08	2014-01-08	2014-01-08	2014-01-08	2019-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
09e4b7da4aad09943eb8632dfeff2a47	2,018	2014-01-08	1,605	2018-06-01	PG-PAB	Si	2014-01-08	2014-01-08	2014-01-08	2014-01-08	2014-01-08	2019-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
0a1e59c942c51d2f9df1abce287b94c1	2,017	2013-07-19	1,377	2017-04-26	PG-PAB	Si	2013-07-19	2013-07-19	2013-07-19	2013-07-19	2013-07-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0a45b56212bd439c7293a2544ac87239	2,019	2015-12-15	1,144	2019-02-01	PG-PAI	Si	2015-12-15	2015-12-15	2015-12-15	2015-12-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0ad77c9a93e5bab0bb901997e2b92c0e	2,019	2018-06-05	224	2019-01-15	PG-PAI	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,018	2017-08-17	288	2018-06-01	M-PR	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,017	2017-04-25	114	2017-08-17	M-PAI	No	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,016	2015-07-20	226	2016-03-02	M-PR	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,015	2012-04-09	1,197	2015-07-20	PG-PAB	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,012	2012-01-24	69	2012-04-02	M-PR	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0ad77c9a93e5bab0bb901997e2b92c0e	2,011	2011-02-02	172	2011-07-24	M-PR	Si	2011-02-02	2012-01-24	2012-04-09	2012-04-09	2012-04-09	2012-08-07	2012-11-06	2012-11-06	2015-07-20	2015-07-20	2017-04-25	2017-08-17	2017-08-17	2018-06-05	2018-06-05	NA	NA	NA	7
0afc3377c4fd3e96b6d7ed2999201c83	2,017	2012-08-01	1,727	2017-04-24	PG-PAB	Si	2012-08-01	2012-08-01	2012-08-01	2012-08-01	2012-08-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0b828942dc2019c564d92227ed3e1342	2,016	2012-11-13	1,316	2016-06-21	PG-PAB	Si	2007-01-26	2007-01-26	2012-11-13	2012-11-13	2012-11-13	2012-11-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
0b828942dc2019c564d92227ed3e1342	2,011	2007-01-26	1,525	2011-03-31	PG-PAB	Si	2007-01-26	2007-01-26	2012-11-13	2012-11-13	2012-11-13	2012-11-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
0b9f0e5eb945ec92e048c20201ea5bf5	2,016	2011-08-03	1,636	2016-01-25	M-PAI	Si	2011-08-03	2011-08-03	2011-08-03	2011-08-03	2011-08-03	2011-08-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0bc5ab4f63dd00e3de631bc619f9392d	2,011	2007-06-22	1,831	2012-06-26	PG-PAB	Si	2007-06-22	2007-06-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0c73f2e2540aac0f3ae7c2a56944f47b	2,012	2012-08-01	131	2012-12-10	PG-PAI	Si	2007-01-15	2010-12-01	2010-12-01	2011-09-01	2011-09-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0c73f2e2540aac0f3ae7c2a56944f47b	2,012	2011-09-01	335	2012-08-01	PG-PAI	Si	2007-01-15	2010-12-01	2010-12-01	2011-09-01	2011-09-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0c73f2e2540aac0f3ae7c2a56944f47b	2,011	2010-12-01	223	2011-07-12	PG-PAI	Si	2007-01-15	2010-12-01	2010-12-01	2011-09-01	2011-09-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0c73f2e2540aac0f3ae7c2a56944f47b	2,010	2007-01-15	1,390	2010-11-05	PG-PAI	Si	2007-01-15	2010-12-01	2010-12-01	2011-09-01	2011-09-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
0cb0533e4659ae994e80f444d9bdcb52	2,013	2009-03-09	1,507	2013-04-24	PG-PR	No	2009-03-09	2009-03-09	2009-03-09	2009-03-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0e2c380f592446097765a263a24b9783	2,013	2010-07-21	1,107	2013-08-01	M-PAI	Si	2010-07-21	2010-07-21	2010-07-27	2010-07-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
0ea75bc13836a995274e92e76ea22d00	2,018	2015-01-09	1,326	2018-08-27	PG-PAI	Si	2015-01-09	2015-01-09	2015-01-09	2015-01-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
103cb669500e470c6e2dbafeffa59fa9	2,017	2013-10-01	1,304	2017-04-27	PG-PR	No	2012-07-26	2012-07-26	2013-10-01	2013-10-01	2013-10-01	2013-10-01	2013-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
103cb669500e470c6e2dbafeffa59fa9	2,013	2012-07-26	400	2013-08-30	PG-PAI	Si	2012-07-26	2012-07-26	2013-10-01	2013-10-01	2013-10-01	2013-10-01	2013-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1078df9052a9628c5a51ede07400367e	2,011	2011-11-02	1,521	2016-01-01	PG-PAI	Si	2011-11-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
108dfce222c75c6882a5b1a90a4c4f45	2,015	2012-03-23	1,279	2015-09-23	PG-PAI	Si	2012-03-23	2012-03-23	2012-03-23	2012-03-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
10d3f1e7be8be6da415dd81aa5f934e0	2,015	2012-05-11	1,145	2015-06-30	PG-PAB	Si	2012-05-11	2012-05-11	2012-05-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
10e030dc2b88c3eca4f51bedcb5d3c51	2,013	2010-05-04	1,350	2014-01-13	PG-PAI	No	2010-05-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1215e2470006276c6fa7150f595124fe	2,019	2015-02-11	1,571	2019-06-01	PG-PAI	Si	2015-02-11	2015-02-11	2015-02-11	2015-02-11	2015-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1387b1c6657ef708d17e99a9d55ec4bc	2,016	2012-04-04	1,706	2016-12-05	PG-PAB	Si	2012-04-04	2012-04-04	2012-04-04	2012-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
13a1e8e063f4109ad918be6ee4a09a1f	2,013	2012-11-29	1,128	2016-01-01	M-PR	Si	2012-11-29	2012-11-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
13b74ab595c01d6dc9682e79ae419f27	2,016	2012-04-27	1,588	2016-09-01	PG-PAB	Si	2012-04-27	2012-04-27	2012-04-27	2012-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
149f3b8f33446ef8e963b3607ad32f17	2,014	2011-02-17	1,099	2014-02-20	PG-PAB	Si	2011-02-17	2011-02-17	2011-02-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
14d5828aa7f49e48d11b4bb1112241bd	2,018	2018-11-22	15	2018-12-07	M-PR	Si	2014-05-29	2015-04-02	2015-04-02	2015-04-02	2015-04-02	2018-04-10	2018-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
14d5828aa7f49e48d11b4bb1112241bd	2,018	2018-04-10	87	2018-07-06	M-PR	Si	2014-05-29	2015-04-02	2015-04-02	2015-04-02	2015-04-02	2018-04-10	2018-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
14d5828aa7f49e48d11b4bb1112241bd	2,018	2015-04-02	1,103	2018-04-09	M-PAI	Si	2014-05-29	2015-04-02	2015-04-02	2015-04-02	2015-04-02	2018-04-10	2018-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
14d5828aa7f49e48d11b4bb1112241bd	2,014	2014-05-29	306	2015-03-31	PG-PAB	No	2014-05-29	2015-04-02	2015-04-02	2015-04-02	2015-04-02	2018-04-10	2018-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
14ee2c208822b8b5010668f2b70e9180	2,013	2010-08-25	1,206	2013-12-13	PG-PAI	Si	2010-08-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
152d2c80522a1a9ac0ecdae19bc46e8a	2,015	2012-09-11	1,247	2016-02-10	PG-PAI	Si	2012-09-11	2012-09-11	2012-09-11	2012-09-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
153df8fc67cba33c93f1daba2adafd86	2,011	2011-10-17	1,597	2016-03-01	PG-PAI	Si	2011-10-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
15776ab2c2121d375b5756907147b09f	2,016	2013-11-05	1,121	2016-11-30	M-PAI	Si	2013-11-05	2013-11-05	2013-11-05	2013-11-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
15781447163cdb85e1f604c6838bec24	2,016	2013-07-30	1,157	2016-09-29	PG-PAB	Si	2013-07-30	2013-07-30	2013-07-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
15ba5be6df60278cb42083151f2893f8	2,017	2014-03-24	1,131	2017-04-28	PG-PAB	Si	2014-03-24	2014-03-24	2014-03-24	2014-03-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
160e5f96aff567cce9e90f5618a85e6d	2,019	2019-06-04	NA	NA	PG-PR	Si	2013-02-15	2013-02-15	2013-02-15	2018-12-03	2019-06-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
160e5f96aff567cce9e90f5618a85e6d	2,019	2018-12-03	182	2019-06-03	PG-PAI	Si	2013-02-15	2013-02-15	2013-02-15	2018-12-03	2019-06-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
160e5f96aff567cce9e90f5618a85e6d	2,015	2013-02-15	1,116	2016-03-07	PG-PAB	Si	2013-02-15	2013-02-15	2013-02-15	2018-12-03	2019-06-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
16260ae96a03542a3ca0a589f4c13693	2,016	2011-11-03	1,691	2016-06-20	PG-PAI	Si	2011-11-03	2011-11-03	2011-11-03	2011-11-03	2011-11-03	2011-11-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1712e95471064610044ed3a94c562a4e	2,017	2012-08-13	1,694	2017-04-03	PG-PAI	Si	2012-03-02	2012-08-13	2012-08-13	2012-08-13	2012-08-13	2012-08-13	2012-08-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1712e95471064610044ed3a94c562a4e	2,012	2012-03-02	41	2012-04-12	PG-PR	Si	2012-03-02	2012-08-13	2012-08-13	2012-08-13	2012-08-13	2012-08-13	2012-08-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
186739a24cf8b5e00cb24eb5ccff9ae0	2,018	2017-06-12	381	2018-06-28	PG-PAI	Si	2007-10-29	2007-10-29	2007-10-29	2010-08-10	2017-06-12	2017-06-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
186739a24cf8b5e00cb24eb5ccff9ae0	2,012	2007-10-29	1,680	2012-06-04	PG-PAI	Si	2007-10-29	2007-10-29	2007-10-29	2010-08-10	2017-06-12	2017-06-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
191ee8b68609a819184a28164e055d14	2,018	2015-10-20	1,102	2018-10-26	PG-PAI	Si	2015-10-20	2015-10-20	2015-10-20	2015-10-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1925156d831e4abd125a42c1b9d4767e	2,016	2012-11-13	1,449	2016-11-01	PG-PAB	Si	2012-11-13	2012-11-13	2012-11-13	2012-11-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1a87fff38e00f68f33deb06f0ba220d4	2,019	2019-01-23	244	2019-09-24	PG-PR	Si	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2016-12-19	2016-12-19	2017-01-19	2019-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
1a87fff38e00f68f33deb06f0ba220d4	2,017	2017-01-19	74	2017-04-03	PG-PAB	Si	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2016-12-19	2016-12-19	2017-01-19	2019-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
1a87fff38e00f68f33deb06f0ba220d4	2,017	2016-12-19	18	2017-01-06	PG-PR	Si	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2016-12-19	2016-12-19	2017-01-19	2019-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
1a87fff38e00f68f33deb06f0ba220d4	2,014	2011-01-04	1,350	2014-09-15	PG-PAB	Si	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2011-01-04	2016-12-19	2016-12-19	2017-01-19	2019-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
1bb67a4475eed2c9a4157b503d6ccfb9	2,016	2015-02-05	467	2016-05-17	M-PAI	Si	2011-07-13	2011-07-13	2011-07-13	2011-07-13	2015-02-05	2015-02-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1bb67a4475eed2c9a4157b503d6ccfb9	2,015	2011-07-13	1,301	2015-02-03	PG-PAB	Si	2011-07-13	2011-07-13	2011-07-13	2011-07-13	2015-02-05	2015-02-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1bb7fc29184c18dea31ef2800c355c63	2,013	2013-08-08	1,117	2016-08-29	PG-PAI	Si	2013-08-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1be1f564a6f58e23587e16b7cff9d631	2,019	2014-04-17	1,943	2019-08-12	PG-PAB	Si	2014-04-17	2014-04-17	2014-04-17	2014-04-17	2014-04-17	2014-04-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1beda3fa83cbefb9e6bcdf1d1e8bd19a	2,015	2012-02-08	1,330	2015-09-30	PG-PR	No	2012-02-08	2012-02-08	2012-02-08	2012-02-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1d33ed87a10a8a962150745412be6c4b	2,018	2015-04-29	1,329	2018-12-18	PG-PAI	Si	2015-04-29	2015-04-29	2015-04-29	2015-04-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
1d4ed49e05a62a61b746d205b6e88599	2,015	2011-12-02	1,302	2015-06-26	PG-PAI	Si	2009-04-06	2009-04-06	2011-12-02	2011-12-02	2011-12-02	2011-12-02	2011-12-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1d4ed49e05a62a61b746d205b6e88599	2,011	2009-04-06	697	2011-03-04	PG-PAI	Si	2009-04-06	2009-04-06	2011-12-02	2011-12-02	2011-12-02	2011-12-02	2011-12-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1f40dea34e96b14af9e4fac61e75d599	2,014	2010-08-23	1,437	2014-07-30	PG-PAB	Si	2008-12-22	2010-08-23	2010-08-23	2010-08-23	2010-08-23	2010-08-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1f40dea34e96b14af9e4fac61e75d599	2,010	2008-12-22	434	2010-03-01	PG-PAB	Si	2008-12-22	2010-08-23	2010-08-23	2010-08-23	2010-08-23	2010-08-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
1fb84f9991a06904478a5b1e418f954d	2,017	2012-09-04	1,619	2017-02-09	PG-PAB	Si	2012-09-04	2012-09-04	2012-09-04	2012-09-04	2012-09-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2047d4d78a602901f5f5d9e673c5f726	2,018	2014-11-12	1,267	2018-05-02	M-PAI	Si	2014-11-12	2014-11-12	2014-11-12	2014-11-12	2014-11-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
20e8c0714e068379c48271f4551eb8fd	2,010	2008-01-01	1,096	2011-01-01	PG-PAI	Si	2008-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2120bddad59597455413e3ea7e06ad8a	2,017	2013-07-11	1,300	2017-01-31	PG-PAB	Si	2013-07-11	2013-07-11	2013-07-11	2013-07-11	2013-07-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
222317e2de99eee38cd430ba05838ac2	2,011	2008-05-20	1,322	2012-01-02	PG-PAB	Si	2008-05-20	2008-05-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
22ad1c09805a1de614fe7be8b1d064b9	2,012	2012-01-11	294	2012-10-31	PG-PAB	Si	2008-05-16	2008-05-16	2012-01-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
22ad1c09805a1de614fe7be8b1d064b9	2,010	2008-05-16	1,172	2011-08-01	PG-PAB	Si	2008-05-16	2008-05-16	2012-01-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
22db8ef880053033fa01ba6ae6f48646	2,017	2016-05-19	530	2017-10-31	M-PR	Si	2012-11-09	2012-11-09	2014-01-07	2015-01-16	2016-05-19	2016-05-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
22db8ef880053033fa01ba6ae6f48646	2,016	2012-11-09	1,286	2016-05-18	PG-PAI	Si	2012-11-09	2012-11-09	2014-01-07	2015-01-16	2016-05-19	2016-05-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
230c14d46645daed785aaefa340d3b9e	2,011	2008-03-27	1,341	2011-11-28	PG-PAB	Si	2008-03-27	2008-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2335939adb7ffca28535a40beb33fcf5	2,010	2010-01-11	2,181	2016-01-01	PG-PAB	No	2010-01-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
24316a8aac65ae80ba4d0ec913325ce4	2,014	2013-05-23	410	2014-07-07	PG-PAB	Si	2009-04-13	2009-04-13	2009-04-13	2013-05-23	2013-05-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
24316a8aac65ae80ba4d0ec913325ce4	2,012	2009-04-13	1,205	2012-07-31	M-PAI	Si	2009-04-13	2009-04-13	2009-04-13	2013-05-23	2013-05-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
2611763ad15b4be8c85f77cc7d4dd3b4	2,016	2012-11-26	1,155	2016-01-25	M-PAI	Si	2012-11-26	2012-11-26	2012-11-26	2012-11-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
26315cd3b3c721e924c8ca820c7e4cc3	2,018	2013-02-20	2,049	2018-10-01	PG-PAB	Si	2013-02-20	2013-02-20	2013-02-20	2013-02-20	2013-02-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2716023b53e879cefaed6d0cd0e50ae1	2,012	2012-06-29	1,281	2016-01-01	PG-PAB	Si	2008-09-08	2008-09-08	2012-06-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
2716023b53e879cefaed6d0cd0e50ae1	2,011	2008-09-08	870	2011-01-26	PG-PAB	Si	2008-09-08	2008-09-08	2012-06-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
275c43afb815a86e09bb095691ca1d5c	2,012	2012-09-28	1,190	2016-01-01	PG-PAB	Si	2012-09-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
27d73484961565486dad97c2190aa364	2,019	2014-09-29	1,649	2019-04-05	PG-PAI	No	2013-10-07	2014-09-29	2014-09-29	2014-09-29	2014-09-29	2014-09-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
27d73484961565486dad97c2190aa364	2,013	2013-10-07	144	2014-02-28	PG-PAI	No	2013-10-07	2014-09-29	2014-09-29	2014-09-29	2014-09-29	2014-09-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
27fc05f388663ecf633533f5c272d098	2,019	2018-07-13	265	2019-04-04	PG-PR	Si	2013-04-04	2013-04-04	2013-04-04	2013-04-04	2018-07-13	2018-07-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
27fc05f388663ecf633533f5c272d098	2,016	2013-04-04	1,274	2016-09-29	PG-PAI	Si	2013-04-04	2013-04-04	2013-04-04	2013-04-04	2018-07-13	2018-07-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
27fd883b9bbad7d00bb37a84839f9d54	2,017	2016-08-19	426	2017-10-19	M-PAI	Si	2009-01-07	2009-01-07	2009-01-07	2012-06-15	2012-06-15	2016-08-19	2016-08-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
27fd883b9bbad7d00bb37a84839f9d54	2,013	2012-06-15	252	2013-02-22	PG-PAB	Si	2009-01-07	2009-01-07	2009-01-07	2012-06-15	2012-06-15	2016-08-19	2016-08-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
27fd883b9bbad7d00bb37a84839f9d54	2,012	2009-01-07	1,244	2012-06-04	PG-PAB	Si	2009-01-07	2009-01-07	2009-01-07	2012-06-15	2012-06-15	2016-08-19	2016-08-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
28178f953d3266e291cd1bfb787c472a	2,019	2015-11-09	1,180	2019-02-01	PG-PAB	Si	2015-11-09	2015-11-09	2015-11-09	2015-11-09	2015-11-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2947875087b8a6af159cb6bb3bc64cb0	2,013	2010-08-03	1,331	2014-03-26	PG-PAB	Si	2010-08-03	2010-08-03	2011-07-25	2011-07-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
29cc2d5353ce6d34bb04aa2ad24bd7bb	2,015	2012-01-06	1,363	2015-09-30	PG-PAI	Si	2012-01-06	2012-01-06	2012-01-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2a67ce97dd549cb2f418f50a6c04a4b3	2,018	2015-03-13	1,173	2018-05-29	PG-PAB	Si	2015-03-13	2015-03-13	2015-03-13	2015-03-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2ab74f287c6a74f2fc35c5a19112afad	2,015	2011-11-08	1,367	2015-08-06	PG-PAI	Si	2011-11-08	2011-11-08	2011-11-08	2011-11-08	2011-11-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2ad859ed38d159cfaf5ac6383e806bba	2,014	2009-11-23	1,674	2014-06-24	PG-PAB	Si	2009-11-23	2009-11-23	2009-11-23	2009-11-23	2009-11-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2b79b7e34d950a328854a13e10d9e2e7	2,019	2018-05-10	NA	NA	PG-PAI	Si	2011-08-17	2011-08-17	2011-08-17	2011-08-17	2011-08-17	2018-05-10	2018-05-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
2b79b7e34d950a328854a13e10d9e2e7	2,015	2011-08-17	1,444	2015-07-31	PG-PAI	Si	2011-08-17	2011-08-17	2011-08-17	2011-08-17	2011-08-17	2018-05-10	2018-05-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
2bb43da394f7bd25bc667c645abaee41	2,019	2018-01-22	497	2019-06-03	PG-PAB	Si	2013-03-25	2013-03-25	2013-03-25	2013-03-25	2017-01-18	2018-01-22	2018-01-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
2bb43da394f7bd25bc667c645abaee41	2,017	2017-01-18	210	2017-08-16	PG-PR	Si	2013-03-25	2013-03-25	2013-03-25	2013-03-25	2017-01-18	2018-01-22	2018-01-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
2bb43da394f7bd25bc667c645abaee41	2,016	2013-03-25	1,260	2016-09-05	PG-PAB	Si	2013-03-25	2013-03-25	2013-03-25	2013-03-25	2017-01-18	2018-01-22	2018-01-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
2c0421ebf4fc7ddb2dea6e9bd2e445e0	2,015	2010-10-07	1,659	2015-04-23	PG-PAB	Si	2010-10-07	2010-10-07	2010-10-07	2010-10-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2c111ea0224c79c8eb827bb9b1dbcc87	2,016	2013-08-20	1,130	2016-09-23	PG-PAB	Si	2013-08-20	2013-08-20	2013-08-20	2013-08-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2e00b66c9e39dc00ef8faafe738f4276	2,012	2007-11-07	1,528	2012-01-13	M-PAI	Si	2007-11-07	2007-11-07	2007-11-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2e7f154c59d34e5b7a4488d0d924e532	2,017	2013-06-04	1,457	2017-05-31	PG-PAI	Si	2013-06-04	2013-06-04	2013-06-04	2013-06-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2ec75605e7f59bb79adcdaf8ffb70c47	2,017	2012-10-05	1,666	2017-04-28	PG-PAB	No	2012-10-05	2012-10-05	2012-10-05	2012-10-05	2012-10-05	2012-10-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2f00a2870e5adbd94204b9fdf53d5b3c	2,019	2016-03-16	1,111	2019-04-01	PG-PAB	No	2016-03-16	2016-03-16	2016-03-16	2016-03-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
2f0b0887a193bdc2b43f0503e05d352c	2,010	2008-01-17	1,232	2011-06-02	PG-PAB	Si	2008-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3066252db3f448324464d3d8fbfb098f	2,013	2008-05-07	1,944	2013-09-02	PG-PAI	Si	2008-05-07	2008-05-07	2008-05-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
310a5c172a71f11f6b4bf999822a9845	2,010	2009-09-16	2,298	2016-01-01	PG-PAB	No	2009-09-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
31547b8f0febc81debb90cde0a2acc07	2,013	2010-02-22	1,493	2014-03-26	PG-PAB	Si	2010-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
317c7f3517835c583ff527ab1066a8c2	2,017	2014-10-01	1,125	2017-10-30	PG-PAI	Si	2012-05-16	2012-05-16	2012-05-16	2014-05-15	2014-10-01	2014-10-01	2014-10-01	2014-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
317c7f3517835c583ff527ab1066a8c2	2,014	2014-05-15	139	2014-10-01	PG-PR	Si	2012-05-16	2012-05-16	2012-05-16	2014-05-15	2014-10-01	2014-10-01	2014-10-01	2014-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
317c7f3517835c583ff527ab1066a8c2	2,014	2012-05-16	729	2014-05-15	PG-PAI	Si	2012-05-16	2012-05-16	2012-05-16	2014-05-15	2014-10-01	2014-10-01	2014-10-01	2014-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
3203586a706bd6d37d71a25c38c97b82	2,019	2019-02-09	205	2019-09-02	PG-PAI	No	2014-07-25	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2019-02-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
3203586a706bd6d37d71a25c38c97b82	2,019	2014-09-16	1,606	2019-02-08	PG-PAB	Si	2014-07-25	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2019-02-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
3203586a706bd6d37d71a25c38c97b82	2,014	2014-07-25	7	2014-08-01	M-PR	Si	2014-07-25	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2014-09-16	2019-02-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
323ca49669a017302ff6162ae170c9b8	2,018	2015-04-01	1,113	2018-04-18	PG-PAI	Si	2010-08-12	2010-08-12	2013-06-21	2013-06-21	2015-04-01	2015-04-01	2015-04-01	2015-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
323ca49669a017302ff6162ae170c9b8	2,014	2013-06-21	434	2014-08-29	PG-PAI	Si	2010-08-12	2010-08-12	2013-06-21	2013-06-21	2015-04-01	2015-04-01	2015-04-01	2015-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
323ca49669a017302ff6162ae170c9b8	2,011	2010-08-12	247	2011-04-16	PG-PR	Si	2010-08-12	2010-08-12	2013-06-21	2013-06-21	2015-04-01	2015-04-01	2015-04-01	2015-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
32b45d0fcb26f6c5f5d7cec7296d4a40	2,012	2009-01-05	1,207	2012-04-26	PG-PAI	Si	2009-01-05	2009-01-05	2009-01-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
32e89ee80a4a069444f4d31cb023623e	2,017	2012-03-19	1,787	2017-02-08	PG-PAB	Si	2012-03-19	2012-03-19	2012-03-19	2012-03-19	2012-03-19	2012-03-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
33033b55eb95fdddcf44fadbfe182c2c	2,017	2015-07-14	652	2017-04-26	PG-PAB	Si	2008-07-24	2008-07-24	2008-07-24	2015-07-14	2015-07-14	2015-07-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
33033b55eb95fdddcf44fadbfe182c2c	2,012	2008-07-24	1,590	2012-11-30	PG-PAI	Si	2008-07-24	2008-07-24	2008-07-24	2015-07-14	2015-07-14	2015-07-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
33369c8adaec11d1c84dbbce1e182a5b	2,016	2013-04-03	1,216	2016-08-01	PG-PAB	Si	2013-04-03	2013-04-03	2013-04-03	2013-04-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
33b3547d78fceb966b14ea86748ee7fd	2,015	2012-03-01	1,351	2015-11-12	PG-PAI	Si	2012-03-01	2012-03-01	2012-03-01	2012-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
34c172613184a60825e6e2537a940d4b	2,019	2016-03-24	1,286	2019-10-01	PG-PAI	Si	2016-03-07	2016-03-24	2016-03-24	2016-03-24	2016-03-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
34c172613184a60825e6e2537a940d4b	2,016	2016-03-07	16	2016-03-23	PG-PAB	Si	2016-03-07	2016-03-24	2016-03-24	2016-03-24	2016-03-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
3537fa5ae5b609dc798a4eebcd1479ed	2,011	2011-09-21	1,563	2016-01-01	PG-PAI	Si	2011-09-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
35710d71e2ad69cb2b52af7ae9b1162d	2,011	2011-05-18	1,689	2016-01-01	PG-PAB	Si	2011-05-02	2011-05-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
35710d71e2ad69cb2b52af7ae9b1162d	2,011	2011-05-02	16	2011-05-18	PG-PAB	Si	2011-05-02	2011-05-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
35927ea00cb02a0ee611eae1c028b114	2,018	2015-01-02	1,273	2018-06-28	PG-PAI	Si	2008-11-11	2010-08-03	2010-08-03	2010-08-03	2014-05-09	2015-01-02	2015-01-02	2015-01-02	2015-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
35927ea00cb02a0ee611eae1c028b114	2,014	2014-05-09	238	2015-01-02	PG-PAB	Si	2008-11-11	2010-08-03	2010-08-03	2010-08-03	2014-05-09	2015-01-02	2015-01-02	2015-01-02	2015-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
35927ea00cb02a0ee611eae1c028b114	2,012	2010-08-03	668	2012-06-01	PG-PAI	Si	2008-11-11	2010-08-03	2010-08-03	2010-08-03	2014-05-09	2015-01-02	2015-01-02	2015-01-02	2015-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
35927ea00cb02a0ee611eae1c028b114	2,010	2008-11-11	504	2010-03-30	PG-PAB	Si	2008-11-11	2010-08-03	2010-08-03	2010-08-03	2014-05-09	2015-01-02	2015-01-02	2015-01-02	2015-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
3606c9407dd16115387addbb8e7406ef	2,010	2008-01-01	1,096	2011-01-01	PG-PAI	Si	2008-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
36c5d2f4b710e2947b85c216b17575a2	2,016	2012-12-20	1,139	2016-02-02	PG-PAI	Si	2012-12-20	2012-12-20	2012-12-20	2012-12-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
36fb7a79ff9da0811f00a2da14fc35dc	2,013	2010-02-26	1,153	2013-04-24	PG-PAB	Si	2010-02-26	2010-02-26	2010-02-26	2010-02-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
371a6bf3d549354ba662c9619b902f8c	2,018	2015-04-14	1,147	2018-06-04	PG-PAI	Si	2013-12-19	2015-04-14	2015-04-14	2015-04-14	2015-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
371a6bf3d549354ba662c9619b902f8c	2,014	2013-12-19	46	2014-02-03	PG-PAI	No	2013-12-19	2015-04-14	2015-04-14	2015-04-14	2015-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
376f223fedaecb42b971654a1112c158	2,016	2016-05-17	197	2016-11-30	PG-PAB	Si	2009-02-02	2009-02-02	2011-02-01	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2016-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
376f223fedaecb42b971654a1112c158	2,015	2011-09-14	1,496	2015-10-19	PG-PAB	Si	2009-02-02	2009-02-02	2011-02-01	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2016-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
376f223fedaecb42b971654a1112c158	2,011	2011-02-01	58	2011-03-31	PG-PAB	Si	2009-02-02	2009-02-02	2011-02-01	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2016-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
376f223fedaecb42b971654a1112c158	2,011	2009-02-02	728	2011-01-31	PG-PAI	Si	2009-02-02	2009-02-02	2011-02-01	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2011-09-14	2016-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
37be805609ec32b3099608db4d85e3bf	2,015	2011-05-06	1,475	2015-05-20	PG-PAI	Si	2011-05-06	2011-05-06	2011-05-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
384dbb1b3a156ad2029a782d8d0e4e87	2,014	2014-04-25	5	2014-04-30	PG-PAI	Si	2007-11-15	2007-11-15	2011-08-09	2014-04-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
384dbb1b3a156ad2029a782d8d0e4e87	2,011	2011-08-09	113	2011-11-30	PG-PAI	Si	2007-11-15	2007-11-15	2011-08-09	2014-04-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
384dbb1b3a156ad2029a782d8d0e4e87	2,011	2007-11-15	1,275	2011-05-13	PG-PAI	Si	2007-11-15	2007-11-15	2011-08-09	2014-04-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
38923ceebf3af50be8fc8945af04fad5	2,017	2017-07-06	147	2017-11-30	PG-PAB	Si	2008-07-01	2008-07-01	2008-07-01	2017-07-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
38923ceebf3af50be8fc8945af04fad5	2,012	2008-07-01	1,359	2012-03-21	PG-PAB	Si	2008-07-01	2008-07-01	2008-07-01	2017-07-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
38cf65271eb55acb199ad002e0aa5760	2,017	2014-03-03	1,103	2017-03-10	PG-PAI	Si	2014-03-03	2014-03-03	2014-03-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
397fdc48a5b8f4f129695e997159c9da	2,017	2012-08-31	1,684	2017-04-11	PG-PAB	Si	2012-08-31	2012-08-31	2012-08-31	2012-08-31	2012-08-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3a3bc83cd748f7e367330bc3c2715e0d	2,017	2013-11-22	1,470	2017-12-01	PG-PAB	Si	2013-05-02	2013-11-22	2013-11-22	2013-11-22	2013-11-22	2013-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
3a3bc83cd748f7e367330bc3c2715e0d	2,013	2013-05-02	117	2013-08-27	PG-PAB	Si	2013-05-02	2013-11-22	2013-11-22	2013-11-22	2013-11-22	2013-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
3a4e78f03d90b7ffcd9e6a8b409137cc	2,012	2012-03-02	213	2012-10-01	PG-PAI	Si	2008-03-03	2008-03-03	2008-03-03	2012-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
3a4e78f03d90b7ffcd9e6a8b409137cc	2,012	2008-03-03	1,429	2012-01-31	PG-PAI	Si	2008-03-03	2008-03-03	2008-03-03	2012-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
3ad8b567629869b60b5dd6f23752e13c	2,018	2014-10-10	1,267	2018-03-30	PG-PAB	Si	2014-10-10	2014-10-10	2014-10-10	2014-10-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3b5e6434ac7fbfe66f02a8b7dc8f4025	2,018	2015-01-23	1,363	2018-10-17	PG-PAB	Si	2015-01-23	2015-01-23	2015-01-23	2015-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3b917d516570c090e62dc6f8297365d4	2,011	2008-12-01	1,185	2012-02-29	PG-PAI	Si	2008-12-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3d4e5d2ed59f2914987f43230a35463d	2,019	2019-02-14	NA	NA	PG-PAI	Si	2010-09-29	2010-09-29	2012-12-06	2012-12-06	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2019-02-14	NA	NA	NA	NA	NA	NA	NA	NA	4
3d4e5d2ed59f2914987f43230a35463d	2,017	2013-07-05	1,291	2017-01-16	PG-PAB	Si	2010-09-29	2010-09-29	2012-12-06	2012-12-06	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2019-02-14	NA	NA	NA	NA	NA	NA	NA	NA	4
3d4e5d2ed59f2914987f43230a35463d	2,013	2012-12-06	42	2013-01-17	PG-PAI	Si	2010-09-29	2010-09-29	2012-12-06	2012-12-06	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2019-02-14	NA	NA	NA	NA	NA	NA	NA	NA	4
3d4e5d2ed59f2914987f43230a35463d	2,011	2010-09-29	288	2011-07-14	PG-PAI	Si	2010-09-29	2010-09-29	2012-12-06	2012-12-06	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2013-07-05	2019-02-14	NA	NA	NA	NA	NA	NA	NA	NA	4
3d78ef8ebae2fe9cab953c8edb25ce1c	2,016	2013-04-01	1,115	2016-04-20	PG-PAI	Si	2013-04-01	2013-04-01	2013-04-01	2013-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3dca8e30ae9ebc5b4e434172a5beffad	2,017	2013-03-14	1,454	2017-03-07	PG-PAI	Si	2013-03-14	2013-03-14	2013-03-14	2013-03-14	2013-03-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
3f05d7fb8aade5aacdf6eb9ec225c302	2,017	2013-05-16	1,456	2017-05-11	PG-PAB	Si	2013-05-16	2013-05-16	2013-05-16	2013-05-16	2013-05-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4093676ab2f13c7049f06e1c8c526ecc	2,017	2014-09-17	1,140	2017-10-31	PG-PAB	Si	2014-09-17	2014-09-17	2014-09-17	2014-09-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
40fe5945561a7171c4e30cd494d647aa	2,019	2019-09-02	NA	NA	M-PAI	Si	2008-08-08	2008-08-08	2008-08-08	2019-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
40fe5945561a7171c4e30cd494d647aa	2,012	2008-08-08	1,579	2012-12-04	M-PAI	Si	2008-08-08	2008-08-08	2008-08-08	2019-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
41d42bbd132c27613465a71bf6eeadac	2,019	2017-06-05	NA	NA	PG-PAI	Si	2009-04-07	2009-04-07	2017-06-05	2017-06-05	2017-06-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
41d42bbd132c27613465a71bf6eeadac	2,013	2009-04-07	1,746	2014-01-17	PG-PAI	Si	2009-04-07	2009-04-07	2017-06-05	2017-06-05	2017-06-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
41e1f60c7588fcb79bd5afec543c3292	2,015	2011-01-03	1,843	2016-01-20	PG-PAB	Si	2009-11-04	2011-01-03	2011-01-03	2011-01-03	2011-01-03	2011-01-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
41e1f60c7588fcb79bd5afec543c3292	2,010	2009-11-04	105	2010-02-17	PG-PAB	Si	2009-11-04	2011-01-03	2011-01-03	2011-01-03	2011-01-03	2011-01-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
41e57e2bb75a5b17d52d5201fdd330a4	2,018	2015-06-23	1,220	2018-10-25	PG-PAI	Si	2015-06-23	2015-06-23	2015-06-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4227671a950433611239bee49f2ef22a	2,012	2009-04-01	1,251	2012-09-03	PG-PAI	Si	2009-04-01	2009-04-01	2009-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
42295061f14c35e8efc818c0050c90a2	2,018	2015-01-16	1,217	2018-05-17	PG-PAI	Si	2012-04-17	2012-04-17	2012-04-17	2015-01-16	2015-01-16	2015-01-16	2015-01-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
42295061f14c35e8efc818c0050c90a2	2,014	2012-04-17	989	2015-01-01	PG-PAB	Si	2012-04-17	2012-04-17	2012-04-17	2015-01-16	2015-01-16	2015-01-16	2015-01-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
423db64c8cb41fbbade84a63873a942f	2,015	2012-08-01	1,185	2015-10-30	PG-PAB	Si	2012-08-01	2012-08-01	2012-08-01	2012-08-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4319d3bc4717880b1976a3966d5173a7	2,019	2016-02-11	1,324	2019-09-27	PG-PAI	Si	2015-05-05	2016-02-11	2016-02-11	2016-02-11	2016-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
4319d3bc4717880b1976a3966d5173a7	2,015	2015-05-05	205	2015-11-26	PG-PAI	Si	2015-05-05	2016-02-11	2016-02-11	2016-02-11	2016-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
43d92d259b10d86d4e7d2e6fab2b1ad7	2,011	2008-07-01	1,157	2011-09-01	PG-PAI	Si	2008-07-01	2008-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
441d69252ded781a68a3950b679de83b	2,017	2017-07-07	117	2017-11-01	PG-PAI	Si	2011-05-19	2011-07-06	2011-11-10	2016-05-24	2016-05-24	2017-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
441d69252ded781a68a3950b679de83b	2,017	2016-05-24	408	2017-07-06	PG-PAB	Si	2011-05-19	2011-07-06	2011-11-10	2016-05-24	2016-05-24	2017-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
441d69252ded781a68a3950b679de83b	2,011	2011-11-10	1,513	2016-01-01	PG-PAI	Si	2011-05-19	2011-07-06	2011-11-10	2016-05-24	2016-05-24	2017-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
441d69252ded781a68a3950b679de83b	2,011	2011-07-06	29	2011-08-04	M-PR	Si	2011-05-19	2011-07-06	2011-11-10	2016-05-24	2016-05-24	2017-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
441d69252ded781a68a3950b679de83b	2,011	2011-05-19	48	2011-07-06	PG-PAI	Si	2011-05-19	2011-07-06	2011-11-10	2016-05-24	2016-05-24	2017-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
44cd5fd30c63f3256c3228c57b8a23c9	2,011	2011-10-13	1,176	2015-01-01	PG-PR	Si	2009-04-27	2011-10-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
44cd5fd30c63f3256c3228c57b8a23c9	2,010	2009-04-27	568	2010-11-16	PG-PAI	Si	2009-04-27	2011-10-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
45319e099a19691feac39ac10720c9a1	2,018	2012-09-03	2,150	2018-07-24	PG-PAB	Si	2011-10-04	2011-10-04	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
45319e099a19691feac39ac10720c9a1	2,012	2011-10-04	223	2012-05-14	PG-PAB	Si	2011-10-04	2011-10-04	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
45def15825ba54a35098fa4036be49e0	2,015	2014-10-01	302	2015-07-30	PG-PAI	Si	2011-01-17	2011-01-17	2014-10-01	2014-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
45def15825ba54a35098fa4036be49e0	2,014	2011-01-17	1,211	2014-05-12	PG-PAI	Si	2011-01-17	2011-01-17	2014-10-01	2014-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
45f55ebcf958c51996921af3db8945f8	2,015	2012-06-06	1,185	2015-09-04	PG-PAB	Si	2012-06-06	2012-06-06	2012-06-06	2012-06-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
45f69bb96294915bd5e8df2eca64c4be	2,014	2011-07-26	1,291	2015-02-06	PG-PAB	Si	2011-07-26	2011-07-26	2011-07-26	2011-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
465803011b075705445caa0db36dbe80	2,017	2013-03-04	1,600	2017-07-21	PG-PAI	Si	2013-03-04	2013-03-04	2013-03-04	2013-03-04	2013-03-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
46b458a434e428d97c71cfd1f3bc7541	2,019	2015-11-13	1,274	2019-05-10	PG-PAI	Si	2015-06-04	2015-11-13	2015-11-13	2015-11-13	2015-11-13	2015-11-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
46b458a434e428d97c71cfd1f3bc7541	2,015	2015-06-04	89	2015-09-01	PG-PAB	Si	2015-06-04	2015-11-13	2015-11-13	2015-11-13	2015-11-13	2015-11-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
482ebc8cb796a220b1a918bb96536c78	2,017	2010-10-29	2,274	2017-01-19	PG-PAI	Si	2010-10-29	2010-10-29	2010-10-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
48cebc8d0fcded6e7b82cc15c7c65824	2,018	2014-06-03	1,581	2018-10-01	PG-PAB	Si	2010-09-28	2014-06-03	2014-06-03	2014-06-03	2014-06-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
48cebc8d0fcded6e7b82cc15c7c65824	2,010	2010-09-28	120	2011-01-26	PG-PAB	Si	2010-09-28	2014-06-03	2014-06-03	2014-06-03	2014-06-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
4984ea2ac1958b17009b644bd314764d	2,017	2012-05-15	1,836	2017-05-25	PG-PAB	Si	2012-05-15	2012-05-15	2012-05-15	2012-05-15	2012-05-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
49ebf4a823b2f993573ea9464e28b971	2,017	2014-08-05	1,119	2017-08-28	PG-PAI	Si	2014-08-05	2014-08-05	2014-08-05	2014-08-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4a087caf09198f9d2ecc72bfb23e16a3	2,018	2013-10-21	1,569	2018-02-06	PG-PAB	Si	2013-10-21	2013-10-21	2013-10-21	2013-10-21	2013-10-21	2013-10-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4a226b32578d5397bbfb7f6892b289a9	2,011	2007-02-02	1,792	2011-12-30	PG-PAB	Si	2007-02-02	2007-02-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4b5773e1c345a3b3e01eb60dfe8ef3cd	2,015	2011-08-02	1,392	2015-05-25	PG-PAI	Si	2011-08-02	2011-08-02	2011-08-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4beef1cc4d7448c0b7dc41f13696a66e	2,012	2010-02-11	1,198	2013-05-24	PG-PAB	Si	2010-02-11	2010-02-11	2010-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4bfc780382274a081cac4a53ff28329b	2,018	2015-01-21	1,226	2018-05-31	PG-PAI	Si	2009-09-28	2009-09-28	2015-01-21	2015-01-21	2015-01-21	2015-01-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
4bfc780382274a081cac4a53ff28329b	2,011	2009-09-28	732	2011-09-30	PG-PAB	Si	2009-09-28	2009-09-28	2015-01-21	2015-01-21	2015-01-21	2015-01-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
4cfa7e82695a61565cc90a698c993b41	2,015	2012-03-21	1,106	2015-04-01	PG-PAB	Si	2012-03-21	2012-03-21	2012-03-21	2012-03-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4cfaae7a0fcb61d762cfa62081fdb82a	2,019	2016-06-10	1,138	2019-07-23	PG-PAI	Si	2016-06-10	2016-06-10	2016-06-10	2016-06-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4d1bfce00a960a5f646b7bcbaf1eaa09	2,014	2011-11-17	1,121	2014-12-12	PG-PAB	Si	2011-11-17	2011-11-17	2011-11-17	2011-11-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4d7961e0a72ee876c7fb8d7e858497f9	2,017	2017-01-17	149	2017-06-15	PG-PAI	No	2009-03-27	2009-03-27	2009-03-27	2010-03-01	2010-03-01	2017-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
4d7961e0a72ee876c7fb8d7e858497f9	2,014	2010-03-01	1,551	2014-05-30	PG-PAB	Si	2009-03-27	2009-03-27	2009-03-27	2010-03-01	2010-03-01	2017-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
4d7961e0a72ee876c7fb8d7e858497f9	2,012	2009-03-27	339	2010-03-01	PG-PAB	Si	2009-03-27	2009-03-27	2009-03-27	2010-03-01	2010-03-01	2017-01-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
4e0b3d9173d6ad90a099bfae874c7b77	2,018	2017-08-08	288	2018-05-23	M-PR	Si	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4e0b3d9173d6ad90a099bfae874c7b77	2,017	2014-04-16	1,142	2017-06-01	PG-PAB	Si	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4e0b3d9173d6ad90a099bfae874c7b77	2,013	2013-03-15	83	2013-06-06	M-PR	Si	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4e0b3d9173d6ad90a099bfae874c7b77	2,013	2013-01-15	57	2013-03-13	PG-PAI	Si	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4e0b3d9173d6ad90a099bfae874c7b77	2,013	2012-12-04	42	2013-01-15	PG-PAB	Si	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4e0b3d9173d6ad90a099bfae874c7b77	2,011	2011-05-25	372	2012-05-31	PG-PAB	No	2011-05-25	2012-12-04	2012-12-04	2013-01-15	2013-03-15	2014-04-16	2014-04-16	2014-04-16	2014-04-16	2017-08-08	2017-08-08	NA	NA	NA	NA	NA	NA	NA	6
4ef1a578c91e299bec560944515e60e5	2,016	2013-04-03	1,185	2016-07-01	PG-PAI	Si	2013-04-03	2013-04-03	2013-04-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
4ef7089391c3811ab18753eb086a278a	2,019	2018-03-16	410	2019-04-30	PG-PR	Si	2007-06-01	2010-08-18	2010-08-18	2010-08-18	2017-02-01	2017-02-01	2018-03-16	2018-03-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
4ef7089391c3811ab18753eb086a278a	2,018	2017-02-01	407	2018-03-15	PG-PAI	Si	2007-06-01	2010-08-18	2010-08-18	2010-08-18	2017-02-01	2017-02-01	2018-03-16	2018-03-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
4ef7089391c3811ab18753eb086a278a	2,012	2010-08-18	561	2012-03-01	PG-PAI	Si	2007-06-01	2010-08-18	2010-08-18	2010-08-18	2017-02-01	2017-02-01	2018-03-16	2018-03-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
4ef7089391c3811ab18753eb086a278a	2,010	2007-06-01	1,118	2010-06-23	PG-PAI	Si	2007-06-01	2010-08-18	2010-08-18	2010-08-18	2017-02-01	2017-02-01	2018-03-16	2018-03-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
4fe7ec76b1372cc98cbb59c7bb276b08	2,014	2011-01-28	1,127	2014-02-28	PG-PAI	Si	2011-01-28	2011-01-28	2011-01-28	2011-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
50b24489dfe4caa95f6473246223d167	2,017	2013-10-30	1,276	2017-04-28	PG-PAI	Si	2013-10-30	2013-10-30	2013-10-30	2013-10-30	2013-10-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
51684df1a3fd33d13bc723170fe8d8e0	2,015	2010-10-22	1,911	2016-01-15	PG-PAI	Si	2010-10-22	2010-10-22	2010-10-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
520be4b9a3d9b13fe3094cdba1a533be	2,019	2018-05-31	NA	NA	PG-PAI	Si	2014-06-12	2014-06-12	2014-06-12	2014-06-12	2018-05-31	2018-05-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
520be4b9a3d9b13fe3094cdba1a533be	2,017	2014-06-12	1,268	2017-12-01	PG-PAI	Si	2014-06-12	2014-06-12	2014-06-12	2014-06-12	2018-05-31	2018-05-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
528933ce987d4d2941e13fe4d58eb516	2,011	2007-06-06	1,552	2011-09-05	M-PAI	Si	2007-06-06	2007-06-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
52a6c69ecbda5b66245ede8ce52dfb4a	2,016	2013-04-01	1,193	2016-07-07	PG-PAB	Si	2013-04-01	2013-04-01	2013-04-01	2013-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
52bf63c0ca558150997cbab798282bca	2,019	2019-06-23	61	2019-08-23	PG-PAI	Si	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2019-03-14	2019-06-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
52bf63c0ca558150997cbab798282bca	2,019	2019-03-14	62	2019-05-15	PG-PR	Si	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2019-03-14	2019-06-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
52bf63c0ca558150997cbab798282bca	2,015	2011-09-08	1,247	2015-02-06	PG-PAB	Si	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2011-09-08	2019-03-14	2019-06-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5311cb57b6ee5718b314193c48ac733c	2,010	2007-02-09	1,159	2010-04-13	PG-PAB	Si	2007-02-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
53156a8754f60bb5800947e88d818f3e	2,019	2019-09-05	NA	NA	PG-PAB	Si	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2018-05-02	2019-09-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
53156a8754f60bb5800947e88d818f3e	2,018	2018-05-02	163	2018-10-12	M-PR	Si	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2018-05-02	2019-09-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
53156a8754f60bb5800947e88d818f3e	2,017	2013-10-03	1,331	2017-05-26	M-PAI	Si	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2018-05-02	2019-09-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5356d0ac3550d36989741b1dbbb0d473	2,014	2011-02-28	1,199	2014-06-11	PG-PAB	Si	2011-02-28	2011-02-28	2011-02-28	2011-02-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
53f566dccb42037f93ffe2b1be9a01a2	2,011	2011-10-31	1,158	2015-01-01	PG-PR	Si	2011-10-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
54153878ce2e19549a31891c537a1909	2,018	2015-03-27	1,344	2018-11-30	PG-PAB	Si	2015-03-27	2015-03-27	2015-03-27	2015-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
54e63f75bb1ac598b977e683aa53a44d	2,017	2015-01-13	1,115	2018-02-01	PG-PAI	Si	2008-11-12	2010-08-27	2010-08-27	2014-11-25	2014-11-25	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
54e63f75bb1ac598b977e683aa53a44d	2,015	2014-11-25	49	2015-01-13	PG-PAB	Si	2008-11-12	2010-08-27	2010-08-27	2014-11-25	2014-11-25	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
54e63f75bb1ac598b977e683aa53a44d	2,011	2010-08-27	210	2011-03-25	PG-PAB	Si	2008-11-12	2010-08-27	2010-08-27	2014-11-25	2014-11-25	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
54e63f75bb1ac598b977e683aa53a44d	2,010	2008-11-12	595	2010-06-30	PG-PAB	Si	2008-11-12	2010-08-27	2010-08-27	2014-11-25	2014-11-25	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
551eb9821faed5f67f96d1f77737b341	2,018	2014-03-18	1,561	2018-06-26	PG-PAB	Si	2014-03-18	2014-03-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
55b6ef5141c83a38abaadaba683f6e32	2,019	2015-04-06	1,453	2019-03-29	PG-PAB	Si	2013-08-08	2013-08-08	2015-04-06	2015-04-06	2015-04-06	2015-04-06	2015-04-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
55b6ef5141c83a38abaadaba683f6e32	2,014	2013-08-08	267	2014-05-02	PG-PAB	Si	2013-08-08	2013-08-08	2015-04-06	2015-04-06	2015-04-06	2015-04-06	2015-04-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
56965779644aa6ba1803915f062bca97	2,010	2009-06-11	2,395	2016-01-01	PG-PAB	No	2009-06-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
56fbafc85272cfb6b8449dc9d5a7476f	2,010	2008-01-01	1,096	2011-01-01	PG-PAI	Si	2008-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
573e5eb1daff2257d83950c3191a878a	2,017	2014-02-04	1,192	2017-05-11	PG-PAI	Si	2014-02-04	2014-02-04	2014-02-04	2014-02-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5762267917e048c699d2a78640930955	2,018	2013-11-01	1,643	2018-05-02	M-PAI	Si	2013-11-01	2013-11-01	2013-11-01	2013-11-01	2013-11-01	2013-11-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
578ae693be289de023125ddd2777dd1c	2,018	2015-01-07	1,224	2018-05-15	PG-PAI	Si	2015-01-07	2015-01-07	2015-01-07	2015-01-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
57e24c6961e94f2c9add952149478515	2,014	2011-01-03	1,178	2014-03-26	PG-PAI	Si	2011-01-03	2011-01-03	2011-01-03	2011-01-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5885e9960f1e09d2b767ccceaac02e77	2,010	2009-06-12	2,394	2016-01-01	PG-PAB	No	2009-06-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5a02cb4949bb116927eefa942fc65526	2,015	2010-07-12	1,670	2015-02-06	PG-PAB	Si	2010-07-12	2010-07-12	2010-07-12	2010-07-12	2010-07-12	2010-07-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5a20816d80fe1114bf80a17cab627146	2,011	2010-10-21	1,898	2016-01-01	PG-PAB	Si	2010-10-21	2010-10-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5a593200a77831b921f7e21dc66eeebc	2,010	2009-03-25	2,473	2016-01-01	PG-PAB	No	2009-03-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5a993e74d7c4b7e520074498314a0aae	2,018	2013-09-09	1,750	2018-06-25	PG-PAI	Si	2013-09-09	2013-09-09	2013-09-09	2013-09-09	2013-09-09	2013-09-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5b03a6181e8f54ceccf4ea282bc40144	2,012	2009-02-16	1,204	2012-06-04	PG-PAB	Si	2009-02-16	2009-02-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5c37b208627a40ff14eca68bbb16e1da	2,014	2011-08-22	1,264	2015-02-06	PG-PAB	Si	2011-08-22	2011-08-22	2011-08-22	2011-08-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5c67d04035132ac25e2b3448db2bd9fc	2,016	2010-03-31	2,284	2016-07-01	PG-PAI	Si	2007-11-09	2007-11-09	2009-11-09	2010-03-01	2010-03-31	2010-03-31	2010-03-31	2010-03-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5c67d04035132ac25e2b3448db2bd9fc	2,013	2010-03-01	30	2010-03-31	PG-PAB	Si	2007-11-09	2007-11-09	2009-11-09	2010-03-01	2010-03-31	2010-03-31	2010-03-31	2010-03-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5c67d04035132ac25e2b3448db2bd9fc	2,010	2007-11-09	843	2010-03-01	PG-PAB	Si	2007-11-09	2007-11-09	2009-11-09	2010-03-01	2010-03-31	2010-03-31	2010-03-31	2010-03-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5cfaf3d9087da8cf71dbfd495729d3c9	2,017	2012-06-14	1,678	2017-01-17	PG-PAB	Si	2012-06-14	2012-06-14	2012-06-14	2012-06-14	2012-06-14	2012-06-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5d567ee361fec38c67eb1a945fcea16e	2,011	2008-09-29	1,155	2011-11-28	PG-PAI	Si	2008-09-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5decec7553def0efa696105e0cdadb78	2,016	2012-02-16	1,628	2016-08-01	PG-PAB	Si	2012-02-16	2012-02-16	2012-02-16	2012-02-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
5e67a3ab52aa26031af4b621d28a3403	2,016	2013-01-31	1,436	2017-01-06	PG-PAI	Si	2011-08-16	2013-01-08	2013-01-31	2013-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5e67a3ab52aa26031af4b621d28a3403	2,014	2013-01-08	23	2013-01-31	PG-PAB	Si	2011-08-16	2013-01-08	2013-01-31	2013-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5e67a3ab52aa26031af4b621d28a3403	2,011	2011-08-16	126	2011-12-20	M-PR	No	2011-08-16	2013-01-08	2013-01-31	2013-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
5ecc3680fd76bc8479a4eba3d7d4eff1	2,017	2017-04-04	88	2017-07-01	PG-PR	No	2011-02-28	2011-02-28	2012-01-21	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2015-10-21	2015-10-21	2015-10-21	2017-04-04	NA	NA	NA	NA	NA	NA	5
5ecc3680fd76bc8479a4eba3d7d4eff1	2,017	2015-10-21	527	2017-03-31	PG-PAI	Si	2011-02-28	2011-02-28	2012-01-21	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2015-10-21	2015-10-21	2015-10-21	2017-04-04	NA	NA	NA	NA	NA	NA	5
5ecc3680fd76bc8479a4eba3d7d4eff1	2,015	2012-07-10	1,116	2015-07-31	PG-PAI	Si	2011-02-28	2011-02-28	2012-01-21	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2015-10-21	2015-10-21	2015-10-21	2017-04-04	NA	NA	NA	NA	NA	NA	5
5ecc3680fd76bc8479a4eba3d7d4eff1	2,012	2012-01-21	5	2012-01-26	PG-PR	No	2011-02-28	2011-02-28	2012-01-21	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2015-10-21	2015-10-21	2015-10-21	2017-04-04	NA	NA	NA	NA	NA	NA	5
5ecc3680fd76bc8479a4eba3d7d4eff1	2,012	2011-02-28	322	2012-01-16	PG-PR	Si	2011-02-28	2011-02-28	2012-01-21	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2012-07-10	2015-10-21	2015-10-21	2015-10-21	2017-04-04	NA	NA	NA	NA	NA	NA	5
60149e7e62e7ab38c3d999efe70b95d3	2,017	2014-08-01	1,267	2018-01-19	PG-PAB	Si	2014-08-01	2014-08-01	2014-08-01	2014-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
60320b21377b5b6729d078861b510251	2,016	2013-04-01	1,402	2017-02-01	PG-PAI	Si	2013-04-01	2013-04-01	2013-04-01	2013-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
603deca766468c7556db103bd5cf11fe	2,019	2018-10-23	NA	NA	PG-PAI	Si	2009-03-30	2009-03-30	2009-03-30	2017-07-07	2017-07-07	2018-10-23	2018-10-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
603deca766468c7556db103bd5cf11fe	2,018	2017-07-07	203	2018-01-26	M-PAI	Si	2009-03-30	2009-03-30	2009-03-30	2017-07-07	2017-07-07	2018-10-23	2018-10-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
603deca766468c7556db103bd5cf11fe	2,012	2009-03-30	1,127	2012-04-30	PG-PAB	Si	2009-03-30	2009-03-30	2009-03-30	2017-07-07	2017-07-07	2018-10-23	2018-10-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
604c3d734cd3aae505ab925a31d5d486	2,016	2013-01-29	1,172	2016-04-15	PG-PAB	Si	2013-01-29	2013-01-29	2013-01-29	2013-01-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
61060dba9e78a5bdca254b0885c45e20	2,019	2015-04-14	1,484	2019-05-07	PG-PAI	Si	2012-02-07	2015-04-14	2015-04-14	2015-04-14	2015-04-14	2015-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
61060dba9e78a5bdca254b0885c45e20	2,012	2012-02-07	519	2013-07-10	PG-PAB	Si	2012-02-07	2015-04-14	2015-04-14	2015-04-14	2015-04-14	2015-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
61645eae3ad98eed89e1adc58b873aa2	2,016	2012-10-08	1,373	2016-07-12	PG-PAB	Si	2012-10-08	2012-10-08	2012-10-08	2012-10-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
61997765cf30937ae83c4d2f3d3a424c	2,010	2007-08-02	1,245	2010-12-29	PG-PAB	Si	2007-08-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
61b2e0f8738df1915b1ddecbeae24147	2,018	2014-03-17	1,529	2018-05-24	PG-PAI	Si	2014-03-17	2014-03-17	2014-03-17	2014-03-17	2014-03-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
62c6c516557dddab06f4f18e2909cb0b	2,013	2009-10-19	1,563	2014-01-29	PG-PAI	Si	2009-10-19	2009-10-19	2009-10-19	2009-10-19	2009-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
62f1b0d5d5b529e9bb787ed93112c905	2,019	2019-02-04	87	2019-05-02	PG-PAI	Si	2009-08-24	2009-08-24	2013-08-26	2013-08-26	2019-02-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
62f1b0d5d5b529e9bb787ed93112c905	2,014	2013-08-26	254	2014-05-07	PG-PAI	Si	2009-08-24	2009-08-24	2013-08-26	2013-08-26	2019-02-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
62f1b0d5d5b529e9bb787ed93112c905	2,013	2009-08-24	1,407	2013-07-01	PG-PAI	Si	2009-08-24	2009-08-24	2013-08-26	2013-08-26	2019-02-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
631d6f3820794ed793550d7a75ea7952	2,015	2012-09-26	1,112	2015-10-13	PG-PAB	Si	2012-09-26	2012-09-26	2012-09-26	2012-09-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
64af8911ab071d52ee5578462a16838d	2,013	2008-06-02	1,732	2013-02-28	PG-PAB	Si	2008-06-02	2008-06-02	2008-06-02	2008-06-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
653224347ece341ac8c69b25dad8f239	2,017	2014-10-13	1,207	2018-02-01	PG-PAB	Si	2014-10-13	2014-10-13	2014-10-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
65665a062d9641ae51bfe4a152f97fc1	2,019	2018-08-20	NA	NA	PG-PAB	Si	2012-11-22	2012-11-22	2014-02-04	2018-08-20	2018-08-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
65665a062d9641ae51bfe4a152f97fc1	2,013	2012-11-22	1,135	2016-01-01	M-PR	Si	2012-11-22	2012-11-22	2014-02-04	2018-08-20	2018-08-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
656e6149c37269f8ced8d276f9d682c1	2,018	2014-12-29	1,246	2018-05-28	PG-PAI	Si	2014-12-29	2014-12-29	2014-12-29	2014-12-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
67704a804d6138a6ab69205a0023e538	2,017	2014-04-01	1,351	2017-12-12	PG-PAI	Si	2014-04-01	2014-04-01	2014-04-01	2014-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
677343f2861a7f2fdc6360ab919b9e11	2,017	2015-09-02	684	2017-07-17	M-PAI	Si	2010-08-30	2010-08-30	2010-08-30	2015-06-16	2015-09-02	2015-09-02	2015-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
677343f2861a7f2fdc6360ab919b9e11	2,015	2015-06-16	72	2015-08-27	M-PR	Si	2010-08-30	2010-08-30	2010-08-30	2015-06-16	2015-09-02	2015-09-02	2015-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
677343f2861a7f2fdc6360ab919b9e11	2,015	2010-08-30	1,731	2015-05-27	PG-PAI	Si	2010-08-30	2010-08-30	2010-08-30	2015-06-16	2015-09-02	2015-09-02	2015-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
6819029270ad0b34a4118bfadc2ce8e3	2,019	2018-05-28	NA	NA	PG-PAI	Si	2010-06-08	2010-06-08	2010-06-08	2010-06-08	2017-05-04	2018-05-28	2018-05-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
6819029270ad0b34a4118bfadc2ce8e3	2,017	2017-05-04	183	2017-11-03	PG-PAI	Si	2010-06-08	2010-06-08	2010-06-08	2010-06-08	2017-05-04	2018-05-28	2018-05-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
6819029270ad0b34a4118bfadc2ce8e3	2,013	2010-06-08	1,119	2013-07-01	PG-PAB	Si	2010-06-08	2010-06-08	2010-06-08	2010-06-08	2017-05-04	2018-05-28	2018-05-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
69932049b608cff320ba7db954022bcf	2,015	2010-06-22	1,690	2015-02-06	PG-PAB	Si	2010-06-22	2010-06-22	2010-06-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
699cd228c09105b482500e6d95eb039a	2,012	2009-01-27	1,340	2012-09-28	PG-PAI	Si	2009-01-27	2009-01-27	2009-01-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
69d447cfb49d80b198be58da5db83455	2,012	2009-04-30	1,280	2012-10-31	PG-PAB	Si	2009-04-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6b17b69db4748516224151936c14734f	2,012	2010-10-29	1,279	2014-04-30	PG-PAB	Si	2010-10-29	2010-10-29	2010-10-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6c21a5093a437536cde3ef4d8de1071a	2,012	2008-01-04	1,512	2012-02-24	PG-PAB	Si	2008-01-04	2008-01-04	2008-01-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6c56d9aa901884ca855ea1157f7a73f0	2,019	2016-05-09	1,218	2019-09-09	PG-PAI	No	2016-05-09	2016-05-09	2016-05-09	2016-05-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6c5754c6d20224b48eb9af0fbdb273c6	2,010	2009-09-25	2,289	2016-01-01	PG-PAI	No	2009-09-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6d7fa1f2e7ec2aea267b7bffb8b7cc64	2,016	2015-10-16	122	2016-02-15	PG-PAI	Si	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2015-10-16	2015-10-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
6d7fa1f2e7ec2aea267b7bffb8b7cc64	2,015	2007-05-04	2,947	2015-05-29	PG-PAI	Si	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2007-05-04	2015-10-16	2015-10-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
6db0a0bfe44a2eddcd0f72d5a3cc1eb6	2,018	2015-03-27	1,191	2018-06-30	PG-PAI	Si	2015-03-27	2015-03-27	2015-03-27	2015-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6e74bf9eaa664180a7ff461bc0212abd	2,019	2015-01-15	1,490	2019-02-13	PG-PAI	Si	2015-01-15	2015-01-15	2015-01-15	2015-01-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6eb5091d7efbd6cea1f4b8ca152883ea	2,017	2014-03-12	1,146	2017-05-01	PG-PAB	Si	2014-03-12	2014-03-12	2014-03-12	2014-03-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6f105867472f12b005f4d9816740202d	2,014	2009-10-19	1,839	2014-11-01	PG-PAB	Si	2009-10-19	2009-10-19	2009-10-19	2009-10-19	2009-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6f3c945ad4a171543612cfae510a6cde	2,012	2008-08-28	1,520	2012-10-26	PG-PAI	Si	2008-08-28	2008-08-28	2008-08-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
6fe9e84ab47559f19d50b1d267a780bb	2,018	2013-06-10	1,725	2018-03-01	PG-PAB	Si	2013-06-10	2013-06-10	2013-06-10	2013-06-10	2013-06-10	2013-06-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
70572358efeb7ac8413c423f6bc99d93	2,017	2013-05-08	1,671	2017-12-04	PG-PAB	Si	2013-05-08	2013-05-08	2013-05-08	2013-05-08	2013-05-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
70e1bd8e04528c112a06e1d12bde65f0	2,016	2012-05-02	1,694	2016-12-21	PG-PAI	Si	2012-05-02	2012-05-02	2012-05-02	2012-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
70e961bb34b061c4846bd86b8b7917dd	2,011	2011-07-29	1,252	2015-01-01	PG-PR	Si	2011-07-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
70fcdfe68b5a2cb4f7a7133feb6daca3	2,010	2010-08-03	1,246	2013-12-31	PG-PAB	Si	2010-08-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
71d5e3d2dc335ef4b3658298f5332477	2,013	2013-04-04	88	2013-07-01	PG-PAI	Si	2008-11-13	2008-11-13	2012-01-26	2012-03-14	2013-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
71d5e3d2dc335ef4b3658298f5332477	2,012	2012-03-14	91	2012-06-13	PG-PAI	Si	2008-11-13	2008-11-13	2012-01-26	2012-03-14	2013-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
71d5e3d2dc335ef4b3658298f5332477	2,012	2012-01-26	25	2012-02-20	PG-PAI	Si	2008-11-13	2008-11-13	2012-01-26	2012-03-14	2013-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
71d5e3d2dc335ef4b3658298f5332477	2,011	2008-11-13	1,124	2011-12-12	PG-PAI	Si	2008-11-13	2008-11-13	2012-01-26	2012-03-14	2013-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
7206f02cfd343de34425766a9a7f58a5	2,015	2011-08-01	1,388	2015-05-20	PG-PAI	Si	2011-08-01	2011-08-01	2011-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7289277198566363437d7a4db6b3a94c	2,017	2014-10-16	1,097	2017-10-17	PG-PAI	Si	2014-10-16	2014-10-16	2014-10-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
72b1ab1e983027f6dedc36d1a1822357	2,012	2012-07-30	1,537	2016-10-14	PG-PR	No	2012-07-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
72fcde021d76671c49bd7de7c58f47bb	2,010	2010-03-25	1,377	2013-12-31	PG-PAB	Si	2010-03-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7349c214788c896b1ed5d9a6114ab07a	2,016	2012-12-19	1,258	2016-05-30	PG-PAB	Si	2012-12-19	2012-12-19	2012-12-19	2012-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7430fb23f251eff2fc7b9b51ad670f3b	2,018	2015-06-16	1,200	2018-09-28	PG-PAI	Si	2015-06-16	2015-06-16	2015-06-16	2015-06-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7492f6aa8171684d130df762d7571e53	2,017	2014-04-30	1,164	2017-07-07	PG-PAB	Si	2014-04-30	2014-04-30	2014-04-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
74d02d66f0698ee31d44edc27727a88b	2,019	2019-05-02	NA	NA	PG-PAB	Si	2009-01-12	2009-01-12	2013-02-26	2019-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
74d02d66f0698ee31d44edc27727a88b	2,013	2013-02-26	91	2013-05-28	PG-PAB	Si	2009-01-12	2009-01-12	2013-02-26	2019-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
74d02d66f0698ee31d44edc27727a88b	2,011	2009-01-12	1,109	2012-01-26	PG-PAB	Si	2009-01-12	2009-01-12	2013-02-26	2019-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
7507279e2093db10575923ca374474f4	2,019	2018-07-03	NA	NA	PG-PAI	Si	2014-02-24	2014-02-24	2014-02-24	2014-02-24	2018-07-03	2018-07-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7507279e2093db10575923ca374474f4	2,017	2014-02-24	1,159	2017-04-28	PG-PAB	Si	2014-02-24	2014-02-24	2014-02-24	2014-02-24	2018-07-03	2018-07-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7581dc6579ae02b7f2aa0005e097bbab	2,017	2013-12-05	1,149	2017-01-27	M-PAI	Si	2013-12-05	2013-12-05	2013-12-05	2013-12-05	2013-12-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
76ae37458f4eb54c3ad1a64c73126351	2,017	2014-04-24	1,134	2017-06-01	PG-PAI	Si	2014-04-24	2014-04-24	2014-04-24	2014-04-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
77402f47e57f9b6a9d35649f96565ec1	2,014	2010-04-07	1,766	2015-02-06	PG-PAB	Si	2010-04-07	2010-04-07	2010-04-07	2010-04-07	2010-04-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
781afea81ef80c128c70e3ee3587285e	2,011	2008-02-28	1,218	2011-06-30	PG-PAI	Si	2008-02-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
78d38feadddd8492175dc81ca5622ade	2,019	2018-06-26	219	2019-01-31	PG-PAB	Si	2010-04-14	2010-04-14	2016-03-07	2018-06-26	2018-06-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
78d38feadddd8492175dc81ca5622ade	2,016	2016-03-07	107	2016-06-22	PG-PAB	Si	2010-04-14	2010-04-14	2016-03-07	2018-06-26	2018-06-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
78d38feadddd8492175dc81ca5622ade	2,011	2010-04-14	1,359	2014-01-02	PG-PAB	Si	2010-04-14	2010-04-14	2016-03-07	2018-06-26	2018-06-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
78f26c69ea97289453274f61a57bc1ee	2,019	2019-05-06	56	2019-07-01	PG-PAI	Si	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2019-05-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
78f26c69ea97289453274f61a57bc1ee	2,013	2010-08-06	1,277	2014-02-03	PG-PAI	Si	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2010-08-06	2019-05-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
793cbab47efde891cce5b7b7b980c193	2,015	2011-06-20	1,349	2015-02-28	PG-PAB	Si	2011-06-20	2011-06-20	2011-06-20	2011-06-20	2011-06-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7971826f733e971fb6cadb9f4a315931	2,016	2015-04-08	295	2016-01-28	PG-PAB	No	2007-01-25	2015-04-08	2015-04-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7971826f733e971fb6cadb9f4a315931	2,011	2007-01-25	1,828	2012-01-27	PG-PAB	No	2007-01-25	2015-04-08	2015-04-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7b88d447ee9498b645680c4f335bbe6b	2,016	2013-05-16	1,265	2016-11-01	PG-PAB	Si	2013-05-16	2013-05-16	2013-05-16	2013-05-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7bb16260cdb8d4b9f87dec9e02128593	2,015	2012-06-15	1,116	2015-07-06	PG-PAI	Si	2010-08-03	2012-06-15	2012-06-15	2012-06-15	2012-06-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7bb16260cdb8d4b9f87dec9e02128593	2,010	2010-08-03	104	2010-11-15	PG-PAI	Si	2010-08-03	2012-06-15	2012-06-15	2012-06-15	2012-06-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7d40d1d2064492c95a85e367f19944d8	2,012	2012-03-19	196	2012-10-01	PG-PAI	No	2008-05-20	2011-09-30	2011-09-30	2012-03-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
7d40d1d2064492c95a85e367f19944d8	2,012	2011-09-30	159	2012-03-07	PG-PR	Si	2008-05-20	2011-09-30	2011-09-30	2012-03-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
7d40d1d2064492c95a85e367f19944d8	2,011	2008-05-20	1,228	2011-09-30	PG-PAB	Si	2008-05-20	2011-09-30	2011-09-30	2012-03-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
7d5f8e59f6ce5e3d4b0a0190a8024688	2,011	2007-02-01	1,677	2011-09-05	PG-PAI	Si	2007-02-01	2007-02-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7d6fed9747d1335f525981d51dce0700	2,012	2009-04-27	1,221	2012-08-30	PG-PAI	Si	2008-08-29	2009-01-27	2009-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7d6fed9747d1335f525981d51dce0700	2,011	2008-08-29	241	2009-04-27	PG-PAI	Si	2008-08-29	2009-01-27	2009-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
7d896583847ff100fe138ccea5de03d3	2,015	2011-03-02	1,532	2015-05-12	PG-PAI	Si	2011-03-02	2011-03-02	2011-03-02	2011-03-02	2011-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
7fb1b7ec6d9a75c924008bbb317d89b4	2,018	2011-06-15	2,743	2018-12-18	PG-PAI	Si	2011-06-15	2011-06-15	2011-06-15	2011-06-15	2011-06-15	2011-06-15	2011-06-15	2011-06-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
807d5647d51774fd265db1c687dce3de	2,015	2011-07-19	1,401	2015-05-20	PG-PAI	Si	2011-07-19	2011-07-19	2011-07-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
81577c6188c5db2a32f833ac413c75af	2,019	2018-04-27	460	2019-07-31	PG-PAI	Si	2012-06-26	2012-06-26	2012-06-26	2012-06-26	2018-04-27	2018-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
81577c6188c5db2a32f833ac413c75af	2,015	2012-06-26	1,217	2015-10-26	PG-PAI	Si	2012-06-26	2012-06-26	2012-06-26	2012-06-26	2018-04-27	2018-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
81e39f59293296f40990c3f7c301c422	2,010	2007-02-08	1,176	2010-04-29	NA	Si	2007-02-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
820d9bb6afa0e07acb572afd8ed2c114	2,019	2019-01-28	98	2019-05-06	PG-PR	Si	2008-01-16	2017-07-27	2017-07-27	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
820d9bb6afa0e07acb572afd8ed2c114	2,018	2017-07-27	188	2018-01-31	PG-PAB	Si	2008-01-16	2017-07-27	2017-07-27	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
820d9bb6afa0e07acb572afd8ed2c114	2,010	2008-01-16	1,160	2011-03-21	PG-PAI	Si	2008-01-16	2017-07-27	2017-07-27	2019-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
821661b08c7773441acba26a0601f064	2,018	2015-07-06	1,180	2018-09-28	PG-PAB	Si	2015-07-06	2015-07-06	2015-07-06	2015-07-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
83426dd16f6ed9c4b0969fa95fd1de00	2,014	2011-01-03	1,340	2014-09-04	PG-PAB	Si	2011-01-03	2011-01-03	2011-01-03	2011-01-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
834db91bc1e8341aef719678ae75e839	2,014	2011-04-11	1,360	2014-12-31	PG-PAB	Si	2011-04-11	2011-04-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
835ac7a7f660dde3d88bab0935828008	2,010	2010-07-26	1,254	2013-12-31	PG-PAB	Si	2009-02-02	2010-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
835ac7a7f660dde3d88bab0935828008	2,010	2009-02-02	539	2010-07-26	PG-PAB	Si	2009-02-02	2010-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
83fd5f8f3dbd6f7eae46486324c56ca2	2,017	2014-02-27	1,219	2017-06-30	PG-PAB	Si	2014-02-27	2014-02-27	2014-02-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8463939c5be4dc6143e2869f50da6085	2,012	2012-02-13	16	2012-02-29	PG-PAB	Si	2007-06-07	2011-01-01	2011-01-01	2012-02-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8463939c5be4dc6143e2869f50da6085	2,012	2011-01-01	408	2012-02-13	PG-PAI	Si	2007-06-07	2011-01-01	2011-01-01	2012-02-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8463939c5be4dc6143e2869f50da6085	2,010	2007-06-07	1,304	2011-01-01	PG-PAB	Si	2007-06-07	2011-01-01	2011-01-01	2012-02-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
848e1a726c9c679eb7fafae38ed1c441	2,019	2015-12-28	1,130	2019-01-31	PG-PAB	Si	2013-04-22	2013-04-22	2013-04-22	2015-12-28	2015-12-28	2015-12-28	2015-12-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
848e1a726c9c679eb7fafae38ed1c441	2,015	2013-04-22	952	2015-11-30	PG-PAB	Si	2013-04-22	2013-04-22	2013-04-22	2015-12-28	2015-12-28	2015-12-28	2015-12-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
84a76d02b0ecaae8c206f2aeb222be4e	2,013	2010-02-15	1,417	2014-01-02	PG-PAB	Si	2010-02-15	2010-02-15	2010-02-15	2010-02-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
84cd88c4d25ad95e57c61ea4f4b7cf78	2,011	2007-09-16	1,415	2011-08-01	PG-PAB	Si	2007-09-16	2007-09-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
84fa90cdf18cde75a28fbd6575bded16	2,012	2008-01-02	1,553	2012-04-03	PG-PAI	Si	2008-01-02	2008-01-02	2008-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
859589959fa598b87550f96eb626dee7	2,018	2014-03-19	1,546	2018-06-12	M-PAI	Si	2014-03-19	2014-03-19	2014-03-19	2014-03-19	2014-03-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
85bbd702c2cf277e54c343f46b3899ea	2,013	2010-03-24	1,160	2013-05-27	PG-PAB	Si	2010-03-24	2010-03-24	2010-03-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
85e079ebcdae87a7fa944eaf188db8ef	2,016	2014-01-13	1,114	2017-01-31	PG-PAB	Si	2014-01-13	2014-01-13	2014-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
860f6092e07254ccd31fee4ed3c0249a	2,018	2015-02-17	1,108	2018-03-01	M-PAI	Si	2015-02-17	2015-02-17	2015-02-17	2015-02-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
869b96c7307ce008cc2f79a921adb36c	2,017	2013-06-17	1,325	2017-02-01	PG-PAB	Si	2013-06-17	2013-06-17	2013-06-17	2013-06-17	2013-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
879e4e221148dfa79bbe1c7b3c08453f	2,012	2007-08-23	1,649	2012-02-27	PG-PAB	Si	2007-08-23	2007-08-23	2007-08-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
883dedb13efb7e115fb672943caa666d	2,011	2011-08-03	1,581	2015-12-01	PG-PR	No	2011-08-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
893d3995be56f95d8fd7e78f775182a3	2,013	2010-07-26	1,099	2013-07-29	PG-PAB	Si	2010-07-26	2010-07-26	2010-07-26	2010-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
89abb9319e4b5ec25526c1a649d0ab21	2,011	2008-07-14	1,295	2012-01-30	PG-PAB	Si	2008-07-14	2008-07-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
89f11a60d4cc5199c99292516b293b30	2,017	2013-05-16	1,589	2017-09-21	PG-PAB	Si	2013-05-16	2013-05-16	2013-05-16	2013-05-16	2013-05-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8a186c2d5910279d1f167b73f9b5e015	2,012	2008-01-02	1,611	2012-05-31	PG-PAI	No	2008-01-02	2008-01-02	2008-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8a5704537c3678642b4447365efa7469	2,018	2018-03-02	152	2018-08-01	PG-PAI	Si	2008-04-29	2008-04-29	2013-03-08	2018-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8a5704537c3678642b4447365efa7469	2,013	2013-03-08	269	2013-12-02	PG-PAI	Si	2008-04-29	2008-04-29	2013-03-08	2018-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8a5704537c3678642b4447365efa7469	2,012	2008-04-29	1,434	2012-04-02	PG-PAI	Si	2008-04-29	2008-04-29	2013-03-08	2018-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8a5dfe31b867770b6ab6fc10b164e08d	2,015	2012-01-06	1,214	2015-05-04	PG-PAB	Si	2012-01-06	2012-01-06	2012-01-06	2012-01-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8a637d51ee7de866ef37adb9348a7e25	2,013	2010-11-22	1,340	2014-07-24	PG-PAB	Si	2010-11-22	2010-11-22	2010-11-22	2010-11-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8aea93f46954c0efe0a79a4b0038855b	2,015	2014-11-12	169	2015-04-30	M-PAI	Si	2009-03-31	2013-11-13	2014-11-12	2014-11-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8aea93f46954c0efe0a79a4b0038855b	2,014	2013-11-13	324	2014-10-03	M-PR	Si	2009-03-31	2013-11-13	2014-11-12	2014-11-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8aea93f46954c0efe0a79a4b0038855b	2,010	2009-03-31	1,402	2013-01-31	PG-PAB	Si	2009-03-31	2013-11-13	2014-11-12	2014-11-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
8b8dd1e91f8cb8e90e76ca05f6015a72	2,018	2015-02-03	1,122	2018-03-01	PG-PAI	Si	2015-02-03	2015-02-03	2015-02-03	2015-02-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8ba53415263e2b81d32ea7ed2ec256fb	2,010	2010-02-10	1,420	2013-12-31	PG-PAB	Si	2010-02-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8cd9195a88e213b7571b256cb176a214	2,018	2014-09-09	1,519	2018-11-06	PG-PAB	Si	2014-09-09	2014-09-09	2014-09-09	2014-09-09	2014-09-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8d25ce07b7e86b76ff8450dc7458ac28	2,018	2015-03-02	1,278	2018-08-31	PG-PAI	Si	2015-03-02	2015-03-02	2015-03-02	2015-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8d2dfe24c7a24d541a13b4e82b82eede	2,018	2014-08-07	1,387	2018-05-25	PG-PAI	Si	2014-08-07	2014-08-07	2014-08-07	2014-08-07	2014-08-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8db4b502e48c716a042c96acbba23682	2,017	2013-09-03	1,247	2017-02-01	PG-PAB	Si	2013-09-03	2013-09-03	2013-09-03	2013-09-03	2013-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8e3a6e942abbe5c4471b36d9841aa406	2,011	2008-02-01	1,348	2011-10-11	PG-PAI	No	2008-02-01	2008-02-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8e8e52af80279edce260d1cd70a00e96	2,018	2014-09-10	1,601	2019-01-28	PG-PR	Si	2014-09-10	2014-09-10	2014-09-10	2014-09-10	2014-09-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
8f65089babfa14996c25c6afe17db922	2,017	2017-06-19	74	2017-09-01	PG-PAB	Si	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2017-06-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
8f65089babfa14996c25c6afe17db922	2,016	2012-09-03	1,375	2016-06-09	PG-PAI	Si	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2012-09-03	2017-06-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
8fedbc74415582878fa682ae95ec48a9	2,015	2012-02-13	1,288	2015-08-24	PG-PAI	Si	2012-02-13	2012-02-13	2012-02-13	2012-02-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
90fbcee690111267d400d399e71eb0bc	2,015	2009-12-15	2,106	2015-09-21	PG-PAI	Si	2009-12-15	2009-12-15	2009-12-15	2009-12-15	2009-12-15	2009-12-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
910188b76cbc248b1f7a6e05e2db2245	2,013	2010-03-08	1,096	2013-03-08	PG-PAB	Si	2010-03-08	2010-03-08	2010-03-08	2010-03-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9120420638cf9489358c613c41239585	2,018	2018-08-06	99	2018-11-13	M-PAI	Si	2015-03-02	2015-03-02	2015-03-02	2015-03-02	2018-08-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9120420638cf9489358c613c41239585	2,018	2015-03-02	1,144	2018-04-19	PG-PAI	Si	2015-03-02	2015-03-02	2015-03-02	2015-03-02	2018-08-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
91b149f191eb2fe1e402374c28f8ee89	2,017	2014-03-11	1,175	2017-05-29	PG-PAB	Si	2011-08-02	2014-03-11	2014-03-11	2014-03-11	2014-03-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
91b149f191eb2fe1e402374c28f8ee89	2,011	2011-08-02	91	2011-11-01	PG-PAB	Si	2011-08-02	2014-03-11	2014-03-11	2014-03-11	2014-03-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
92f7992b962d02a791ff9e2829ff9bb4	2,010	2007-05-16	1,142	2010-07-01	PG-PAI	Si	2007-05-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
938400e24f39c2ed8575ad810aeac803	2,019	2015-02-27	1,418	2019-01-15	PG-PAI	Si	2015-02-27	2015-02-27	2015-02-27	2015-02-27	2015-02-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
938668c5aa721610beab1befec028e72	2,016	2013-04-26	1,188	2016-07-27	PG-PAI	Si	2013-04-26	2013-04-26	2013-04-26	2013-04-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
93a39bbe9261f27a04af2a3bf5823593	2,017	2013-06-17	1,387	2017-04-04	PG-PAI	Si	2013-06-17	2013-06-17	2013-06-17	2013-06-17	2013-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
93e919a266b351bf85c3956c837c4ac7	2,019	2013-11-08	2,000	2019-05-01	PG-PR	No	2009-03-16	2009-03-16	2009-03-16	2009-03-16	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	NA	NA	NA	NA	NA	NA	NA	2
93e919a266b351bf85c3956c837c4ac7	2,013	2009-03-16	1,568	2013-07-01	PG-PAB	Si	2009-03-16	2009-03-16	2009-03-16	2009-03-16	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	2013-11-08	NA	NA	NA	NA	NA	NA	NA	2
940072c88254c0601c2f9af1d52bdfa8	2,016	2015-12-16	110	2016-04-04	PG-PAI	Si	2011-11-10	2011-11-10	2012-06-27	2012-06-27	2012-06-27	2012-06-27	2015-12-16	2015-12-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
940072c88254c0601c2f9af1d52bdfa8	2,015	2012-06-27	1,191	2015-10-01	PG-PAI	Si	2011-11-10	2011-11-10	2012-06-27	2012-06-27	2012-06-27	2012-06-27	2015-12-16	2015-12-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
940072c88254c0601c2f9af1d52bdfa8	2,012	2011-11-10	230	2012-06-27	PG-PR	Si	2011-11-10	2011-11-10	2012-06-27	2012-06-27	2012-06-27	2012-06-27	2015-12-16	2015-12-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
940597fc6c08a23433a723979cb4aaec	2,015	2010-12-10	1,631	2015-05-29	PG-PAI	Si	2010-12-10	2010-12-10	2010-12-10	2012-03-06	2012-08-01	2012-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
941f14540640ee3bb7f9e2333372b91b	2,018	2015-05-01	1,126	2018-05-31	PG-PAB	Si	2013-07-02	2013-07-02	2015-05-01	2015-05-01	2015-05-01	2015-05-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
941f14540640ee3bb7f9e2333372b91b	2,014	2013-07-02	332	2014-05-30	PG-PAB	Si	2013-07-02	2013-07-02	2015-05-01	2015-05-01	2015-05-01	2015-05-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
94336504f1070c9296ba469ea6ec8492	2,016	2013-09-02	1,191	2016-12-06	PG-PAB	Si	2013-09-02	2013-09-02	2013-09-02	2013-09-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
953cba387081a0eca8b5683427dc3a2c	2,016	2013-08-30	1,097	2016-08-31	PG-PAI	Si	2013-08-30	2013-08-30	2013-08-30	2013-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
954fff09d2582e007f059cc4b9cc6d51	2,017	2017-01-29	317	2017-12-12	PG-PAI	Si	2012-09-04	2012-09-04	2012-09-04	2012-09-04	2012-09-04	2017-01-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
954fff09d2582e007f059cc4b9cc6d51	2,016	2012-09-04	1,274	2016-03-01	PG-PAI	Si	2012-09-04	2012-09-04	2012-09-04	2012-09-04	2012-09-04	2017-01-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
95fe4a4c69e4d0423e62953524f921b9	2,010	2010-04-16	1,355	2013-12-31	PG-PAB	Si	2010-04-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
96019dc5bcf6736bacfa3fe5b574b5ba	2,015	2015-03-30	364	2016-03-28	PG-PAI	Si	2011-12-13	2015-03-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
96019dc5bcf6736bacfa3fe5b574b5ba	2,011	2011-12-13	1,203	2015-03-30	PG-PAB	Si	2011-12-13	2015-03-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
960bb3855cab20534ad9d6c103114686	2,012	2007-07-27	1,833	2012-08-02	PG-PAB	Si	2007-07-27	2007-07-27	2007-07-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
966f0cc838650444597d18f89d0cd317	2,014	2011-01-27	1,096	2014-01-27	PG-PAI	No	2011-01-27	2011-01-27	2011-01-27	2011-01-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
968156980f21585a62e56e7d1103adde	2,010	2009-10-08	2,276	2016-01-01	PG-PAB	No	2009-10-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
96f36bb264e0aa44795e25b6a7842d66	2,019	2018-10-09	NA	NA	PG-PAI	Si	2008-09-09	2008-09-09	2008-09-09	2018-10-09	2018-10-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
96f36bb264e0aa44795e25b6a7842d66	2,012	2008-09-09	1,417	2012-07-27	PG-PAI	Si	2008-09-09	2008-09-09	2008-09-09	2018-10-09	2018-10-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
98274e3737db01c310fdbd5431dfd665	2,019	2018-03-01	NA	NA	M-PAI	Si	2007-10-10	2007-10-10	2011-04-06	2011-04-06	2011-04-06	2018-03-01	2018-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
98274e3737db01c310fdbd5431dfd665	2,011	2007-10-10	1,388	2011-07-29	PG-PAB	Si	2007-10-10	2007-10-10	2011-04-06	2011-04-06	2011-04-06	2018-03-01	2018-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
98721105180914c95421334ddbb486db	2,015	2012-06-15	1,116	2015-07-06	PG-PAI	Si	2012-06-15	2012-06-15	2012-06-15	2012-06-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
987463b1d657de4e9676da79454321a9	2,017	2012-12-21	1,712	2017-08-29	PG-PAB	Si	2012-12-21	2012-12-21	2012-12-21	2012-12-21	2012-12-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
98c97a5f0874970fac6978c01075c44b	2,011	2011-04-01	108	2011-07-18	PG-PAB	Si	2000-01-01	2000-01-01	2009-10-05	2011-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
98c97a5f0874970fac6978c01075c44b	2,011	2000-01-01	4,056	2011-02-08	M-PR	Si	2000-01-01	2000-01-01	2009-10-05	2011-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
98dfa75ccffe0132581fa3739f27d34b	2,010	2009-09-03	2,311	2016-01-01	PG-PAB	No	2009-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
98fe036f9a6be81a2724b3f982935be1	2,018	2018-01-31	83	2018-04-24	PG-PAI	Si	2008-05-05	2008-05-05	2012-06-11	2014-04-11	2014-04-11	2018-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
98fe036f9a6be81a2724b3f982935be1	2,015	2014-04-11	567	2015-10-30	PG-PAI	Si	2008-05-05	2008-05-05	2012-06-11	2014-04-11	2014-04-11	2018-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
98fe036f9a6be81a2724b3f982935be1	2,012	2012-06-11	143	2012-11-01	PG-PR	Si	2008-05-05	2008-05-05	2012-06-11	2014-04-11	2014-04-11	2018-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
98fe036f9a6be81a2724b3f982935be1	2,011	2008-05-05	1,336	2012-01-01	PG-PAI	Si	2008-05-05	2008-05-05	2012-06-11	2014-04-11	2014-04-11	2018-01-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
9901feda68134421f8fbd27e3aeca580	2,016	2013-04-19	1,169	2016-07-01	PG-PAI	Si	2011-10-01	2012-01-06	2012-05-01	2013-04-19	2013-04-19	2013-04-19	2013-04-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
9901feda68134421f8fbd27e3aeca580	2,012	2012-05-01	259	2013-01-15	PG-PAI	Si	2011-10-01	2012-01-06	2012-05-01	2013-04-19	2013-04-19	2013-04-19	2013-04-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
9901feda68134421f8fbd27e3aeca580	2,012	2012-01-06	97	2012-04-12	PG-PR	Si	2011-10-01	2012-01-06	2012-05-01	2013-04-19	2013-04-19	2013-04-19	2013-04-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
9901feda68134421f8fbd27e3aeca580	2,011	2011-10-01	80	2011-12-20	PG-PAI	Si	2011-10-01	2012-01-06	2012-05-01	2013-04-19	2013-04-19	2013-04-19	2013-04-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
990d8208e84bdb8e7a8f0c0f0535146e	2,019	2017-11-06	526	2019-04-16	PG-PAI	Si	2008-07-08	2009-08-06	2010-11-24	2010-12-20	2017-11-06	2017-11-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
990d8208e84bdb8e7a8f0c0f0535146e	2,012	2009-08-06	1,149	2012-09-28	PG-PAB	Si	2008-07-08	2009-08-06	2010-11-24	2010-12-20	2017-11-06	2017-11-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
990d8208e84bdb8e7a8f0c0f0535146e	2,011	2008-07-08	394	2009-08-06	PG-PAB	Si	2008-07-08	2009-08-06	2010-11-24	2010-12-20	2017-11-06	2017-11-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
9a070f4fb4d6cd87b6b15c93054ae913	2,015	2011-11-24	1,320	2015-07-06	PG-PAI	Si	2011-11-24	2011-11-24	2011-11-24	2011-11-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9aed49484c49900760cfa29baa368ce2	2,019	2019-03-15	108	2019-07-01	PG-PAB	Si	2013-02-27	2013-02-27	2019-03-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9aed49484c49900760cfa29baa368ce2	2,016	2013-02-27	1,279	2016-08-29	PG-PAI	Si	2013-02-27	2013-02-27	2019-03-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9afe419a2e8263304c03437a1615eb2c	2,016	2015-10-19	366	2016-10-19	PG-PAB	Si	2011-10-10	2014-01-28	2015-10-19	2015-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9afe419a2e8263304c03437a1615eb2c	2,014	2011-10-10	1,123	2014-11-06	PG-PAB	Si	2011-10-10	2014-01-28	2015-10-19	2015-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9cc0767a482671f53122209e7b743052	2,017	2014-11-19	1,107	2017-11-30	PG-PAB	Si	2014-11-19	2014-11-19	2014-11-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9ccc086aa77bb021a70a04521e474a9e	2,016	2011-06-13	1,998	2016-12-01	PG-PAB	Si	2011-06-13	2011-06-13	2011-06-13	2011-06-13	2011-06-13	2011-06-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9cd03ec769a588f295b02feabd5b69b0	2,012	2008-02-08	1,753	2012-11-26	PG-PAB	Si	2008-02-08	2008-02-08	2008-02-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9cd45478284854483c6276b5938abccd	2,011	2011-08-04	1,246	2015-01-01	PG-PR	Si	2011-08-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
9d4abe8043aa2945acaf1d6f697a5b02	2,018	2017-03-20	393	2018-04-17	PG-PAB	Si	2013-09-02	2013-09-02	2013-09-02	2013-09-02	2017-03-20	2017-03-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9d4abe8043aa2945acaf1d6f697a5b02	2,016	2013-09-02	1,155	2016-10-31	PG-PAB	Si	2013-09-02	2013-09-02	2013-09-02	2013-09-02	2017-03-20	2017-03-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9d7267eac31ba1603df84c9ab17c52c2	2,019	2015-11-18	1,170	2019-01-31	PG-PAI	Si	2015-02-26	2015-11-18	2015-11-18	2015-11-18	2015-11-18	2015-11-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9d7267eac31ba1603df84c9ab17c52c2	2,015	2015-02-26	139	2015-07-15	PG-PR	Si	2015-02-26	2015-11-18	2015-11-18	2015-11-18	2015-11-18	2015-11-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9dc90a5529d0560697bc481ac9ab9fd3	2,016	2016-10-19	47	2016-12-05	PG-PAI	Si	2012-06-15	2016-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9dc90a5529d0560697bc481ac9ab9fd3	2,012	2012-06-15	1,295	2016-01-01	PG-PAB	Si	2012-06-15	2016-10-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9deebdb454d83b26bca39048eb2709dc	2,018	2016-03-02	761	2018-04-02	PG-PAI	Si	2011-06-27	2011-06-27	2016-03-02	2016-03-02	2016-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9deebdb454d83b26bca39048eb2709dc	2,012	2011-06-27	1,709	2016-03-01	PG-PAB	Si	2011-06-27	2011-06-27	2016-03-02	2016-03-02	2016-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
9f178a71435a034955d2a7b1dcc7542e	2,013	2012-04-17	1,245	2015-09-14	PG-PAB	Si	2012-04-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a024b11457988873bb664ef9b4031bbb	2,016	2013-01-08	1,270	2016-07-01	M-PR	Si	2013-01-08	2013-01-08	2013-01-08	2013-01-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a03591176287306dac395b687365e003	2,019	2015-07-24	1,368	2019-04-22	PG-PAI	Si	2015-07-24	2015-07-24	2015-07-24	2015-07-24	2015-07-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a0419c2c71c97fc9eb9e69418db4a04d	2,016	2013-12-02	1,150	2017-01-25	PG-PAI	No	2013-02-27	2013-12-02	2013-12-02	2013-12-02	2013-12-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a0419c2c71c97fc9eb9e69418db4a04d	2,013	2013-02-27	278	2013-12-02	PG-PAB	Si	2013-02-27	2013-12-02	2013-12-02	2013-12-02	2013-12-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a0946b6874010b88f12eb14c2d15b8a1	2,019	2014-06-09	1,818	2019-06-01	PG-PAI	Si	2013-12-17	2014-06-09	2014-06-09	2014-06-09	2014-06-09	2014-06-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a0946b6874010b88f12eb14c2d15b8a1	2,014	2013-12-17	34	2014-01-20	PG-PAB	No	2013-12-17	2014-06-09	2014-06-09	2014-06-09	2014-06-09	2014-06-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a12c23937c7f7dd25992305f07a5b785	2,012	2009-04-23	1,196	2012-08-01	PG-PAI	Si	2009-04-23	2009-04-23	2009-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a1429644d016fe78a4c0728bc55f9110	2,019	2019-08-01	90	2019-10-30	PG-PAI	Si	2009-07-27	2009-07-27	2009-07-27	2009-07-27	2016-06-16	2017-03-08	2019-05-16	2019-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
a1429644d016fe78a4c0728bc55f9110	2,019	2019-05-16	69	2019-07-24	PG-PAI	Si	2009-07-27	2009-07-27	2009-07-27	2009-07-27	2016-06-16	2017-03-08	2019-05-16	2019-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
a1429644d016fe78a4c0728bc55f9110	2,017	2017-03-08	205	2017-09-29	PG-PAI	Si	2009-07-27	2009-07-27	2009-07-27	2009-07-27	2016-06-16	2017-03-08	2019-05-16	2019-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
a1429644d016fe78a4c0728bc55f9110	2,016	2016-06-16	13	2016-06-29	PG-PAI	Si	2009-07-27	2009-07-27	2009-07-27	2009-07-27	2016-06-16	2017-03-08	2019-05-16	2019-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
a1429644d016fe78a4c0728bc55f9110	2,013	2009-07-27	1,316	2013-03-04	PG-PAI	Si	2009-07-27	2009-07-27	2009-07-27	2009-07-27	2016-06-16	2017-03-08	2019-05-16	2019-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
a178a5392a78945db5fa5aaf889846ce	2,016	2013-04-29	1,261	2016-10-11	PG-PAI	Si	2013-04-29	2013-04-29	2013-04-29	2013-04-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a1fab50f7a702f3010e8659ff5776f1b	2,017	2017-02-22	170	2017-08-11	PG-PAI	Si	2011-09-01	2011-09-01	2011-09-01	2011-09-01	2011-09-01	2017-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a1fab50f7a702f3010e8659ff5776f1b	2,015	2011-09-01	1,455	2015-08-26	PG-PAI	Si	2011-09-01	2011-09-01	2011-09-01	2011-09-01	2011-09-01	2017-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a26cf12e0f1952ba374eecef9fe14c16	2,018	2018-10-05	69	2018-12-13	M-PAI	Si	2010-09-29	2010-09-29	2015-06-08	2018-10-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
a26cf12e0f1952ba374eecef9fe14c16	2,015	2015-06-08	45	2015-07-23	M-PAI	Si	2010-09-29	2010-09-29	2015-06-08	2018-10-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
a26cf12e0f1952ba374eecef9fe14c16	2,013	2010-09-29	1,148	2013-11-20	PG-PAB	Si	2010-09-29	2010-09-29	2015-06-08	2018-10-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
a470d9da2ab2288ba97c19797555a593	2,019	2018-10-23	233	2019-06-13	M-PAI	Si	2012-04-18	2012-04-18	2012-04-18	2012-04-18	2012-04-18	2018-10-23	2018-10-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a470d9da2ab2288ba97c19797555a593	2,016	2012-04-18	1,443	2016-03-31	PG-PAB	Si	2012-04-18	2012-04-18	2012-04-18	2012-04-18	2012-04-18	2018-10-23	2018-10-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a47f95e459f1ed604f08b34259cce763	2,019	2019-02-19	155	2019-07-24	PG-PAI	Si	2011-03-09	2011-03-09	2016-06-16	2016-06-16	2017-10-16	2017-10-16	2019-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a47f95e459f1ed604f08b34259cce763	2,018	2017-10-16	190	2018-04-24	PG-PAI	Si	2011-03-09	2011-03-09	2016-06-16	2016-06-16	2017-10-16	2017-10-16	2019-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a47f95e459f1ed604f08b34259cce763	2,017	2016-06-16	291	2017-04-03	PG-PAB	Si	2011-03-09	2011-03-09	2016-06-16	2016-06-16	2017-10-16	2017-10-16	2019-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a47f95e459f1ed604f08b34259cce763	2,014	2011-03-09	1,113	2014-03-26	PG-PAB	No	2011-03-09	2011-03-09	2016-06-16	2016-06-16	2017-10-16	2017-10-16	2019-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a48aa6a26aeee58e4cd2151bf646de2c	2,011	2008-08-28	1,216	2011-12-27	PG-PAI	Si	2008-08-28	2008-08-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a4a7da12ef437149fafebdd2bfb8703f	2,010	2008-04-14	1,171	2011-06-29	PG-PAB	Si	2008-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a587437460e4cafed1fdc513b984aaa8	2,019	2015-10-31	1,339	2019-07-01	PG-PAI	Si	2015-10-31	2015-10-31	2015-10-31	2015-10-31	2015-10-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a5b6a7719b2f3fd01c42fa56869054d4	2,019	2019-01-10	NA	NA	PG-PAI	Si	2013-09-27	2013-09-27	2013-09-27	2013-09-27	2017-06-16	2018-11-16	2019-01-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a5b6a7719b2f3fd01c42fa56869054d4	2,018	2018-11-16	47	2019-01-02	PG-PAB	Si	2013-09-27	2013-09-27	2013-09-27	2013-09-27	2017-06-16	2018-11-16	2019-01-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a5b6a7719b2f3fd01c42fa56869054d4	2,017	2017-06-16	179	2017-12-12	PG-PAI	Si	2013-09-27	2013-09-27	2013-09-27	2013-09-27	2017-06-16	2018-11-16	2019-01-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a5b6a7719b2f3fd01c42fa56869054d4	2,016	2013-09-27	1,131	2016-11-01	PG-PAI	Si	2013-09-27	2013-09-27	2013-09-27	2013-09-27	2017-06-16	2018-11-16	2019-01-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
a5f5c8e2e8471b32ee0d18f3c6c510a1	2,016	2013-07-01	1,157	2016-08-31	PG-PAI	Si	2013-07-01	2013-07-01	2013-07-01	2013-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a62e21cada248dc4b4ae87ae46008360	2,013	2010-10-15	1,161	2013-12-19	PG-PAI	No	2010-10-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a633802408cff532a2340184ee4dd473	2,011	2008-04-21	1,194	2011-07-29	PG-PAB	Si	2008-04-21	2008-04-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a679508cbbaef569f3df5d827e69873c	2,012	2009-01-27	1,247	2012-06-27	PG-PR	No	2009-01-27	2009-01-27	2009-01-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a68ab7bb8d20360cf099a0559dc43f63	2,013	2011-01-12	1,113	2014-01-29	PG-PAI	Si	2011-01-12	2011-01-12	2011-01-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a711a0b7a200afae67e533083b49f693	2,017	2012-09-01	1,766	2017-07-03	PG-PAB	Si	2012-09-01	2012-09-01	2012-09-01	2012-09-01	2012-09-01	2012-09-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a8206129be51e21cb3cfa79cba0e4221	2,013	2009-06-18	1,626	2013-11-30	PG-PAI	Si	2009-06-18	2009-06-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a8e6bcc84312a06c12c7dd89e38d50fb	2,011	2008-07-07	1,114	2011-07-26	PG-PAB	Si	2008-07-07	2008-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a9949ac542be3ad627559cb3cbce5131	2,016	2013-01-23	1,316	2016-08-31	PG-PAI	Si	2012-08-17	2013-01-23	2013-01-23	2013-01-23	2013-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a9949ac542be3ad627559cb3cbce5131	2,012	2012-08-17	25	2012-09-11	PG-PAB	Si	2012-08-17	2013-01-23	2013-01-23	2013-01-23	2013-01-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
a9953c36076da9c87b9aa4c8289bb2c6	2,015	2010-11-30	1,549	2015-02-26	PG-PAI	Si	2010-11-30	2010-11-30	2010-11-30	2010-11-30	2010-11-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
a99d59c1e503a24e3784e00ffef83dac	2,017	2013-11-12	1,171	2017-01-26	PG-PAI	Si	2013-11-12	2013-11-12	2013-11-12	2013-11-12	2013-11-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
aa18ac8eca17b8e0143ee18857cd0179	2,015	2012-03-20	1,273	2015-09-14	PG-PAI	No	2012-03-20	2012-03-20	2012-03-20	2012-03-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
aa1d023414d7dcdc9ddd8c76adf476e4	2,012	2009-01-12	1,236	2012-06-01	PG-PAB	Si	2009-01-12	2009-01-12	2009-01-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
aa3a0805d52f94317e2b06fb77d307a0	2,017	2017-05-17	183	2017-11-16	M-PR	Si	2013-05-09	2014-03-28	2014-03-28	2014-03-28	2014-03-28	2017-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
aa3a0805d52f94317e2b06fb77d307a0	2,017	2014-03-28	1,145	2017-05-16	PG-PAI	Si	2013-05-09	2014-03-28	2014-03-28	2014-03-28	2014-03-28	2017-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
aa3a0805d52f94317e2b06fb77d307a0	2,013	2013-05-09	39	2013-06-17	PG-PAB	No	2013-05-09	2014-03-28	2014-03-28	2014-03-28	2014-03-28	2017-05-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
ab34d75a8c736ce82eaf6f9e70d37f7e	2,019	2019-04-23	100	2019-08-01	PG-PR	Si	2008-11-25	2008-11-25	2008-12-25	2008-12-25	2009-03-02	2011-03-07	2011-07-01	2013-05-10	2019-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ab34d75a8c736ce82eaf6f9e70d37f7e	2,013	2013-05-10	143	2013-09-30	PG-PAB	Si	2008-11-25	2008-11-25	2008-12-25	2008-12-25	2009-03-02	2011-03-07	2011-07-01	2013-05-10	2019-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ab34d75a8c736ce82eaf6f9e70d37f7e	2,012	2009-03-02	1,115	2012-03-21	PG-PAI	Si	2008-11-25	2008-11-25	2008-12-25	2008-12-25	2009-03-02	2011-03-07	2011-07-01	2013-05-10	2019-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ab34d75a8c736ce82eaf6f9e70d37f7e	2,012	2008-12-25	67	2009-03-02	PG-PAB	Si	2008-11-25	2008-11-25	2008-12-25	2008-12-25	2009-03-02	2011-03-07	2011-07-01	2013-05-10	2019-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ab34d75a8c736ce82eaf6f9e70d37f7e	2,011	2008-11-25	30	2008-12-25	PG-PAI	Si	2008-11-25	2008-11-25	2008-12-25	2008-12-25	2009-03-02	2011-03-07	2011-07-01	2013-05-10	2019-04-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abba5d10c358cb389916076a77a906b0	2,016	2015-01-01	455	2016-03-31	PG-PAI	Si	2009-09-15	2011-06-30	2011-06-30	2012-10-10	2012-10-10	2013-10-24	2014-02-26	2015-01-01	2015-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abba5d10c358cb389916076a77a906b0	2,014	2014-02-26	226	2014-10-10	PG-PAI	Si	2009-09-15	2011-06-30	2011-06-30	2012-10-10	2012-10-10	2013-10-24	2014-02-26	2015-01-01	2015-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abba5d10c358cb389916076a77a906b0	2,013	2013-10-24	97	2014-01-29	PG-PAI	Si	2009-09-15	2011-06-30	2011-06-30	2012-10-10	2012-10-10	2013-10-24	2014-02-26	2015-01-01	2015-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abba5d10c358cb389916076a77a906b0	2,013	2012-10-10	376	2013-10-21	PG-PR	Si	2009-09-15	2011-06-30	2011-06-30	2012-10-10	2012-10-10	2013-10-24	2014-02-26	2015-01-01	2015-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abba5d10c358cb389916076a77a906b0	2,012	2009-09-15	1,121	2012-10-10	PG-PAB	Si	2009-09-15	2011-06-30	2011-06-30	2012-10-10	2012-10-10	2013-10-24	2014-02-26	2015-01-01	2015-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
abe292c7951ff43ee1916002301cace1	2,018	2015-05-15	1,116	2018-06-04	PG-PAB	Si	2015-05-15	2015-05-15	2015-05-15	2015-05-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ac0432ab387cb7090145c4e76686734d	2,017	2017-06-02	152	2017-11-01	PG-PAI	Si	2013-03-13	2013-03-13	2013-03-13	2013-03-13	2013-03-13	2017-06-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
ac0432ab387cb7090145c4e76686734d	2,017	2013-03-13	1,534	2017-05-25	PG-PAB	Si	2013-03-13	2013-03-13	2013-03-13	2013-03-13	2013-03-13	2017-06-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
aca3f19e8e4a260d16d873d76aa33fe9	2,018	2013-08-01	1,673	2018-03-01	PG-PAI	Si	2013-08-01	2013-08-01	2013-08-01	2013-08-01	2013-08-01	2013-08-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ad16844e62fd0a0db5ddd59ccffccbf6	2,018	2013-10-03	1,636	2018-03-27	PG-PAI	Si	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2013-10-03	2013-10-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ada6825cfcb38207e5f8cda9fd9fb592	2,019	2019-06-17	NA	NA	M-PAI	Si	2010-01-25	2010-01-25	2011-07-27	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2019-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
ada6825cfcb38207e5f8cda9fd9fb592	2,016	2012-02-01	1,675	2016-09-02	M-PAI	Si	2010-01-25	2010-01-25	2011-07-27	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2019-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
ada6825cfcb38207e5f8cda9fd9fb592	2,011	2011-07-27	189	2012-02-01	PG-PAB	Si	2010-01-25	2010-01-25	2011-07-27	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2019-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
ada6825cfcb38207e5f8cda9fd9fb592	2,011	2010-01-25	521	2011-06-30	PG-PAB	No	2010-01-25	2010-01-25	2011-07-27	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2012-02-01	2019-06-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
ae0b5f8d4f031f98c492b4fd68cb6736	2,019	2019-01-01	NA	NA	PG-PAI	No	2007-09-10	2007-09-10	2011-11-15	2012-06-11	2012-06-11	2018-02-12	2019-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ae0b5f8d4f031f98c492b4fd68cb6736	2,018	2018-02-12	22	2018-03-06	PG-PR	Si	2007-09-10	2007-09-10	2011-11-15	2012-06-11	2012-06-11	2018-02-12	2019-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ae0b5f8d4f031f98c492b4fd68cb6736	2,013	2012-06-11	354	2013-05-31	PG-PR	Si	2007-09-10	2007-09-10	2011-11-15	2012-06-11	2012-06-11	2018-02-12	2019-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ae0b5f8d4f031f98c492b4fd68cb6736	2,012	2011-11-15	99	2012-02-22	PG-PR	No	2007-09-10	2007-09-10	2011-11-15	2012-06-11	2012-06-11	2018-02-12	2019-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ae0b5f8d4f031f98c492b4fd68cb6736	2,011	2007-09-10	1,281	2011-03-14	PG-PAI	Si	2007-09-10	2007-09-10	2011-11-15	2012-06-11	2012-06-11	2018-02-12	2019-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ae53955c775fd82185fea35d2f18157b	2,019	2019-05-13	NA	NA	PG-PAB	Si	2010-04-06	2011-03-08	2011-03-08	2011-03-08	2019-05-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
ae53955c775fd82185fea35d2f18157b	2,013	2011-03-08	1,302	2014-09-30	PG-PAB	Si	2010-04-06	2011-03-08	2011-03-08	2011-03-08	2019-05-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
ae53955c775fd82185fea35d2f18157b	2,010	2010-04-06	147	2010-08-31	PG-PAB	Si	2010-04-06	2011-03-08	2011-03-08	2011-03-08	2019-05-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
b0293d4780a41f591f58211b9486fe92	2,019	2018-04-12	NA	NA	PG-PAB	Si	2013-12-19	2013-12-19	2013-12-19	2013-12-19	2013-12-19	2018-04-12	2018-04-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b0293d4780a41f591f58211b9486fe92	2,017	2013-12-19	1,309	2017-07-20	PG-PAB	Si	2013-12-19	2013-12-19	2013-12-19	2013-12-19	2013-12-19	2018-04-12	2018-04-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b02ff8444a4c763ea79f4a70bd0915f0	2,016	2013-03-14	1,236	2016-08-01	PG-PAI	Si	2013-03-14	2013-03-14	2013-03-14	2013-03-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b1082cabeb7ffd7a730a644d8ed14906	2,019	2018-09-03	NA	NA	M-PAI	Si	2012-09-25	2012-09-25	2012-09-25	2012-09-25	2012-09-25	2018-09-03	2018-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b1082cabeb7ffd7a730a644d8ed14906	2,016	2012-09-25	1,406	2016-08-01	PG-PAB	Si	2012-09-25	2012-09-25	2012-09-25	2012-09-25	2012-09-25	2018-09-03	2018-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b11ac836ba1681c1ad68e2b33aecbd9f	2,010	2007-02-07	1,361	2010-10-30	PG-PAB	Si	2007-02-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b1f5f392f1a434c69a3c14e0969450c5	2,018	2015-08-13	1,219	2018-12-14	PG-PAI	Si	2015-08-13	2015-08-13	2015-08-13	2015-08-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b2c65da5a2cc336868453ad5058becfa	2,016	2015-07-27	224	2016-03-07	PG-PAI	Si	2012-05-05	2012-05-05	2012-05-05	2015-07-27	2015-07-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b2c65da5a2cc336868453ad5058becfa	2,015	2012-05-05	1,119	2015-05-29	PG-PAB	Si	2012-05-05	2012-05-05	2012-05-05	2015-07-27	2015-07-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b2c82d4ab9c5101625619b422ed6eeaf	2,019	2014-09-15	1,781	2019-08-01	PG-PR	No	2014-09-15	2014-09-15	2014-09-15	2014-09-15	2014-09-15	2014-09-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b3429b5f111b4ec23eab2f15a6b702fc	2,011	2007-11-29	1,265	2011-05-17	PG-PAI	Si	2007-11-29	2007-11-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b3b0df07fb8c2fc8f73a50248f8bf2fd	2,019	2018-08-17	201	2019-03-06	PG-PAI	Si	2011-05-11	2011-05-11	2011-05-11	2011-05-11	2018-08-17	2018-08-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b3b0df07fb8c2fc8f73a50248f8bf2fd	2,014	2011-05-11	1,177	2014-07-31	PG-PAI	Si	2011-05-11	2011-05-11	2011-05-11	2011-05-11	2018-08-17	2018-08-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b455216229eaf482d300bdaca21d0578	2,017	2016-01-15	502	2017-05-31	M-PR	Si	2012-07-03	2012-07-03	2012-07-03	2016-01-15	2016-01-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b455216229eaf482d300bdaca21d0578	2,015	2012-07-03	1,184	2015-09-30	M-PR	Si	2012-07-03	2012-07-03	2012-07-03	2016-01-15	2016-01-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b4ed4745b5023b845a49f2c2c67f185b	2,013	2010-01-28	1,313	2013-09-02	PG-PAI	Si	2010-01-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b51adcbeeae05f165f000a8bee03546a	2,011	2011-11-02	1,156	2015-01-01	PG-PR	Si	2011-11-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b52ad266703283ca69a5863e98d2b574	2,012	2007-04-25	1,960	2012-09-05	PG-PAI	Si	2007-04-25	2007-04-25	2007-04-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b63a2553e9dd973be3fbe7d4816c5e40	2,014	2011-12-19	1,109	2015-01-01	PG-PAB	Si	2011-12-19	2011-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b6fc7f1cd98e1558889f74c8b3f3e279	2,015	2012-03-07	1,246	2015-08-05	PG-PAB	Si	2012-03-07	2012-03-07	2012-03-07	2012-03-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b7554dc459c08dad569578d098ab8a14	2,016	2013-08-30	1,098	2016-09-01	PG-PAI	Si	2013-08-30	2013-08-30	2013-08-30	2013-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b832aa7c47988ad3ac8220406f361998	2,012	2009-06-18	1,253	2012-11-22	PG-PAI	Si	2009-06-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b8993d6b6f03c400f309e97e925f075a	2,016	2013-03-05	1,128	2016-04-06	PG-PAB	Si	2013-03-05	2013-03-05	2013-03-05	2013-03-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b91e360063871883252f0a5a7e12f3ea	2,010	2009-08-10	1,604	2013-12-31	PG-PAB	Si	2009-08-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b93f59002a558d11e56f0e2071917a80	2,012	2009-05-04	1,216	2012-09-01	PG-PAB	Si	2009-05-04	2009-05-04	2009-05-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
b96d5152af1bb49cb7a2028898fab625	2,018	2014-10-09	1,401	2018-08-10	PG-PAI	Si	2010-12-17	2010-12-17	2010-12-17	2014-10-09	2014-10-09	2014-10-09	2014-10-09	2014-10-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b96d5152af1bb49cb7a2028898fab625	2,013	2010-12-17	777	2013-02-01	PG-PAI	Si	2010-12-17	2010-12-17	2010-12-17	2014-10-09	2014-10-09	2014-10-09	2014-10-09	2014-10-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b96dcd09e86f767632da0cb0dea32f83	2,018	2018-05-03	89	2018-07-31	PG-PAB	Si	2007-01-18	2018-05-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
b96dcd09e86f767632da0cb0dea32f83	2,010	2007-01-18	1,238	2010-06-09	PG-PAB	Si	2007-01-18	2018-05-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
ba225dad867cffb84a746605c6db22a1	2,019	2016-04-01	1,155	2019-05-31	PG-PAB	Si	2016-04-01	2016-04-01	2016-04-01	2016-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ba3c015cfe148fe942f0f697143bdace	2,017	2014-03-12	1,207	2017-07-01	PG-PAB	Si	2014-03-12	2014-03-12	2014-03-12	2014-03-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
baa162872993dd71a4a4a63e67a2d10d	2,018	2015-02-11	1,328	2018-10-01	M-PAI	Si	2012-06-11	2012-09-12	2013-02-06	2013-02-06	2015-02-11	2015-02-11	2015-02-11	2015-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
baa162872993dd71a4a4a63e67a2d10d	2,014	2013-02-06	723	2015-01-30	PG-PAB	Si	2012-06-11	2012-09-12	2013-02-06	2013-02-06	2015-02-11	2015-02-11	2015-02-11	2015-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
baa162872993dd71a4a4a63e67a2d10d	2,012	2012-09-12	57	2012-11-08	M-PR	Si	2012-06-11	2012-09-12	2013-02-06	2013-02-06	2015-02-11	2015-02-11	2015-02-11	2015-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
baa162872993dd71a4a4a63e67a2d10d	2,012	2012-06-11	63	2012-08-13	PG-PAB	Si	2012-06-11	2012-09-12	2013-02-06	2013-02-06	2015-02-11	2015-02-11	2015-02-11	2015-02-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4
bac040c54a030bf283c4f4122face15b	2,015	2011-02-02	1,714	2015-10-13	PG-PAI	Si	2010-06-08	2010-06-08	2011-02-02	2011-02-02	2011-02-02	2011-02-02	2011-02-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bac040c54a030bf283c4f4122face15b	2,011	2010-06-08	238	2011-02-01	PG-PAB	Si	2010-06-08	2010-06-08	2011-02-02	2011-02-02	2011-02-02	2011-02-02	2011-02-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bbaeb72e0ba2b84267428c431c3ac226	2,014	2011-06-08	1,286	2014-12-15	M-PAI	Si	2010-02-01	2010-05-25	2010-05-25	2011-06-08	2011-06-08	2011-06-08	2011-06-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bbaeb72e0ba2b84267428c431c3ac226	2,011	2010-05-25	258	2011-02-07	M-PAI	Si	2010-02-01	2010-05-25	2010-05-25	2011-06-08	2011-06-08	2011-06-08	2011-06-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bbaeb72e0ba2b84267428c431c3ac226	2,010	2010-02-01	77	2010-04-19	M-PR	Si	2010-02-01	2010-05-25	2010-05-25	2011-06-08	2011-06-08	2011-06-08	2011-06-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bbf766976354b6eea09146de6ad2b3b6	2,019	2015-06-26	1,526	2019-08-30	PG-PAI	Si	2015-06-26	2015-06-26	2015-06-26	2015-06-26	2015-06-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
bc83c999ee04a1394f9c38e476b328a1	2,014	2009-11-20	1,620	2014-04-28	PG-PR	No	2009-11-20	2009-11-20	2009-11-20	2009-11-20	2009-11-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
bcb4e6f98cd429515059d5ba02218717	2,018	2018-09-11	10	2018-09-21	PG-PR	Si	2015-03-17	2015-03-17	2015-03-17	2015-03-17	2018-09-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bcb4e6f98cd429515059d5ba02218717	2,018	2015-03-17	1,273	2018-09-10	PG-PAI	Si	2015-03-17	2015-03-17	2015-03-17	2015-03-17	2018-09-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bcdc5a0d85c6fff12d3e6640ab35cd15	2,018	2015-03-03	1,332	2018-10-25	M-PAI	Si	2009-11-18	2013-09-25	2013-09-25	2013-09-25	2015-03-03	2015-03-03	2015-03-03	2015-03-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bcdc5a0d85c6fff12d3e6640ab35cd15	2,015	2013-09-25	502	2015-02-09	PG-PAI	Si	2009-11-18	2013-09-25	2013-09-25	2013-09-25	2015-03-03	2015-03-03	2015-03-03	2015-03-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bcdc5a0d85c6fff12d3e6640ab35cd15	2,010	2009-11-18	378	2010-12-01	PG-PAB	Si	2009-11-18	2013-09-25	2013-09-25	2013-09-25	2015-03-03	2015-03-03	2015-03-03	2015-03-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
bd7208e2b2fd47fd7d51ae7b02e64a84	2,012	2012-05-02	261	2013-01-18	M-PAI	Si	2007-11-26	2007-11-26	2012-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bd7208e2b2fd47fd7d51ae7b02e64a84	2,011	2007-11-26	1,346	2011-08-03	M-PAI	Si	2007-11-26	2007-11-26	2012-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bd9a8896eea9f5ca9fa98e5f2d18be3f	2,019	2015-03-31	1,490	2019-04-29	PG-PAI	Si	2015-03-31	2015-03-31	2015-03-31	2015-03-31	2015-03-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
bdf003e416509a0ab01e43d312dbf87e	2,011	2008-12-19	1,138	2012-01-31	PG-PAI	Si	2008-02-19	2008-02-19	2008-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bdf003e416509a0ab01e43d312dbf87e	2,011	2008-02-19	304	2008-12-19	PG-PAB	Si	2008-02-19	2008-02-19	2008-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
bf5c6b44563daff26908f1de59549174	2,018	2013-12-03	1,519	2018-01-30	PG-PAI	Si	2013-12-03	2013-12-03	2013-12-03	2013-12-03	2013-12-03	2013-12-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
bf644a1587bf9f4e3b935ba9b6167bad	2,011	2008-05-13	1,175	2011-08-01	PG-PAI	Si	2008-05-13	2008-05-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c0cafbee12119aecb0a4d51f36308247	2,016	2012-10-24	1,511	2016-12-13	M-PAI	Si	2012-10-24	2012-10-24	2012-10-24	2012-10-24	2012-10-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c125160b70ec0245cde25b2512f7b220	2,011	2011-12-19	1,474	2016-01-01	PG-PAB	Si	2010-02-25	2011-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c125160b70ec0245cde25b2512f7b220	2,010	2010-02-25	333	2011-01-24	PG-PAB	Si	2010-02-25	2011-12-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c1347171fdbaefd74711a878d287aa96	2,012	2009-11-30	1,113	2012-12-17	PG-PAB	No	2009-11-30	2009-11-30	2009-11-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c162a27dbcaf0557bc73ef1f08cefdc5	2,014	2011-03-10	1,208	2014-06-30	PG-PAB	Si	2011-03-04	2011-03-04	2011-03-10	2011-03-10	2011-03-10	2011-03-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c162a27dbcaf0557bc73ef1f08cefdc5	2,012	2011-03-04	6	2011-03-10	PG-PAB	Si	2011-03-04	2011-03-04	2011-03-10	2011-03-10	2011-03-10	2011-03-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c18955b63e967bc7f8778563da024e90	2,017	2014-04-14	1,176	2017-07-03	PG-PAB	Si	2014-04-14	2014-04-14	2014-04-14	2014-04-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c18c1609d35dea7d7da3e61ccf659851	2,011	2008-12-16	1,262	2012-05-31	PG-PAB	No	2008-12-16	2008-12-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c29c2946b33509682cf9ab9608812f60	2,015	2011-03-09	1,510	2015-04-27	PG-PAI	Si	2011-03-09	2011-03-09	2011-03-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c2b54e06e4dcbaf12bc47b42b1be2ae5	2,011	2010-10-07	1,912	2016-01-01	PG-PAB	Si	2010-10-07	2010-10-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c31b3dc2e4b3f48d5803e110f973dd13	2,011	2011-12-09	1,119	2015-01-01	PG-PAI	Si	2011-12-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c363ca4b5e870ea0ee6d4a9a451f5747	2,019	2015-09-14	1,297	2019-04-03	PG-PAI	Si	2015-09-14	2015-09-14	2015-09-14	2015-09-14	2015-09-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c3729c6063b71026c4559dc120bf38c4	2,015	2012-10-24	1,163	2015-12-31	PG-PAB	Si	2012-10-24	2012-10-24	2012-10-24	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c3d52588c4425b9c7b2bc2b5b2fd3044	2,019	2016-04-26	1,100	2019-05-01	PG-PAB	Si	2016-04-26	2016-04-26	2016-04-26	2016-04-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c51c83daed9a8038357336e701533d66	2,016	2012-12-28	1,312	2016-08-01	PG-PAB	Si	2012-12-28	2012-12-28	2012-12-28	2012-12-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c559373eb7c7beab7dc48b0532e91ff7	2,010	2007-08-08	1,230	2010-12-20	PG-PAI	Si	2007-08-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c5a6b883558a303b2bd89d06efcc36d9	2,018	2016-11-08	610	2018-07-11	PG-PAB	Si	2013-03-20	2013-03-20	2013-03-20	2013-03-20	2016-11-08	2016-11-08	2016-11-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c5a6b883558a303b2bd89d06efcc36d9	2,016	2013-03-20	1,265	2016-09-05	PG-PAB	Si	2013-03-20	2013-03-20	2013-03-20	2013-03-20	2016-11-08	2016-11-08	2016-11-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c662562f78106146af9ca4ae64a64221	2,016	2012-05-02	1,405	2016-03-07	PG-PAB	Si	2012-05-02	2012-05-02	2012-05-02	2012-05-02	2012-05-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c6a0c6b771e927c550015a50257468ca	2,011	2007-03-02	1,518	2011-04-28	PG-PR	No	2007-03-02	2007-03-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c70902ac6d18e260bf1df280b128a00f	2,013	2012-03-29	1,377	2016-01-05	PG-PAI	Si	2012-03-29	2012-03-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c72963d0c559728326c4d8f6f3d24990	2,018	2012-08-31	2,008	2018-03-01	PG-PAI	Si	2012-08-31	2012-08-31	2012-08-31	2012-08-31	2012-08-31	2012-08-31	2012-08-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c75b7bf5bf162751efa0e7649d8773f7	2,016	2009-12-14	2,453	2016-09-01	PG-PAI	Si	2009-12-14	2009-12-14	2009-12-14	2009-12-14	2009-12-14	2009-12-14	2009-12-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c7760160194101d8e0fd49df30de0e8d	2,010	2009-07-13	2,363	2016-01-01	PG-PAB	No	2009-07-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c85547508be189df8604031e52e62c0b	2,018	2015-06-01	1,247	2018-10-30	PG-PAI	Si	2015-06-01	2015-06-01	2015-06-01	2015-06-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c87466931290f44c2c6a89bd127d31e5	2,018	2015-03-20	1,261	2018-09-01	PG-PAI	Si	2013-05-22	2015-03-20	2015-03-20	2015-03-20	2015-03-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c87466931290f44c2c6a89bd127d31e5	2,013	2013-05-22	72	2013-08-02	PG-PR	Si	2013-05-22	2015-03-20	2015-03-20	2015-03-20	2015-03-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
c911118a994978e32b657b6d033f60f7	2,017	2013-04-15	1,380	2017-01-24	PG-PAB	Si	2013-04-15	2013-04-15	2013-04-15	2013-04-15	2013-04-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c938a865887db220d84af5d9d05d8ae3	2,019	2016-04-28	1,180	2019-07-22	PG-PAI	Si	2016-04-28	2016-04-28	2016-04-28	2016-04-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c979c5dbb8449c6cda379abe23f21c43	2,019	2015-11-18	1,328	2019-07-08	PG-PAI	Si	2015-11-18	2015-11-18	2015-11-18	2015-11-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c989363c0ae6cb79011b8460e6f2a58f	2,011	2011-02-22	1,774	2016-01-01	PG-PAI	Si	2011-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
c98e9699bd66732e6094987497d16f82	2,018	2014-02-04	1,486	2018-03-01	PG-PAI	Si	2014-02-04	2014-02-04	2014-02-04	2014-02-04	2014-02-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ca7c95d42bf58eb75051028d9b6dfe97	2,010	2008-05-29	1,126	2011-06-29	PG-PAB	Si	2008-05-29	2009-12-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
cb793e4749e9ace23d7a26e9ac4c200e	2,010	2009-12-07	2,216	2016-01-01	PG-PAB	No	2009-12-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
cb834c203108a1fe886e6d0da2ca947f	2,015	2011-07-12	1,329	2015-03-02	PG-PAI	Si	2010-02-04	2011-07-12	2011-07-12	2011-07-12	2011-07-12	2011-07-12	2011-07-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
cb834c203108a1fe886e6d0da2ca947f	2,011	2010-02-04	481	2011-05-31	PG-PAB	Si	2010-02-04	2011-07-12	2011-07-12	2011-07-12	2011-07-12	2011-07-12	2011-07-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
ce60b549bbc1ffdd9434016d1bcd8e6f	2,018	2015-01-12	1,211	2018-05-07	PG-PAB	Si	2015-01-12	2015-01-12	2015-01-12	2015-01-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ce6eb50d24bc88ec0751d02898bcdf23	2,018	2018-10-02	122	2019-02-01	PG-PAI	No	2009-08-17	2009-08-30	2011-01-03	2011-01-03	2013-06-06	2014-01-06	2014-01-06	2014-01-06	2018-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ce6eb50d24bc88ec0751d02898bcdf23	2,016	2014-01-06	1,040	2016-11-11	PG-PAI	Si	2009-08-17	2009-08-30	2011-01-03	2011-01-03	2013-06-06	2014-01-06	2014-01-06	2014-01-06	2018-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ce6eb50d24bc88ec0751d02898bcdf23	2,013	2013-06-06	214	2014-01-06	PG-PAB	Si	2009-08-17	2009-08-30	2011-01-03	2011-01-03	2013-06-06	2014-01-06	2014-01-06	2014-01-06	2018-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ce6eb50d24bc88ec0751d02898bcdf23	2,012	2009-08-30	1,290	2013-03-12	PG-PAB	Si	2009-08-17	2009-08-30	2011-01-03	2011-01-03	2013-06-06	2014-01-06	2014-01-06	2014-01-06	2018-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
ce6eb50d24bc88ec0751d02898bcdf23	2,010	2009-08-17	13	2009-08-30	PG-PAB	Si	2009-08-17	2009-08-30	2011-01-03	2011-01-03	2013-06-06	2014-01-06	2014-01-06	2014-01-06	2018-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	5
cf84489a613f60c9c51811667e9b0f01	2,011	2011-06-21	1,655	2016-01-01	PG-PAB	Si	2011-06-21	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
cfd6e05f130bf5e61a576c2b664397aa	2,011	2007-05-07	1,365	2011-01-31	PG-PAB	Si	2007-05-07	2007-05-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d0c026aa8c898e9fe9d556b282aa1936	2,010	2009-05-08	2,429	2016-01-01	PG-PAB	No	2009-05-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d223cd142e9422c57a6d20ad4da8f0f3	2,011	2011-11-04	1,519	2016-01-01	PG-PAB	Si	2011-11-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d37251326bd3fe5c50b9877770ef38e3	2,012	2009-12-01	1,108	2012-12-13	PG-PAI	Si	2009-09-28	2009-09-28	2009-12-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d37251326bd3fe5c50b9877770ef38e3	2,010	2009-09-28	64	2009-12-01	PG-PAI	Si	2009-09-28	2009-09-28	2009-12-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d3bde0ec29e871d6306181e1514c2c1f	2,014	2010-07-27	1,402	2014-05-29	PG-PAI	Si	2010-07-27	2010-07-27	2010-07-27	2010-07-27	2010-07-27	2010-07-27	2010-07-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d4bbe6468ffaa45448fe3454424c2feb	2,017	2016-05-09	494	2017-09-15	M-PAI	Si	2009-04-06	2009-04-06	2009-04-06	2009-04-06	2015-12-14	2015-12-14	2016-05-09	2016-05-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d4bbe6468ffaa45448fe3454424c2feb	2,016	2015-12-14	137	2016-04-29	PG-PAB	Si	2009-04-06	2009-04-06	2009-04-06	2009-04-06	2015-12-14	2015-12-14	2016-05-09	2016-05-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d4bbe6468ffaa45448fe3454424c2feb	2,012	2009-04-06	1,381	2013-01-16	PG-PAB	Si	2009-04-06	2009-04-06	2009-04-06	2009-04-06	2015-12-14	2015-12-14	2016-05-09	2016-05-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d52469d23b0377e8e648c4ca2ef5d3da	2,012	2001-06-26	3,888	2012-02-17	PG-PR	Si	2001-06-26	2001-06-26	2010-08-04	2010-08-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d55b26fcf3835a9aa7d67e70bb9ea25b	2,017	2013-11-20	1,160	2017-01-23	PG-PAI	Si	2013-11-20	2013-11-20	2013-11-20	2013-11-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d5e5a5be1450d62a414c3387b43dd7a7	2,011	2008-03-27	1,229	2011-08-08	PG-PAI	No	2008-03-27	2008-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d5e9c1517def2f086404d4701f9be365	2,010	2008-06-16	2,755	2016-01-01	PG-PAB	No	2008-06-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d613eddbf7f0b4d0bfedcb8f3612733e	2,017	2014-05-23	1,217	2017-09-21	PG-PAB	Si	2014-05-23	2014-05-23	2014-05-23	2014-05-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d653f6c82f19942b468c44b1668e7d31	2,016	2015-11-26	200	2016-06-13	PG-PAI	No	2008-06-26	2008-06-26	2008-06-26	2008-06-26	2008-06-26	2015-11-26	2015-11-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d653f6c82f19942b468c44b1668e7d31	2,014	2008-06-26	2,288	2014-10-01	PG-PAI	No	2008-06-26	2008-06-26	2008-06-26	2008-06-26	2008-06-26	2015-11-26	2015-11-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d68b3fe407d7995b386a8251fe320c8c	2,017	2014-07-07	1,152	2017-09-01	PG-PAB	Si	2014-07-07	2014-07-07	2014-07-07	2014-07-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d7a1b7daae55d236909b54dd900a5ddc	2,018	2014-10-29	1,161	2018-01-02	PG-PAI	Si	2014-10-29	2014-10-29	2014-10-29	2014-10-29	2014-10-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
d835d0e91b88b435f8038576bcaacfa2	2,019	2018-12-05	177	2019-05-31	PG-PAI	No	2010-05-06	2010-05-06	2010-05-06	2010-05-06	2018-12-05	2018-12-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d835d0e91b88b435f8038576bcaacfa2	2,013	2010-05-06	1,126	2013-06-05	PG-PAI	Si	2010-05-06	2010-05-06	2010-05-06	2010-05-06	2018-12-05	2018-12-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
d8ad299b31a4bae09c10ba196b1d1d01	2,017	2014-03-27	1,296	2017-10-13	PG-PAI	Si	2011-10-03	2011-10-03	2013-01-21	2013-01-21	2014-03-27	2014-03-27	2014-03-27	2014-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d8ad299b31a4bae09c10ba196b1d1d01	2,014	2013-01-21	406	2014-03-03	M-PAI	Si	2011-10-03	2011-10-03	2013-01-21	2013-01-21	2014-03-27	2014-03-27	2014-03-27	2014-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d8ad299b31a4bae09c10ba196b1d1d01	2,012	2011-10-03	249	2012-06-08	PG-PAI	Si	2011-10-03	2011-10-03	2013-01-21	2013-01-21	2014-03-27	2014-03-27	2014-03-27	2014-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
d8bd00140cd3dc1c1475a5d41060f499	2,014	2011-04-05	1,171	2014-06-19	PG-PAI	Si	2011-04-05	2011-04-05	2011-04-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dac882eecf8a23b3e44c7083e65d194e	2,016	2013-03-04	1,348	2016-11-11	PG-PAB	Si	2013-03-04	2013-03-04	2013-03-04	2013-03-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dafa4838a20d5380b2294fe27e911625	2,014	2010-03-01	1,674	2014-09-30	PG-PAB	Si	2008-12-10	2008-12-10	2008-12-10	2008-12-10	2008-12-12	2009-03-31	2010-03-01	2010-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
dafa4838a20d5380b2294fe27e911625	2,012	2009-03-31	335	2010-03-01	PG-PAI	Si	2008-12-10	2008-12-10	2008-12-10	2008-12-10	2008-12-12	2009-03-31	2010-03-01	2010-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
dafa4838a20d5380b2294fe27e911625	2,011	2008-12-10	111	2009-03-31	PG-PAI	Si	2008-12-10	2008-12-10	2008-12-10	2008-12-10	2008-12-12	2009-03-31	2010-03-01	2010-03-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
db101a94bd1035c5ee96f1deff406356	2,018	2013-10-01	1,680	2018-05-08	PG-PAB	Si	2013-10-01	2013-10-01	2013-10-01	2013-10-01	2013-10-01	2013-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dbb375b0717bf55f23751d0b1feb1580	2,010	2007-04-16	1,141	2010-05-31	PG-PAB	Si	2007-04-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dc564c300c91086ec7f0b3b3851ae802	2,016	2013-05-06	1,155	2016-07-04	PG-PAI	Si	2013-05-06	2013-05-06	2013-05-06	2013-05-06	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dc745f7a2fe1ef499cf33e342b37c70c	2,017	2013-11-04	1,190	2017-02-06	M-PAI	Si	2013-11-04	2013-11-04	2013-11-04	2013-11-04	2013-11-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
dd1f495f59c0c3fb8b424e14e3d22acd	2,015	2012-04-09	1,311	2015-11-11	PG-PAB	Si	2012-04-09	2012-04-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
de16417ca505e79d6d5035a403d0afa4	2,015	2010-08-30	1,674	2015-03-31	PG-PAI	Si	2009-09-24	2009-09-24	2010-08-30	2010-08-30	2010-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
de16417ca505e79d6d5035a403d0afa4	2,012	2009-09-24	340	2010-08-30	PG-PAB	Si	2009-09-24	2009-09-24	2010-08-30	2010-08-30	2010-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
de336b33ec71b68bfe34a3c02e011481	2,017	2014-02-25	1,310	2017-09-27	PG-PAB	Si	2014-02-25	2014-02-25	2014-02-25	2014-02-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
de372fa31e8ce7d34932b70cd02826b9	2,017	2013-05-16	1,512	2017-07-06	PG-PAB	Si	2013-05-16	2013-05-16	2013-05-16	2013-05-16	2013-05-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
df5122bd4f634e249b479f91c0c4d3c4	2,015	2012-05-08	1,149	2015-07-01	PG-PAI	Si	2011-05-13	2011-05-13	2012-05-08	2012-05-08	2012-05-08	2012-05-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
df5122bd4f634e249b479f91c0c4d3c4	2,012	2011-05-13	294	2012-03-02	PG-PAI	Si	2011-05-13	2011-05-13	2012-05-08	2012-05-08	2012-05-08	2012-05-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
df6b4e1f8d537da6db26118856071e4a	2,017	2013-08-30	1,279	2017-03-01	PG-PAB	Si	2009-04-22	2013-08-30	2013-08-30	2013-08-30	2013-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
df6b4e1f8d537da6db26118856071e4a	2,010	2009-04-22	310	2010-02-26	PG-PAI	Si	2009-04-22	2013-08-30	2013-08-30	2013-08-30	2013-08-30	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e02d0d3b3c181026fb28882747698934	2,016	2012-06-25	1,544	2016-09-16	PG-PAB	No	2012-06-25	2012-06-25	2012-06-25	2012-06-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e22ef7d8b0cf6e7afe58539263750bb4	2,011	2007-03-31	1,889	2012-06-01	PG-PAB	No	2007-03-31	2007-03-31	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e2dc0eddad9c4e1f5cac33f4aa9691f6	2,010	2008-01-01	1,096	2011-01-01	PG-PAI	Si	2008-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e336f12be5993330779d6df96abd8aea	2,019	2019-06-07	NA	NA	M-PAI	Si	2015-05-28	2015-05-28	2015-05-28	2015-05-28	2019-06-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e336f12be5993330779d6df96abd8aea	2,018	2015-05-28	1,222	2018-10-01	PG-PAI	Si	2015-05-28	2015-05-28	2015-05-28	2015-05-28	2019-06-07	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e353db1ab48aa8d994b1bcb74ec9865f	2,012	2012-11-14	1,454	2016-11-07	PG-PAI	Si	2012-08-08	2012-11-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e353db1ab48aa8d994b1bcb74ec9865f	2,012	2012-08-08	82	2012-10-29	PG-PR	Si	2012-08-08	2012-11-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e364b6b9033655e9fb42d8d2dfbc8d5c	2,011	2011-02-22	1,774	2016-01-01	PG-PAI	Si	2011-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e3c359ae12a9fa5fcf19164b2db760ce	2,017	2015-01-16	928	2017-08-01	PG-PAI	Si	2011-01-24	2011-01-24	2015-01-16	2015-01-16	2015-01-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e3c359ae12a9fa5fcf19164b2db760ce	2,014	2011-01-24	1,438	2015-01-01	PG-PAB	Si	2011-01-24	2011-01-24	2015-01-16	2015-01-16	2015-01-16	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e459ec50a221ef77e9a82bac1e321b4b	2,012	2009-09-30	1,161	2012-12-04	M-PAI	Si	2009-09-30	2009-09-30	2011-09-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e49e9697ab99fa008f5b3d564d5e8a67	2,018	2014-02-19	1,592	2018-06-30	PG-PAI	Si	2013-01-02	2014-02-19	2014-02-19	2014-02-19	2014-02-19	2014-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e49e9697ab99fa008f5b3d564d5e8a67	2,013	2013-01-02	152	2013-06-03	PG-PAB	Si	2013-01-02	2014-02-19	2014-02-19	2014-02-19	2014-02-19	2014-02-19	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e4d31210a6afbad60740c475f9f757c1	2,019	2015-04-28	1,498	2019-06-04	PG-PAB	Si	2015-04-28	2015-04-28	2015-04-28	2015-04-28	2015-04-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e55a6a60ac8da7422a958fd7e7489916	2,011	2011-11-04	1,154	2015-01-01	PG-PR	Si	2011-11-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e64e0360d4d8fe988ff2a9680b535627	2,014	2014-01-01	243	2014-09-01	PG-PAI	Si	2010-06-29	2014-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e64e0360d4d8fe988ff2a9680b535627	2,010	2010-06-29	1,281	2013-12-31	PG-PAB	Si	2010-06-29	2014-01-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e6a48ab90e2e463ea6167f99664ba014	2,019	2018-06-26	231	2019-02-12	PG-PAB	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,016	2016-08-03	68	2016-10-10	M-PR	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,015	2015-06-20	18	2015-07-08	M-PR	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,015	2015-01-02	168	2015-06-19	PG-PAI	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,015	2014-10-28	66	2015-01-02	M-PR	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,014	2014-06-26	124	2014-10-28	PG-PAI	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,013	2012-10-26	97	2013-01-31	PG-PR	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e6a48ab90e2e463ea6167f99664ba014	2,012	2008-11-28	1,371	2012-08-30	PG-PAB	Si	2008-11-28	2008-11-28	2010-01-25	2010-07-01	2010-07-01	2012-10-26	2012-10-26	2014-06-26	2014-10-28	2014-10-28	2015-01-02	2015-06-20	2016-08-03	2018-06-26	2018-06-26	NA	NA	NA	8
e71f6aaa306cb1433684343d25076748	2,019	2015-03-27	1,587	2019-07-31	PG-PAB	Si	2015-03-27	2015-03-27	2015-03-27	2015-03-27	2015-03-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e7ea588efb0aa39f86bdf658cb7e6800	2,013	2009-12-15	1,246	2013-05-14	PG-PAB	Si	2009-12-15	2009-12-15	2009-12-15	2009-12-15	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e80f0ee078b44f7a9446f91a52df6ef6	2,017	2013-02-28	1,636	2017-08-22	PG-PAI	Si	2013-02-28	2013-02-28	2013-02-28	2013-02-28	2013-02-28	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e865dcf28c3d96c747c53fd401eae435	2,010	2008-02-17	1,139	2011-04-01	PG-PAB	Si	2008-02-17	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e87e5308a869cd3f6ef0f01898f91aed	2,019	2019-07-10	NA	NA	PG-PAB	Si	2013-12-11	2013-12-11	2013-12-11	2013-12-11	2019-07-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e87e5308a869cd3f6ef0f01898f91aed	2,016	2013-12-11	1,142	2017-01-26	PG-PAI	Si	2013-12-11	2013-12-11	2013-12-11	2013-12-11	2019-07-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e8c664d26aa4ff2644471bc5ee5a0f58	2,016	2012-04-04	1,472	2016-04-15	PG-PAB	Si	2012-04-04	2012-04-04	2012-04-04	2012-04-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
e914a6a8e74ee9911e375b6f49838685	2,019	2018-05-14	444	2019-08-01	M-PAI	Si	2011-04-30	2015-06-23	2015-06-23	2018-05-14	2018-05-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
e914a6a8e74ee9911e375b6f49838685	2,016	2015-06-23	435	2016-08-31	M-PAI	Si	2011-04-30	2015-06-23	2015-06-23	2018-05-14	2018-05-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
e914a6a8e74ee9911e375b6f49838685	2,014	2011-04-30	1,272	2014-10-23	M-PAI	Si	2011-04-30	2015-06-23	2015-06-23	2018-05-14	2018-05-14	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
e92b705f0e2458f430defefc7ec44686	2,018	2015-01-13	1,141	2018-02-27	PG-PAI	Si	2014-08-01	2014-08-01	2015-01-13	2015-01-13	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
e92b705f0e2458f430defefc7ec44686	2,015	2014-08-01	165	2015-01-13	PG-PAB	Si	2014-08-01	2014-08-01	2015-01-13	2015-01-13	2015-01-13	2015-01-13	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
eabb390a97a458bf994eebda95a133c3	2,016	2013-07-05	1,184	2016-10-01	PG-PAB	Si	2013-07-05	2013-07-05	2013-07-05	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
eca0eaf407eb8a27d7481efff6e110e9	2,015	2012-07-20	1,167	2015-09-30	PG-PAI	Si	2012-07-20	2012-07-20	2012-07-20	2012-07-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ed41ed3c48b972cf9fd2fd533b501c70	2,017	2013-10-02	1,276	2017-03-31	PG-PAI	Si	2013-10-02	2013-10-02	2013-10-02	2013-10-02	2013-10-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ee97e850169f5e8bbf2205ce9edb96fb	2,010	2007-04-12	1,142	2010-05-28	M-PAI	Si	2007-04-12	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
eeb3cf510e93630781a74fe25ce0814b	2,011	2011-12-20	1,473	2016-01-01	PG-PAI	Si	2011-12-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
ef9631dc7fe00b9737c11d2d92b1243e	2,016	2015-08-25	203	2016-03-15	M-PR	Si	2011-02-01	2011-02-01	2011-02-01	2011-02-01	2014-10-01	2014-10-01	2015-08-25	2015-08-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
ef9631dc7fe00b9737c11d2d92b1243e	2,015	2014-10-01	328	2015-08-25	PG-PAI	Si	2011-02-01	2011-02-01	2011-02-01	2011-02-01	2014-10-01	2014-10-01	2015-08-25	2015-08-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
ef9631dc7fe00b9737c11d2d92b1243e	2,014	2011-02-01	1,124	2014-03-01	PG-PAI	Si	2011-02-01	2011-02-01	2011-02-01	2011-02-01	2014-10-01	2014-10-01	2015-08-25	2015-08-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
f063d33b90424325991b088845c38c82	2,016	2013-01-03	1,203	2016-04-20	PG-PAI	Si	2013-01-03	2013-01-03	2013-01-03	2013-01-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f0f660591ad0b5acdf16c4f99cd70671	2,018	2014-02-10	1,565	2018-05-25	PG-PAI	Si	2014-02-10	2014-02-10	2014-02-10	2014-02-10	2014-02-10	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f13c272b54a0842f6965010b185107f7	2,017	2012-04-19	1,742	2017-01-25	PG-PAB	Si	2012-04-19	2012-04-19	2012-04-19	2012-04-19	2012-04-19	2013-01-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f16ba56f27aa2d228b480c944c1a2933	2,014	2010-09-08	1,423	2014-08-01	PG-PAB	Si	2010-09-08	2010-09-08	2010-09-08	2010-09-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f187675be2b16176116281ecf51bf0ad	2,012	2009-03-25	1,225	2012-08-01	M-PAI	Si	2009-03-25	2009-03-25	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f1ab640d156d288064e10a4faee53258	2,018	2017-07-26	279	2018-05-01	PG-PAI	Si	2008-07-30	2008-07-30	2013-06-06	2017-07-26	2017-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
f1ab640d156d288064e10a4faee53258	2,013	2013-06-06	158	2013-11-11	PG-PAI	Si	2008-07-30	2008-07-30	2013-06-06	2017-07-26	2017-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
f1ab640d156d288064e10a4faee53258	2,011	2008-07-30	1,181	2011-10-24	PG-PAB	Si	2008-07-30	2008-07-30	2013-06-06	2017-07-26	2017-07-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3
f1df7566b6e5963d92eebd2f9c0288a6	2,019	2014-07-23	1,799	2019-06-26	PG-PAI	Si	2014-07-23	2014-07-23	2014-07-23	2014-07-23	2014-07-23	2014-07-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f27afa58f8c4bff287ff219ba7fbbf3d	2,013	2010-11-18	1,259	2014-04-30	PG-PAB	Si	2010-11-18	2010-11-18	2010-11-18	2010-11-18	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f2eff80114e92fb28bcb4d0ef475257a	2,016	2013-10-01	1,219	2017-02-01	PG-PAB	Si	2013-10-01	2013-10-01	2013-10-01	2013-10-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f413c82a0a53a4826cb48a8ec8dc278f	2,011	2008-12-01	1,100	2011-12-06	PG-PAI	Si	2008-12-01	2008-12-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f4f3aed1bb027ce4b5742d2cb7b09c38	2,016	2015-07-01	307	2016-05-03	PG-PAB	Si	2011-08-11	2011-08-11	2011-08-11	2011-08-11	2011-08-11	2015-07-01	2015-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
f4f3aed1bb027ce4b5742d2cb7b09c38	2,015	2011-08-11	1,419	2015-06-30	PG-PAI	Si	2011-08-11	2011-08-11	2011-08-11	2011-08-11	2011-08-11	2015-07-01	2015-07-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
f51f5c94a34ca97c689561f89d8cc248	2,018	2014-12-04	1,335	2018-07-31	PG-PAI	Si	2014-12-04	2014-12-04	2014-12-04	2014-12-04	2014-12-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f5594a3b6892e0650b7253789045ff66	2,013	2007-04-20	2,112	2013-01-30	PG-PAI	No	2007-04-20	2007-04-20	2007-04-20	2007-04-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f659e21171cdce8decb3c4aab7b68ebc	2,019	2015-10-29	1,250	2019-04-01	PG-PAI	No	2015-10-29	2015-10-29	2015-10-29	2015-10-29	2015-10-29	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f740f4ce9625ede2f99ee890c780aac5	2,018	2017-07-07	333	2018-06-05	M-PR	Si	2010-10-19	2010-10-19	2012-11-19	2012-11-19	2014-01-06	2014-01-06	2014-01-06	2014-01-06	2017-02-14	2017-07-07	2017-07-07	NA	NA	NA	NA	NA	NA	NA	5
f740f4ce9625ede2f99ee890c780aac5	2,017	2017-02-14	142	2017-07-06	PG-PAI	Si	2010-10-19	2010-10-19	2012-11-19	2012-11-19	2014-01-06	2014-01-06	2014-01-06	2014-01-06	2017-02-14	2017-07-07	2017-07-07	NA	NA	NA	NA	NA	NA	NA	5
f740f4ce9625ede2f99ee890c780aac5	2,017	2014-01-06	1,134	2017-02-13	PG-PAI	Si	2010-10-19	2010-10-19	2012-11-19	2012-11-19	2014-01-06	2014-01-06	2014-01-06	2014-01-06	2017-02-14	2017-07-07	2017-07-07	NA	NA	NA	NA	NA	NA	NA	5
f740f4ce9625ede2f99ee890c780aac5	2,013	2012-11-19	270	2013-08-16	PG-PAI	Si	2010-10-19	2010-10-19	2012-11-19	2012-11-19	2014-01-06	2014-01-06	2014-01-06	2014-01-06	2017-02-14	2017-07-07	2017-07-07	NA	NA	NA	NA	NA	NA	NA	5
f740f4ce9625ede2f99ee890c780aac5	2,011	2010-10-19	224	2011-05-31	M-PAI	Si	2010-10-19	2010-10-19	2012-11-19	2012-11-19	2014-01-06	2014-01-06	2014-01-06	2014-01-06	2017-02-14	2017-07-07	2017-07-07	NA	NA	NA	NA	NA	NA	NA	5
f75bc6e823d33bc9f9696d02abcf5616	2,013	2012-06-26	1,119	2015-07-20	PG-PAB	Si	2012-06-26	2012-06-26	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f77f2b33de7b6a01fe06c13131fba8aa	2,016	2011-10-03	1,835	2016-10-11	PG-PAB	Si	2011-10-03	2011-10-03	2011-10-03	2011-10-03	2011-10-03	2011-10-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f78bb07bf34bc6b8cc02d64a27685cff	2,016	2013-11-04	1,103	2016-11-11	PG-PAB	Si	2012-12-18	2013-11-04	2013-11-04	2013-11-04	2013-11-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
f78bb07bf34bc6b8cc02d64a27685cff	2,013	2012-12-18	136	2013-05-03	PG-PAB	Si	2012-12-18	2013-11-04	2013-11-04	2013-11-04	2013-11-04	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
f85489e4c85f499f0f67e4f111a5c402	2,013	2010-05-20	1,110	2013-06-03	PG-PAB	Si	2010-05-20	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
f95137329ea321032352c6c710056b99	2,018	2015-03-23	1,105	2018-04-01	M-PAI	Si	2015-03-23	2015-03-23	2015-03-23	2015-03-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fa1fbf8b760da5b8997c503426b96b2b	2,015	2011-04-27	1,435	2015-04-01	PG-PAI	Si	2011-04-27	2011-04-27	2011-04-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fb26afdbbca24897079eedec4aaeb62b	2,016	2013-04-01	1,247	2016-08-30	PG-PAB	Si	2013-04-01	2013-04-01	2013-04-01	2013-04-01	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fc256bfb95479f28ee0f9baefcfa6a46	2,017	2016-10-11	140	2017-02-28	M-PAI	Si	2010-12-27	2010-12-27	2010-12-27	2010-12-27	2016-10-11	2016-10-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fc256bfb95479f28ee0f9baefcfa6a46	2,014	2010-12-27	1,416	2014-11-12	PG-PAB	Si	2010-12-27	2010-12-27	2010-12-27	2010-12-27	2016-10-11	2016-10-11	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fc49c79e8eb1e2fd792fb1cd88341e7a	2,011	2009-01-27	1,099	2012-01-31	PG-PAB	Si	2009-01-27	2009-01-27	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fd00d53f37a0249af18aaa6af3312a24	2,013	2008-09-22	2,362	2015-03-12	PG-PAI	Si	2008-09-22	2008-09-22	2008-09-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fd0f22c52447de88ebc68a7731cd7f8d	2,015	2012-08-02	1,119	2015-08-26	PG-PAB	Si	2011-06-06	2012-08-02	2012-08-02	2012-08-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fd0f22c52447de88ebc68a7731cd7f8d	2,011	2011-06-06	143	2011-10-27	PG-PAB	Si	2011-06-06	2012-08-02	2012-08-02	2012-08-02	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fd8894ee726565f7c3cbc494877be481	2,013	2008-01-08	1,968	2013-05-29	M-PAI	Si	2008-01-08	2008-01-08	2008-01-08	2008-01-08	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fddc3d874f2bab69d0a2c0e849a62e2a	2,018	2013-02-22	2,019	2018-09-03	PG-PAB	Si	2013-02-22	2013-02-22	2013-02-22	2013-02-22	2013-02-22	2013-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fded38221c30522789cc2a6ad0974780	2,011	2007-10-22	1,592	2012-03-01	PG-PAB	Si	2007-10-22	2007-10-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fe571d03b9eb67d02a3418853cfa54c9	2,015	2011-12-23	1,221	2015-04-27	PG-PAI	Si	2011-12-23	2011-12-23	2011-12-23	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fea0c00896a976ea13d6a944ee635298	2,015	2012-09-03	1,122	2015-09-30	PG-PAI	Si	2012-09-03	2012-09-03	2012-09-03	2012-09-03	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
fed05e17e41a40633f18665f22008f4f	2,019	2019-07-09	NA	NA	PG-PR	Si	2009-10-19	2009-10-19	2009-10-19	2009-10-19	2019-07-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fed05e17e41a40633f18665f22008f4f	2,013	2009-10-19	1,613	2014-03-20	PG-PAI	Si	2009-10-19	2009-10-19	2009-10-19	2009-10-19	2019-07-09	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fed8508a89358eeb768346a43e17ae0b	2,017	2013-02-22	1,553	2017-05-25	PG-PAB	Si	2012-08-09	2013-02-22	2013-02-22	2013-02-22	2013-02-22	2013-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
fed8508a89358eeb768346a43e17ae0b	2,012	2012-08-09	132	2012-12-19	PG-PAI	Si	2012-08-09	2013-02-22	2013-02-22	2013-02-22	2013-02-22	2013-02-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2
ff69b9e62c5da81cfbd413b5e52ca5f7	2,013	2009-04-22	1,463	2013-04-24	PG-PAB	Si	2009-04-22	2009-04-22	2009-04-22	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1
Note= Blue background, more than 1095 days; Blue letters, more than one case for the same user; 1 to 18= Dates of admission of the different entries of the different databases

As seen in the Table above, most of the users appeared in more than one yearly database with the same date of admission. Additionally, many of the cases that had more than 2,000 days of treatment came from databases of 2010. Additionally, we were interested to find the most frequent dates of discharge, to check if there were eventual common dates of discharge among these abnormal cases.

df_tab5%>% dplyr::filter(dias_trat_imp>1095)%>% janitor::tabyl(fech_egres_imp)%>% arrange(desc(percent))%>% 
  slice(1:5)%>%
  dplyr::mutate(percent=scales::percent(percent))%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
            caption=paste0("Table 7. Five dates of discharge that repeated most among cases with days of treatment >1095 (n=",CONS_C1_df_dup_MAY_2020_prev_6c%>%dplyr::filter(dias_trat_imp>1095)%>%nrow(),")"),
            align= rep('c', 101), col.names = c("Dates of Discharge","n","%"))%>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
          kableExtra::scroll_box(width= "100%", height = "375x")

Table 7. Five dates of discharge that repeated most among cases with days of treatment >1095 (n=541)

Dates of Discharge	n	%
2016-01-01	30	5.55%
2015-01-01	9	1.66%
2013-12-31	8	1.48%
2015-02-06	6	1.11%
2016-08-01	6	1.11%

As seen in the table above, many cases had dates of discharge around the change from one yearly database to another. One could reasonably think that these cases could be recycled in many databases without noticing, until there is a review due to the process of moving into another year.

Considering that we were focused on treatments from 2010 to 2019, we decided to delete the cases with more than 1,095 days of treatment that started before 2010. Equally, we deleted the cases that rounded the change of the databases.

CONS_C1_df_dup_MAY_2020_prev_6c%>%  
  dplyr::mutate(fech_egres_imp2=as.Date(as.character(fech_egres_imp)), 
                month= strftime(fech_egres_imp2,"%m"),
                day= strftime(fech_egres_imp2,"%d"), 
                filtro=dplyr::case_when(month=="12"&day=="31"~1,month=="01"&day=="01"~1,TRUE~0))%>% 
  dplyr::mutate(more_1095= if_else(dias_trat_imp>1095,1,0,0),
                near_year= if_else(filtro==1 & more_1095==1,1,0,0),
                excess_days_bef_2010= if_else(more_1095==1 & as.numeric(strftime(as.Date(as.character(fech_ing)),"%Y"))<2010,1,0,0),
                near_year_more_1095= if_else(more_1095==1 & near_year==1,1,0,0))%>%
  dplyr::group_by(hash_key)%>%
  dplyr::mutate(sum_excess_days_bef_2010=sum(excess_days_bef_2010),
                sum_near_year_more_1095=sum(near_year_more_1095))%>%
  ungroup()%>%
  dplyr::mutate(obs=case_when(sum_excess_days_bef_2010>0~glue::glue("{obs};3.04.1.HASH w/ cases w/ >1095 d treat started <2010"),TRUE~obs))%>%  
  dplyr::mutate(obs=case_when(sum_near_year_more_1095>0~glue::glue("{obs};3.04.2.HASH w/ cases w/ >1095 d treat, discharge start of new yr"),TRUE~obs))%>%  
                dplyr::filter(near_year_more_1095==0,excess_days_bef_2010==0)%>%
  dplyr::select(-fech_egres_imp2, -month,-day, -filtro, -more_1095,-near_year,-excess_days_bef_2010,-near_year_more_1095,-sum_excess_days_bef_2010,-sum_near_year_more_1095)%>%

  assign("CONS_C1_df_dup_MAY_2020_prev_6d",., envir = .GlobalEnv)

The dataset resulted in 117,212 entries corresponding to 85,603 users.

4.5. Related to the number of dependents and others

There are two questions concerning the number of children: the number of dependent children (numero_de_hijos) and the amount of children to enter a residential treatment (num_hijos_ing_trat_res). It must be noted that 1,977 users report less children compared to at least one of the next treatments that same user had. We did not change this number, because we had no reason to think that some children could have died or are no longer being recognized as they were in the previous treatment.

CONS_C1_df_dup_MAY_2020_prev_6d%>% dplyr::group_by(hash_key)%>% dplyr::arrange(hash_key, desc(fech_ing))%>% dplyr::mutate(lag_numero_de_hijos=lag(numero_de_hijos),n=n(),validador_n_hijos=ifelse(lag_numero_de_hijos-numero_de_hijos<0,1,0),sum_validador=sum(validador_n_hijos,na.rm=T))%>% ungroup()%>% dplyr::filter(sum_validador>0)%>% dplyr::select(hash_key,fech_ing,numero_de_hijos,num_hijos_ing_trat_res,lag_numero_de_hijos)%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
            caption="Table 8. Cases that report more children than the following treatment",
            align= rep('c', 101), col.names = c("HASH","Date Admission","No. Children", "No. Children Residential Treatment","No. Children Following Treatment"))%>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
            kableExtra::scroll_box(width= "100%", height = "375x")

Table 8. Cases that report more children than the following treatment

HASH	Date Admission	No. Children	No. Children Residential Treatment	No. Children Following Treatment
001844aad3a5ef098c4c1d5e479ccbd6	2017-10-04	2	0	NA
001844aad3a5ef098c4c1d5e479ccbd6	2015-03-18	4	0	2
001844aad3a5ef098c4c1d5e479ccbd6	2014-01-03	4	0	4
001fb4d82755ca201c292fe318fef341	2018-06-20	3	0	NA
001fb4d82755ca201c292fe318fef341	2012-01-17	4	0	3
00335a6165270de0986718e354c20dcb	2019-06-19	3	1	NA
00335a6165270de0986718e354c20dcb	2019-05-13	2	0	3
00335a6165270de0986718e354c20dcb	2018-03-19	1	0	2
00335a6165270de0986718e354c20dcb	2013-08-13	2	0	1
0070f426977dde0cded41d5989fc6080	2013-04-19	0	0	NA
0070f426977dde0cded41d5989fc6080	2010-12-06	1	NA	0
0070f426977dde0cded41d5989fc6080	2010-03-23	0	NA	1
007473cf33f3ab7e70fed873e085e466	2017-04-17	0	0	NA
007473cf33f3ab7e70fed873e085e466	2009-09-24	3	NA	0
0087ea18517bc7631fa9bb2358f8cd42	2014-12-03	0	0	NA
0087ea18517bc7631fa9bb2358f8cd42	2014-08-08	1	0	0
009e7e1abb1a6e6a8d6e1a8f88989caa	2019-07-11	1	0	NA
009e7e1abb1a6e6a8d6e1a8f88989caa	2015-08-07	0	0	1
009e7e1abb1a6e6a8d6e1a8f88989caa	2010-08-19	1	NA	0
009e7e1abb1a6e6a8d6e1a8f88989caa	2010-04-20	1	NA	1
009e7e1abb1a6e6a8d6e1a8f88989caa	2009-05-13	1	NA	1
00a8e1377935f1639a28faa9c11ee03a	2015-06-23	1	0	NA
00a8e1377935f1639a28faa9c11ee03a	2012-01-13	3	1	1
00a8e1377935f1639a28faa9c11ee03a	2011-10-17	3	0	3
00b1972c833ac4fe5b34a05d0d504b61	2015-02-04	3	0	NA
00b1972c833ac4fe5b34a05d0d504b61	2014-07-04	4	0	3
00bd9b95e4a78d07281e065050386b74	2019-07-01	1	1	NA
00bd9b95e4a78d07281e065050386b74	2017-07-31	2	0	1
00bd9b95e4a78d07281e065050386b74	2016-07-05	2	0	2
00bf6f964e8418cee76d651b19eca20f	2017-01-19	1	0	NA
00bf6f964e8418cee76d651b19eca20f	2013-11-04	2	0	1
00e88209081ea97f047ec57598d8ed40	2012-10-09	1	1	NA
00e88209081ea97f047ec57598d8ed40	2010-04-14	2	NA	1
00fa3c3297487ce40d7b09d20514624d	2019-01-07	1	0	NA
00fa3c3297487ce40d7b09d20514624d	2015-03-13	2	0	1
00fa3c3297487ce40d7b09d20514624d	2013-05-13	2	2	2
00fa3c3297487ce40d7b09d20514624d	2012-07-17	2	1	2
01225839b7d5e264390cabd252a85cae	2016-12-07	1	0	NA
01225839b7d5e264390cabd252a85cae	2014-01-30	0	0	1
01225839b7d5e264390cabd252a85cae	2013-03-01	1	0	0
0124afdedadb9db47b161d0a4246ccef	2018-03-15	4	0	NA
0124afdedadb9db47b161d0a4246ccef	2017-09-28	5	0	4
012fd15c715d125ea45a443f0e3020e0	2016-12-19	1	0	NA
012fd15c715d125ea45a443f0e3020e0	2015-10-08	1	0	1
012fd15c715d125ea45a443f0e3020e0	2014-02-05	0	0	1
012fd15c715d125ea45a443f0e3020e0	2012-09-28	1	0	0
012fd15c715d125ea45a443f0e3020e0	2009-05-25	1	NA	1
0132eda9b52a6f47c80d7498d1b939b4	2013-03-18	6	0	NA
0132eda9b52a6f47c80d7498d1b939b4	2011-09-05	7	0	6
016cfc3877767f3d3fd687b055ff3ed1	2016-02-02	2	0	NA
016cfc3877767f3d3fd687b055ff3ed1	2015-06-01	3	0	2
017a0da9347cfac70e9e317e9e74fb33	2019-05-16	1	0	NA
017a0da9347cfac70e9e317e9e74fb33	2016-01-04	2	0	1
017a0da9347cfac70e9e317e9e74fb33	2014-06-05	1	0	2
0183111462d5853030b4b4096601c20b	2016-09-26	1	0	NA
0183111462d5853030b4b4096601c20b	2015-09-24	3	0	1
0183111462d5853030b4b4096601c20b	2014-01-20	2	0	3
0185474236a78bd34f1f598e07021075	2016-10-20	1	0	NA
0185474236a78bd34f1f598e07021075	2015-02-27	0	0	1
0185474236a78bd34f1f598e07021075	2014-04-23	1	0	0
0185474236a78bd34f1f598e07021075	2013-10-08	1	1	1
018aa81c971824fc568255ab1bf3ca81	2014-09-29	4	0	NA
018aa81c971824fc568255ab1bf3ca81	2011-06-06	5	0	4
01977a345b354b4aa1e2006de7156c1f	2015-02-02	3	0	NA
01977a345b354b4aa1e2006de7156c1f	2013-09-02	4	1	3
019e248f8d71486257ef01868492422f	2016-05-02	2	0	NA
019e248f8d71486257ef01868492422f	2014-02-13	3	0	2
01e9236cf4197bc0c8e6caaabeb9e425	2018-05-03	1	0	NA
01e9236cf4197bc0c8e6caaabeb9e425	2017-07-21	2	0	1
01f1cd78e3928983b8821623294dcbcd	2019-06-03	2	0	NA
01f1cd78e3928983b8821623294dcbcd	2016-10-18	3	0	2
021e0715eb5e7c85319d591fac126c9a	2011-08-08	0	0	NA
021e0715eb5e7c85319d591fac126c9a	2011-01-18	1	0	0
02274db2e0f8d4dd8e294206d58fa2ae	2019-07-23	2	0	NA
02274db2e0f8d4dd8e294206d58fa2ae	2017-09-04	2	0	2
02274db2e0f8d4dd8e294206d58fa2ae	2015-11-02	1	0	2
02274db2e0f8d4dd8e294206d58fa2ae	2013-06-11	2	0	1
02274db2e0f8d4dd8e294206d58fa2ae	2010-05-07	2	0	2
022dc19b9b4252557a3a9fa2dc7533ff	2019-01-25	4	0	NA
022dc19b9b4252557a3a9fa2dc7533ff	2013-09-02	6	1	4
022dc19b9b4252557a3a9fa2dc7533ff	2011-12-26	5	0	6
022f277b8c89e8db234dd3aaf1532a73	2019-06-27	2	0	NA
022f277b8c89e8db234dd3aaf1532a73	2018-08-17	3	0	2
027edde81fcd11fee036ee499b9ab19f	2018-09-24	1	0	NA
027edde81fcd11fee036ee499b9ab19f	2018-07-19	2	0	1
027f1f475f4968986234fe184c05f5d1	2010-07-05	1	NA	NA
027f1f475f4968986234fe184c05f5d1	2009-03-02	2	NA	1
02dab4b08e4228b8579fe4fde8d9a0bb	2017-06-29	1	0	NA
02dab4b08e4228b8579fe4fde8d9a0bb	2017-02-09	2	0	1
02f96196e826a69e1ced95a87fe58af7	2014-12-18	1	0	NA
02f96196e826a69e1ced95a87fe58af7	2014-11-18	2	0	1
0319197bbb6822d4a28091ef426290b8	2011-05-03	1	0	NA
0319197bbb6822d4a28091ef426290b8	2009-11-02	2	NA	1
033baa12794ddc46814cbcc9510a0b07	2019-05-02	2	0	NA
033baa12794ddc46814cbcc9510a0b07	2016-02-15	4	1	2
0375253deb213cb2be8be0aeb4ce0b6e	2018-12-13	5	0	NA
0375253deb213cb2be8be0aeb4ce0b6e	2017-07-24	2	0	5
0375253deb213cb2be8be0aeb4ce0b6e	2017-06-13	5	0	2
0375253deb213cb2be8be0aeb4ce0b6e	2016-06-30	5	0	5
03794cacdbb8ebe864bf073d5854eb8a	2019-03-21	3	0	NA
03794cacdbb8ebe864bf073d5854eb8a	2018-04-10	3	0	3
03794cacdbb8ebe864bf073d5854eb8a	2015-04-13	0	0	3
03794cacdbb8ebe864bf073d5854eb8a	2014-08-27	1	0	0
03b0a4273d83419b16756013e4473aa2	2019-04-01	2	0	NA
03b0a4273d83419b16756013e4473aa2	2019-01-30	3	0	2
03b0a4273d83419b16756013e4473aa2	2019-01-01	2	0	3
03b0a4273d83419b16756013e4473aa2	2017-10-11	3	0	2
03c70e15665a89e2551229a307be05df	2017-05-05	1	0	NA
03c70e15665a89e2551229a307be05df	2015-09-01	2	0	1
03d05618e2aefb18e7e0a5675c18c116	2017-01-06	0	0	NA
03d05618e2aefb18e7e0a5675c18c116	2009-10-28	3	NA	0
0427b76625f56b30cdf5882936d17e22	2013-01-03	2	0	NA
0427b76625f56b30cdf5882936d17e22	2009-01-14	3	NA	2
0459a7008c10a080878daf3b3b9953db	2011-05-20	0	0	NA
0459a7008c10a080878daf3b3b9953db	2010-12-13	3	NA	0
0484c1f9f4d5a76e0b6a86a18ab1db4b	2018-03-08	2	0	NA
0484c1f9f4d5a76e0b6a86a18ab1db4b	2014-05-07	3	0	2
0484c1f9f4d5a76e0b6a86a18ab1db4b	2012-11-15	3	0	3
048f39e466bf72b69cd97d063419aaef	2014-01-30	0	0	NA
048f39e466bf72b69cd97d063419aaef	2013-11-25	0	0	0
048f39e466bf72b69cd97d063419aaef	2012-09-26	38	1	0
04b17a2ca86716e9ee30992a953dc0a4	2012-06-06	2	0	NA
04b17a2ca86716e9ee30992a953dc0a4	2011-06-30	3	0	2
04dfb38687b88f19c51eac9363af5802	2014-08-07	0	0	NA
04dfb38687b88f19c51eac9363af5802	2014-06-05	1	0	0
04e4521aa81ab3d3d23433e633feef84	2019-06-03	2	0	NA
04e4521aa81ab3d3d23433e633feef84	2018-12-03	4	0	2
04ed415bf0811a83428685e35471c829	2015-07-02	0	0	NA
04ed415bf0811a83428685e35471c829	2013-12-05	2	0	0
051982ee773c2bfddbe835429009054e	2017-12-11	2	0	NA
051982ee773c2bfddbe835429009054e	2016-01-05	3	1	2
051982ee773c2bfddbe835429009054e	2015-03-16	4	0	3
052e6e0b1fc7eac089310e43f19b118b	2019-03-07	1	0	NA
052e6e0b1fc7eac089310e43f19b118b	2018-12-07	2	0	1
0548bc109aec06314c8b4b08379a1c23	2015-03-31	1	0	NA
0548bc109aec06314c8b4b08379a1c23	2014-05-15	2	0	1
0548bc109aec06314c8b4b08379a1c23	2011-02-04	1	0	2
0548bc109aec06314c8b4b08379a1c23	2010-07-20	1	NA	1
054e2c2e7654f267d32f1755d35dcaa7	2018-07-20	3	0	NA
054e2c2e7654f267d32f1755d35dcaa7	2018-01-15	4	0	3
0559ee29c8e36cae415ecf9b5541e55d	2013-04-11	2	0	NA
0559ee29c8e36cae415ecf9b5541e55d	2012-10-04	3	1	2
0568c756e5b56203a03bbc1c621aef45	2011-01-08	1	0	NA
0568c756e5b56203a03bbc1c621aef45	2010-01-11	2	NA	1
05da1766a5667ec04d5cefd67dedf06c	2018-06-18	2	0	NA
05da1766a5667ec04d5cefd67dedf06c	2017-11-29	3	0	2
06220900af92a401a80f36adb6b0fc3d	2017-08-14	3	0	NA
06220900af92a401a80f36adb6b0fc3d	2015-09-09	0	0	3
06220900af92a401a80f36adb6b0fc3d	2011-11-21	1	0	0
062f26b25e1df6a3b034246017f66b87	2014-08-22	2	0	NA
062f26b25e1df6a3b034246017f66b87	2012-09-13	3	0	2
0649ae7cff1d044637aa0a2d83936d0f	2015-10-23	1	0	NA
0649ae7cff1d044637aa0a2d83936d0f	2011-12-27	2	0	1
0657bba86dd38ef8dfab5f2308bc74b4	2019-01-28	0	0	NA
0657bba86dd38ef8dfab5f2308bc74b4	2018-06-08	1	0	0
0657bba86dd38ef8dfab5f2308bc74b4	2016-03-03	0	0	1
0671b2945dd2c2d7d5bfd2d3575c84f0	2018-05-01	1	0	NA
0671b2945dd2c2d7d5bfd2d3575c84f0	2018-02-01	2	0	1
0671b2945dd2c2d7d5bfd2d3575c84f0	2017-03-01	1	0	2
0671b2945dd2c2d7d5bfd2d3575c84f0	2015-04-17	1	0	1
0671b2945dd2c2d7d5bfd2d3575c84f0	2015-02-05	1	0	1
0671b2945dd2c2d7d5bfd2d3575c84f0	2013-04-08	1	0	1
0671b2945dd2c2d7d5bfd2d3575c84f0	2010-01-11	1	NA	1
06c3cdea0d58d5746a9460ba2f57ebfe	2013-06-20	0	0	NA
06c3cdea0d58d5746a9460ba2f57ebfe	2011-07-19	2	0	0
06f0e5c576f80442442ef565ad419de3	2018-02-20	3	0	NA
06f0e5c576f80442442ef565ad419de3	2017-10-27	3	0	3
06f0e5c576f80442442ef565ad419de3	2017-03-27	2	0	3
06f0e5c576f80442442ef565ad419de3	2014-04-08	3	1	2
06f0e5c576f80442442ef565ad419de3	2011-05-05	1	0	3
06f0e5c576f80442442ef565ad419de3	2010-08-12	1	NA	1
06f304fee172168ef0fe0a9edc0701ca	2017-06-27	0	0	NA
06f304fee172168ef0fe0a9edc0701ca	2013-01-08	1	0	0
06f304fee172168ef0fe0a9edc0701ca	2012-05-02	1	0	1
0704aa3d2f29c3237ff70a2fd9f3520d	2018-02-01	2	0	NA
0704aa3d2f29c3237ff70a2fd9f3520d	2017-04-24	3	0	2
071ce403d5738cfe76a1ce4fcf8bad8a	2019-09-04	0	0	NA
071ce403d5738cfe76a1ce4fcf8bad8a	2014-11-20	1	0	0
071ce403d5738cfe76a1ce4fcf8bad8a	2014-10-07	1	0	1
071ce403d5738cfe76a1ce4fcf8bad8a	2013-01-01	1	0	1
07348441d4cbe69ae04d271303758bf7	2019-05-27	0	0	NA
07348441d4cbe69ae04d271303758bf7	2015-11-25	1	0	0
074d24ef332aa1eb3ee18dba9ed7d193	2019-01-29	2	0	NA
074d24ef332aa1eb3ee18dba9ed7d193	2017-01-18	2	0	2
074d24ef332aa1eb3ee18dba9ed7d193	2012-07-24	2	0	2
074d24ef332aa1eb3ee18dba9ed7d193	2009-04-06	3	NA	2
075a213d16873424c76e3befdf506e48	2012-06-15	0	0	NA
075a213d16873424c76e3befdf506e48	2009-02-24	2	NA	0
07b1fd75f28fa417e2efa17f674cc0df	2017-01-16	0	0	NA
07b1fd75f28fa417e2efa17f674cc0df	2014-01-09	0	0	0
07b1fd75f28fa417e2efa17f674cc0df	2010-05-24	2	NA	0
07d3a40d65e1f8fc95031942a274127a	2013-01-24	1	0	NA
07d3a40d65e1f8fc95031942a274127a	2010-05-10	2	NA	1
07e1ae11a0c04f3aa6ad5e6b3cea4029	2015-04-01	3	0	NA
07e1ae11a0c04f3aa6ad5e6b3cea4029	2015-02-18	4	0	3
07f6411b2ac941a5e66dc01e83dfab10	2019-03-26	1	0	NA
07f6411b2ac941a5e66dc01e83dfab10	2018-10-22	1	0	1
07f6411b2ac941a5e66dc01e83dfab10	2018-05-01	2	0	1
080e044c06eb0d9572560b2140ddcd4a	2014-04-08	2	0	NA
080e044c06eb0d9572560b2140ddcd4a	2014-03-19	3	0	2
081b7760a1b1136aad4bebd92a001b39	2016-01-18	1	0	NA
081b7760a1b1136aad4bebd92a001b39	2015-02-24	1	0	1
081b7760a1b1136aad4bebd92a001b39	2014-01-07	0	0	1
081b7760a1b1136aad4bebd92a001b39	2013-11-28	1	0	0
08490787625cae2cf6642829ff1ebedb	2019-08-01	0	0	NA
08490787625cae2cf6642829ff1ebedb	2018-05-04	2	0	0
0868af2f47876079efd2e1587d8cfc06	2014-06-06	2	0	NA
0868af2f47876079efd2e1587d8cfc06	2013-02-27	3	0	2
0868af2f47876079efd2e1587d8cfc06	2012-04-04	3	0	3
0884177b7208f198de86fbf83dbde05d	2019-02-11	0	0	NA
0884177b7208f198de86fbf83dbde05d	2018-06-22	2	0	0
0888677b57dc04eb76fc92c341b9c6f3	2013-10-01	1	0	NA
0888677b57dc04eb76fc92c341b9c6f3	2013-06-18	0	0	1
0888677b57dc04eb76fc92c341b9c6f3	2010-10-05	1	NA	0
089a99fd34c71105d915bbbed7f0a1ca	2014-03-14	0	0	NA
089a99fd34c71105d915bbbed7f0a1ca	2011-08-13	1	0	0
08cfc58484f86eebd09aa9031e9065a8	2013-05-13	2	0	NA
08cfc58484f86eebd09aa9031e9065a8	2012-04-02	2	0	2
08cfc58484f86eebd09aa9031e9065a8	2012-02-17	3	0	2
08e5346030e108c2ce61e5218d3b5461	2018-11-07	3	0	NA
08e5346030e108c2ce61e5218d3b5461	2014-07-11	5	0	3
08e5346030e108c2ce61e5218d3b5461	2014-03-11	5	0	5
0912804a96a6440266068253ab605dea	2012-06-22	1	0	NA
0912804a96a6440266068253ab605dea	2010-10-18	2	NA	1
0912804a96a6440266068253ab605dea	2009-06-25	1	NA	2
09291a7e5d3890d88f8d3f9eda694879	2016-11-16	0	0	NA
09291a7e5d3890d88f8d3f9eda694879	2015-02-10	2	0	0
09291a7e5d3890d88f8d3f9eda694879	2013-04-10	0	0	2
095871f9c9e91b02e7bbe38236d1bcaf	2018-10-30	2	0	NA
095871f9c9e91b02e7bbe38236d1bcaf	2018-09-25	2	2	2
095871f9c9e91b02e7bbe38236d1bcaf	2018-05-17	2	0	2
095871f9c9e91b02e7bbe38236d1bcaf	2018-04-02	0	0	2
095871f9c9e91b02e7bbe38236d1bcaf	2018-01-08	2	0	0
09587e920720abe65df2511873af3424	2015-10-01	2	0	NA
09587e920720abe65df2511873af3424	2015-02-19	3	0	2
096645f5bf24f53259930eb844969295	2013-02-01	3	0	NA
096645f5bf24f53259930eb844969295	2013-01-01	4	0	3
096645f5bf24f53259930eb844969295	2012-01-02	3	0	4
0977df9cf021b126e76bd4276b675e40	2016-05-06	2	0	NA
0977df9cf021b126e76bd4276b675e40	2014-08-05	0	0	2
0977df9cf021b126e76bd4276b675e40	2013-02-07	1	0	0
0993c46c430b41447a992aef15e3e852	2018-10-02	1	0	NA
0993c46c430b41447a992aef15e3e852	2017-12-01	1	0	1
0993c46c430b41447a992aef15e3e852	2013-08-07	1	0	1
0993c46c430b41447a992aef15e3e852	2013-05-06	2	0	1
0993c46c430b41447a992aef15e3e852	2009-09-23	1	NA	2
09d5ae47a3553a90702362b3498feba8	2015-08-27	0	0	NA
09d5ae47a3553a90702362b3498feba8	2015-02-06	0	0	0
09d5ae47a3553a90702362b3498feba8	2014-11-20	1	0	0
09f0ca9f2a29b716d22ee503c53e9957	2019-03-07	2	0	NA
09f0ca9f2a29b716d22ee503c53e9957	2018-09-12	0	0	2
09f0ca9f2a29b716d22ee503c53e9957	2018-07-13	1	0	0
0a1d3531b6f494c7e075f36f09dc079c	2018-11-26	0	0	NA
0a1d3531b6f494c7e075f36f09dc079c	2017-11-17	3	0	0
0a280f7e2457a3a5ffb5b2302bf166ed	2018-06-21	2	0	NA
0a280f7e2457a3a5ffb5b2302bf166ed	2017-03-13	3	0	2
0a280f7e2457a3a5ffb5b2302bf166ed	2016-04-06	2	0	3
0a2dabadf8ca1b2e9ba2e22b38e8ddcb	2014-12-15	1	0	NA
0a2dabadf8ca1b2e9ba2e22b38e8ddcb	2014-02-18	0	0	1
0a2dabadf8ca1b2e9ba2e22b38e8ddcb	2013-10-29	1	0	0
0a36a632748c09dcf24fdc962bde1f1a	2018-08-01	0	0	NA
0a36a632748c09dcf24fdc962bde1f1a	2017-05-09	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2015-10-22	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2015-03-26	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2015-03-02	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2014-11-10	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2013-03-11	32	0	0
0a36a632748c09dcf24fdc962bde1f1a	2012-05-30	0	0	32
0a36a632748c09dcf24fdc962bde1f1a	2011-08-12	0	0	0
0a36a632748c09dcf24fdc962bde1f1a	2010-05-27	0	NA	0
0a36a632748c09dcf24fdc962bde1f1a	2009-06-02	0	NA	0
0a38fad354b3cd8d263c843a7bffc07e	2015-08-04	4	0	NA
0a38fad354b3cd8d263c843a7bffc07e	2014-04-10	1	0	4
0a38fad354b3cd8d263c843a7bffc07e	2012-06-01	2	1	1
0a4ef3e47df7d08bded6c4e6fc10d58d	2019-04-30	2	0	NA
0a4ef3e47df7d08bded6c4e6fc10d58d	2018-11-05	0	0	2
0a4ef3e47df7d08bded6c4e6fc10d58d	2014-06-23	3	0	0
0a52bcd2813dedf2fe34e76afb58cfd2	2014-04-16	4	0	NA
0a52bcd2813dedf2fe34e76afb58cfd2	2011-12-02	6	0	4
0a9975d0f2c13309731d2e8f62854e40	2019-01-23	2	0	NA
0a9975d0f2c13309731d2e8f62854e40	2018-04-16	5	0	2
0a9975d0f2c13309731d2e8f62854e40	2015-03-31	3	0	5
0a9975d0f2c13309731d2e8f62854e40	2014-09-16	3	0	3
0b1a905acdeea2018966ba356c362142	2018-03-19	3	0	NA
0b1a905acdeea2018966ba356c362142	2017-08-18	4	0	3
0b1a905acdeea2018966ba356c362142	2016-10-21	4	0	4
0b1a905acdeea2018966ba356c362142	2016-06-29	4	0	4
0b22d1bbb87026333b938d87f79065d6	2017-10-23	2	0	NA
0b22d1bbb87026333b938d87f79065d6	2017-09-02	3	0	2
0b22d1bbb87026333b938d87f79065d6	2017-07-03	3	0	3
0b546ecffcf70324d3c573e0a886d800	2019-04-29	3	0	NA
0b546ecffcf70324d3c573e0a886d800	2018-01-16	4	0	3
0b546ecffcf70324d3c573e0a886d800	2014-11-21	3	0	4
0b734e0104a0662130170e1f5a053bde	2016-02-17	1	0	NA
0b734e0104a0662130170e1f5a053bde	2015-08-24	2	0	1
0b734e0104a0662130170e1f5a053bde	2015-03-24	2	0	2
0b734e0104a0662130170e1f5a053bde	2013-03-18	1	0	2
0b7b66650fde3af3482ca40b21023298	2019-03-25	2	0	NA
0b7b66650fde3af3482ca40b21023298	2017-08-10	3	0	2
0b7b66650fde3af3482ca40b21023298	2015-09-10	2	0	3
0b7b66650fde3af3482ca40b21023298	2015-08-14	2	0	2
0b7b66650fde3af3482ca40b21023298	2013-08-28	1	0	2
0b7b66650fde3af3482ca40b21023298	2013-06-26	1	0	1
0ba505466aa606c078eec0b874532df7	2016-05-10	0	0	NA
0ba505466aa606c078eec0b874532df7	2014-09-04	0	0	0
0ba505466aa606c078eec0b874532df7	2013-08-12	2	0	0
0bbc7a81e02fee1b432cb1bfa88ef049	2016-02-22	3	0	NA
0bbc7a81e02fee1b432cb1bfa88ef049	2014-12-23	5	0	3
0bec1bfa1cf10029c73bcc5fc53b4bd3	2013-07-01	0	0	NA
0bec1bfa1cf10029c73bcc5fc53b4bd3	2013-04-22	5	0	0
0bf0d48fafda29be5af0ab050ec18094	2018-12-26	0	0	NA
0bf0d48fafda29be5af0ab050ec18094	2014-06-02	1	0	0
0bf0d48fafda29be5af0ab050ec18094	2014-02-10	1	0	1
0bf0d48fafda29be5af0ab050ec18094	2013-02-01	0	0	1
0bfc0371993ef97a9e41a6499c4997b0	2014-09-23	2	0	NA
0bfc0371993ef97a9e41a6499c4997b0	2013-04-08	3	0	2
0bfc0371993ef97a9e41a6499c4997b0	2011-08-02	2	0	3
0bfc0371993ef97a9e41a6499c4997b0	2010-12-01	2	NA	2
0bfc0371993ef97a9e41a6499c4997b0	2010-08-22	2	NA	2
0bfc0371993ef97a9e41a6499c4997b0	2010-06-07	2	NA	2
0bfc0371993ef97a9e41a6499c4997b0	2010-04-22	2	NA	2
0bfd1b87c34eafc58ec8a15915c7c189	2015-03-25	1	0	NA
0bfd1b87c34eafc58ec8a15915c7c189	2014-08-20	2	0	1
0c502cb567ce1eb4960dbf213c66c193	2019-06-03	2	0	NA
0c502cb567ce1eb4960dbf213c66c193	2018-05-05	2	0	2
0c502cb567ce1eb4960dbf213c66c193	2018-03-01	3	0	2
0c502cb567ce1eb4960dbf213c66c193	2017-09-27	2	0	3
0c66c0b765a83da8d1de567a6463b309	2014-08-01	3	0	NA
0c66c0b765a83da8d1de567a6463b309	2012-01-09	3	0	3
0c66c0b765a83da8d1de567a6463b309	2011-11-09	4	0	3
0cdc13b601f7de08b22a96c067349be5	2018-07-02	1	0	NA
0cdc13b601f7de08b22a96c067349be5	2018-05-11	2	1	1
0cf50e3ffd537e96c1ca56a31e745273	2016-07-05	2	0	NA
0cf50e3ffd537e96c1ca56a31e745273	2011-10-10	0	0	2
0cf50e3ffd537e96c1ca56a31e745273	2011-01-24	2	2	0
0cf50e3ffd537e96c1ca56a31e745273	2010-08-03	2	NA	2
0cf511a3bfb9596aa411dcb98b0e9d77	2017-06-13	0	0	NA
0cf511a3bfb9596aa411dcb98b0e9d77	2016-05-09	47	0	0
0d162f12cad2249a7cc21e4a7e708377	2013-08-06	1	0	NA
0d162f12cad2249a7cc21e4a7e708377	2013-04-30	4	0	1
0d162f12cad2249a7cc21e4a7e708377	2010-01-22	1	NA	4
0d323400ae8065abb49b31a00b4190f2	2019-01-11	0	0	NA
0d323400ae8065abb49b31a00b4190f2	2013-09-05	1	0	0
0d323400ae8065abb49b31a00b4190f2	2013-05-08	0	0	1
0d40c418841cc2c71d9f0f5027cc6b62	2015-03-25	3	0	NA
0d40c418841cc2c71d9f0f5027cc6b62	2015-01-22	1	0	3
0d40c418841cc2c71d9f0f5027cc6b62	2011-09-13	3	0	1
0d45851faa5b10765d037b219287f525	2015-08-31	1	0	NA
0d45851faa5b10765d037b219287f525	2015-02-10	3	0	1
0d69071d06ed125d20b68d73781e48ff	2019-04-08	0	0	NA
0d69071d06ed125d20b68d73781e48ff	2015-04-13	2	0	0
0d69071d06ed125d20b68d73781e48ff	2014-09-15	2	0	2
0d7027d9879b1d3cb22f10c57a83abfb	2016-07-01	0	0	NA
0d7027d9879b1d3cb22f10c57a83abfb	2015-08-11	2	0	0
0dc5fe0b69cc4779f18d579909ced671	2016-08-08	1	0	NA
0dc5fe0b69cc4779f18d579909ced671	2016-05-28	2	1	1
0dc5fe0b69cc4779f18d579909ced671	2016-01-12	2	0	2
0dd93763dd535ac5ca83f17c7992b31d	2018-08-29	1	0	NA
0dd93763dd535ac5ca83f17c7992b31d	2018-06-04	3	0	1
0de7350a7f9cb205f3c878618e4e7eac	2015-10-23	2	0	NA
0de7350a7f9cb205f3c878618e4e7eac	2015-08-27	2	0	2
0de7350a7f9cb205f3c878618e4e7eac	2015-07-09	0	0	2
0de7350a7f9cb205f3c878618e4e7eac	2014-03-19	2	0	0
0dec5f14bf6dc0ee571a602730f10828	2018-03-20	1	0	NA
0dec5f14bf6dc0ee571a602730f10828	2017-02-20	2	0	1
0dec5f14bf6dc0ee571a602730f10828	2013-11-04	2	0	2
0e1e88421f81ca466362629d4b6770ed	2016-02-01	2	0	NA
0e1e88421f81ca466362629d4b6770ed	2012-06-07	4	0	2
0e2cd4843c6ee0cb768a20de34aa4784	2018-08-01	1	0	NA
0e2cd4843c6ee0cb768a20de34aa4784	2018-06-18	1	0	1
0e2cd4843c6ee0cb768a20de34aa4784	2017-05-18	1	0	1
0e2cd4843c6ee0cb768a20de34aa4784	2016-04-27	1	0	1
0e2cd4843c6ee0cb768a20de34aa4784	2012-04-11	0	0	1
0e2cd4843c6ee0cb768a20de34aa4784	2010-11-08	0	NA	0
0e2cd4843c6ee0cb768a20de34aa4784	2010-08-02	0	NA	0
0e2cd4843c6ee0cb768a20de34aa4784	2010-02-08	1	NA	0
0e64a75705821e75f1af1c4a3d8dac41	2017-07-20	0	0	NA
0e64a75705821e75f1af1c4a3d8dac41	2015-10-05	3	0	0
0e78f3726e818cf8ab54abc9ff2cb18b	2019-01-16	2	0	NA
0e78f3726e818cf8ab54abc9ff2cb18b	2018-07-31	3	0	2
0ecdd96aa26acffb0443024302c88b19	2018-08-20	2	0	NA
0ecdd96aa26acffb0443024302c88b19	2014-11-03	1	0	2
0ecdd96aa26acffb0443024302c88b19	2013-09-06	2	0	1
0edc136b2877fbe8cc8ea084d63c6ef5	2014-11-03	0	0	NA
0edc136b2877fbe8cc8ea084d63c6ef5	2009-12-18	1	NA	0
0f160560f748261815e1389cedc61d50	2016-06-15	1	0	NA
0f160560f748261815e1389cedc61d50	2015-04-14	2	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2017-04-10	1	0	NA
0f4aa2f78fa5da961404e6e5389ad76c	2017-04-03	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2017-01-31	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2016-05-27	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2015-10-19	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2015-07-14	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2014-07-23	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2014-07-08	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2014-06-05	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2013-11-04	1	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2012-09-03	0	0	1
0f4aa2f78fa5da961404e6e5389ad76c	2011-11-04	1	0	0
0f5e88e443b60e9e57f9f940fdbb17fe	2018-06-12	0	0	NA
0f5e88e443b60e9e57f9f940fdbb17fe	2014-04-23	1	0	0
0f5e88e443b60e9e57f9f940fdbb17fe	2013-12-02	1	0	1
0f5e88e443b60e9e57f9f940fdbb17fe	2013-07-24	1	0	1
0f5f96b1d796c2b9d11a86d427c75697	2019-05-07	2	0	NA
0f5f96b1d796c2b9d11a86d427c75697	2016-08-26	0	0	2
0f5f96b1d796c2b9d11a86d427c75697	2012-07-17	2	0	0
0f616f90aa63f67cb823b389a69de6d7	2019-05-27	0	0	NA
0f616f90aa63f67cb823b389a69de6d7	2017-03-20	2	0	0
0f6371dc4ad41f28217499f0d379e3dc	2016-03-25	3	0	NA
0f6371dc4ad41f28217499f0d379e3dc	2015-08-07	2	0	3
0f6371dc4ad41f28217499f0d379e3dc	2012-09-05	3	0	2
0f7a41a920e06ffede4b3dcde6e91d56	2012-11-09	0	0	NA
0f7a41a920e06ffede4b3dcde6e91d56	2012-07-25	2	2	0
0f7a41a920e06ffede4b3dcde6e91d56	2012-05-04	1	0	2
0f7a41a920e06ffede4b3dcde6e91d56	2011-09-13	1	0	1
0f7a41a920e06ffede4b3dcde6e91d56	2011-07-15	1	0	1
0f7a41a920e06ffede4b3dcde6e91d56	2011-06-01	1	0	1
0fafcb85f2ae49d27d410b25cf0ec73d	2014-03-27	0	0	NA
0fafcb85f2ae49d27d410b25cf0ec73d	2010-08-26	1	1	0
0fb1a7c5f943a9a46c589461d3773632	2017-11-27	4	0	NA
0fb1a7c5f943a9a46c589461d3773632	2016-08-01	3	0	4
0fb1a7c5f943a9a46c589461d3773632	2015-10-01	0	0	3
0fb1a7c5f943a9a46c589461d3773632	2014-08-05	2	0	0
0fb1a7c5f943a9a46c589461d3773632	2014-06-03	3	0	2
0fb1a7c5f943a9a46c589461d3773632	2014-03-10	3	0	3
0fea8b53d064dfa623079adc570e9907	2018-04-19	0	0	NA
0fea8b53d064dfa623079adc570e9907	2013-03-11	2	1	0
0ff95d9654af57d2727cb79c5ee15cba	2015-04-10	1	0	NA
0ff95d9654af57d2727cb79c5ee15cba	2011-12-13	2	0	1
101ebc1d938cde211dd3458eab9f9533	2012-04-11	1	0	NA
101ebc1d938cde211dd3458eab9f9533	2011-12-03	2	2	1
10259c2bfd6e35456c0bee485923b988	2018-04-23	3	0	NA
10259c2bfd6e35456c0bee485923b988	2017-09-28	2	0	3
10259c2bfd6e35456c0bee485923b988	2013-05-16	3	0	2
1049d35b89af351a50d4d3a1de1a8467	2019-03-04	4	0	NA
1049d35b89af351a50d4d3a1de1a8467	2017-10-12	2	0	4
1049d35b89af351a50d4d3a1de1a8467	2015-03-13	5	0	2
1061a20275002ccb43c00d1dd2ec506a	2015-06-10	0	0	NA
1061a20275002ccb43c00d1dd2ec506a	2013-10-29	1	0	0
10b60347d071a95a9a9deb770a0a1981	2018-09-07	4	0	NA
10b60347d071a95a9a9deb770a0a1981	2017-01-17	2	0	4
10b60347d071a95a9a9deb770a0a1981	2016-08-09	4	0	2
110bec8776ba40587c85ab9975b1ad67	2014-06-17	3	0	NA
110bec8776ba40587c85ab9975b1ad67	2011-02-09	4	0	3
1111ec5aed14e4ffb1748ea4a2e3c625	2016-02-23	2	0	NA
1111ec5aed14e4ffb1748ea4a2e3c625	2014-08-25	3	0	2
112143911f925b1656409d4304275250	2015-06-15	4	0	NA
112143911f925b1656409d4304275250	2014-11-14	5	0	4
112143911f925b1656409d4304275250	2013-03-21	5	0	5
1173f19959cadd5542a584ab94ca87b7	2018-10-10	8	0	NA
1173f19959cadd5542a584ab94ca87b7	2017-11-22	8	1	8
1173f19959cadd5542a584ab94ca87b7	2017-07-10	7	0	8
1173f19959cadd5542a584ab94ca87b7	2014-07-07	5	0	7
1173f19959cadd5542a584ab94ca87b7	2014-04-04	5	0	5
1173f19959cadd5542a584ab94ca87b7	2013-04-26	6	1	5
1173f19959cadd5542a584ab94ca87b7	2013-01-23	6	0	6
1173f19959cadd5542a584ab94ca87b7	2012-04-02	5	0	6
1173f19959cadd5542a584ab94ca87b7	2012-02-15	5	0	5
1173f19959cadd5542a584ab94ca87b7	2011-09-22	5	0	5
1173f19959cadd5542a584ab94ca87b7	2011-01-17	5	0	5
11a6f5371e0988d6a5f063a79d351860	2015-10-21	2	0	NA
11a6f5371e0988d6a5f063a79d351860	2014-09-04	3	1	2
11ac7501dfea54518dd771126d5c0fb3	2011-01-24	2	0	NA
11ac7501dfea54518dd771126d5c0fb3	2010-02-26	3	NA	2
11c2ab0d80f08572bb06749ba659b438	2014-04-14	1	0	NA
11c2ab0d80f08572bb06749ba659b438	2013-01-03	0	0	1
11c2ab0d80f08572bb06749ba659b438	2011-09-08	1	0	0
11d568715602cd130d74e5a65aa1d98d	2014-03-17	2	0	NA
11d568715602cd130d74e5a65aa1d98d	2012-07-09	1	0	2
11d568715602cd130d74e5a65aa1d98d	2009-11-09	2	NA	1
11de6e4728730285aef41412c4fb914c	2018-05-24	0	0	NA
11de6e4728730285aef41412c4fb914c	2016-07-25	2	0	0
11de6e4728730285aef41412c4fb914c	2015-03-10	2	0	2
11e79f40b919bd002f659da49721f4c6	2019-01-24	1	0	NA
11e79f40b919bd002f659da49721f4c6	2014-09-01	3	0	1
120a6a951d20a4c3002e385845e02c45	2015-11-13	1	0	NA
120a6a951d20a4c3002e385845e02c45	2014-10-24	2	0	1
12307c9754026623de481d923c961b2c	2017-04-26	2	0	NA
12307c9754026623de481d923c961b2c	2017-01-03	3	0	2
1232bc1750492d7750f3700e30422618	2013-04-01	1	0	NA
1232bc1750492d7750f3700e30422618	2011-12-12	2	2	1
1232bc1750492d7750f3700e30422618	2010-02-17	1	NA	2
125b26442466e0f3852d807bbbb89463	2015-12-14	1	0	NA
125b26442466e0f3852d807bbbb89463	2015-05-04	1	0	1
125b26442466e0f3852d807bbbb89463	2014-03-27	2	0	1
125b26442466e0f3852d807bbbb89463	2013-05-22	1	0	2
129240f8e0be281835fb186f230289f7	2016-01-07	3	0	NA
129240f8e0be281835fb186f230289f7	2015-10-05	4	0	3
129240f8e0be281835fb186f230289f7	2015-03-24	4	0	4
129240f8e0be281835fb186f230289f7	2013-11-26	4	0	4
129240f8e0be281835fb186f230289f7	2013-01-03	3	0	4
12be5f6c87e4daa964c7195e9e31e225	2014-12-10	5	0	NA
12be5f6c87e4daa964c7195e9e31e225	2014-01-22	6	1	5
12be5f6c87e4daa964c7195e9e31e225	2013-01-28	4	0	6
12be5f6c87e4daa964c7195e9e31e225	2012-07-11	4	0	4
12be5f6c87e4daa964c7195e9e31e225	2010-07-23	4	NA	4
12c7428765ab1257449de039732ae3f6	2018-04-02	2	0	NA
12c7428765ab1257449de039732ae3f6	2017-06-20	2	0	2
12c7428765ab1257449de039732ae3f6	2015-04-28	3	0	2
12c7428765ab1257449de039732ae3f6	2014-11-14	2	0	3
12c7ece68061ed9538f9431222449bd0	2019-04-24	0	0	NA
12c7ece68061ed9538f9431222449bd0	2016-01-21	1	0	0
12c7ece68061ed9538f9431222449bd0	2013-03-13	1	0	1
12d12a8b9378b80aa1dfc6a611d99eda	2016-11-30	1	0	NA
12d12a8b9378b80aa1dfc6a611d99eda	2013-07-30	1	0	1
12d12a8b9378b80aa1dfc6a611d99eda	2012-07-20	2	0	1
12d12a8b9378b80aa1dfc6a611d99eda	2011-05-03	1	0	2
12e2e5aa5f041a62905cf1accd58f47d	2018-10-01	2	1	NA
12e2e5aa5f041a62905cf1accd58f47d	2010-07-07	3	NA	2
13078f7b3262ab2316c89364033a4823	2018-12-20	3	0	NA
13078f7b3262ab2316c89364033a4823	2018-10-12	3	0	3
13078f7b3262ab2316c89364033a4823	2018-05-15	0	0	3
13078f7b3262ab2316c89364033a4823	2010-09-01	3	NA	0
131baca6646129e1ee544c843b2a7b45	2018-06-26	2	0	NA
131baca6646129e1ee544c843b2a7b45	2015-10-07	4	0	2
131baca6646129e1ee544c843b2a7b45	2014-08-13	4	0	4
13b06bf1d93f4c25ed6195579bdd9cab	2015-02-09	0	0	NA
13b06bf1d93f4c25ed6195579bdd9cab	2014-07-08	1	0	0
13bf0904d453b7a9e2cca381283cc928	2017-08-11	2	0	NA
13bf0904d453b7a9e2cca381283cc928	2017-05-17	3	0	2
13c7fc429e2956b8d53ad69d202397b7	2018-01-15	1	0	NA
13c7fc429e2956b8d53ad69d202397b7	2017-11-20	2	1	1
13da4a8df9734dad82920f20485b15ba	2018-10-11	1	0	NA
13da4a8df9734dad82920f20485b15ba	2018-01-10	1	0	1
13da4a8df9734dad82920f20485b15ba	2016-09-26	3	0	1
13da4a8df9734dad82920f20485b15ba	2013-08-12	1	0	3
13da4a8df9734dad82920f20485b15ba	2013-01-11	1	0	1
13da4a8df9734dad82920f20485b15ba	2012-01-02	1	0	1
13da4a8df9734dad82920f20485b15ba	2011-01-06	1	1	1
13da4a8df9734dad82920f20485b15ba	2009-08-04	1	NA	1
1422a9d835f7e87f415587a7d6f56be6	2016-05-20	1	0	NA
1422a9d835f7e87f415587a7d6f56be6	2015-03-23	3	0	1
142370736c6b61809104d0593d6309ef	2013-06-28	1	0	NA
142370736c6b61809104d0593d6309ef	2011-11-09	2	0	1
143e489e004ed5834abf9392f843af12	2018-10-29	2	0	NA
143e489e004ed5834abf9392f843af12	2017-10-25	3	0	2
144b81fab8cd7e2796a133085c6d8d16	2019-03-28	2	0	NA
144b81fab8cd7e2796a133085c6d8d16	2017-10-02	2	0	2
144b81fab8cd7e2796a133085c6d8d16	2013-08-29	3	0	2
144b81fab8cd7e2796a133085c6d8d16	2010-10-20	2	NA	3
144b81fab8cd7e2796a133085c6d8d16	2010-05-19	1	NA	2
146a01a39cf672e65c09f79b372bbb82	2013-04-11	3	0	NA
146a01a39cf672e65c09f79b372bbb82	2012-02-22	4	0	3
1479ccc68f15234dba38c43d1e6843a3	2016-10-14	3	0	NA
1479ccc68f15234dba38c43d1e6843a3	2016-06-30	2	0	3
1479ccc68f15234dba38c43d1e6843a3	2016-05-18	3	0	2
1479ccc68f15234dba38c43d1e6843a3	2015-10-07	3	0	3
1479ccc68f15234dba38c43d1e6843a3	2015-08-24	3	0	3
1479ccc68f15234dba38c43d1e6843a3	2014-04-21	3	0	3
147e0b15b265487ccd83ba7a8df84b91	2017-09-14	1	0	NA
147e0b15b265487ccd83ba7a8df84b91	2016-09-28	1	0	1
147e0b15b265487ccd83ba7a8df84b91	2014-03-03	1	0	1
147e0b15b265487ccd83ba7a8df84b91	2013-06-26	2	0	1
149e078d84f3cda9468daeb2454bec32	2017-06-09	2	0	NA
149e078d84f3cda9468daeb2454bec32	2017-03-20	4	0	2
149e078d84f3cda9468daeb2454bec32	2016-10-11	4	0	4
14e662173b400259a911fb264578c277	2018-08-01	1	0	NA
14e662173b400259a911fb264578c277	2016-08-08	3	0	1
14e662173b400259a911fb264578c277	2014-10-07	3	0	3
14f62ccf6ece2893ae8d7bb1adb9f10b	2019-09-24	0	0	NA
14f62ccf6ece2893ae8d7bb1adb9f10b	2013-08-02	4	0	0
14f62ccf6ece2893ae8d7bb1adb9f10b	2012-08-10	4	0	4
14f62ccf6ece2893ae8d7bb1adb9f10b	2012-02-01	4	0	4
14f7f0e9e2b049921d6b8edd0ab06c6b	2015-06-23	1	0	NA
14f7f0e9e2b049921d6b8edd0ab06c6b	2014-06-12	3	0	1
154b214568c45e6db3b6fe7c5f002bab	2018-05-07	1	0	NA
154b214568c45e6db3b6fe7c5f002bab	2018-01-02	2	1	1
154b214568c45e6db3b6fe7c5f002bab	2017-07-21	2	0	2
154b214568c45e6db3b6fe7c5f002bab	2015-06-01	1	0	2
154b214568c45e6db3b6fe7c5f002bab	2014-11-17	1	0	1
1564e2bb04dd5cb9ebe1d580cf6368e5	2009-07-21	0	NA	NA
1564e2bb04dd5cb9ebe1d580cf6368e5	2009-03-15	1	NA	0
15674236f419cd6711720ee3f0964999	2018-03-21	1	0	NA
15674236f419cd6711720ee3f0964999	2017-03-20	2	0	1
15674236f419cd6711720ee3f0964999	2016-09-08	2	0	2
15674236f419cd6711720ee3f0964999	2016-03-04	2	1	2
15674236f419cd6711720ee3f0964999	2015-10-20	2	0	2
15674236f419cd6711720ee3f0964999	2013-03-01	2	1	2
15674236f419cd6711720ee3f0964999	2011-08-23	2	0	2
15674236f419cd6711720ee3f0964999	2010-04-08	2	NA	2
15a151416b0439ac5db4913c7b8c1f50	2016-08-18	2	0	NA
15a151416b0439ac5db4913c7b8c1f50	2015-08-12	6	0	2
15a7b1006cb87573e737ac4a28cf6c0b	2017-10-02	1	0	NA
15a7b1006cb87573e737ac4a28cf6c0b	2014-07-02	3	0	1
15b62ba8745796e541b77ae2775fc3d2	2018-02-01	1	0	NA
15b62ba8745796e541b77ae2775fc3d2	2017-08-02	2	0	1
15b62ba8745796e541b77ae2775fc3d2	2014-04-01	1	0	2
15b62ba8745796e541b77ae2775fc3d2	2013-11-06	0	0	1
15b62ba8745796e541b77ae2775fc3d2	2013-04-19	1	0	0
15b62ba8745796e541b77ae2775fc3d2	2011-05-25	1	0	1
15ca9ff10c66f9707b11e90a8b638605	2016-05-02	1	0	NA
15ca9ff10c66f9707b11e90a8b638605	2015-09-09	3	0	1
1606705e3d695669e8e82df012ca8121	2018-05-28	1	0	NA
1606705e3d695669e8e82df012ca8121	2018-01-04	2	0	1
1606705e3d695669e8e82df012ca8121	2017-09-01	1	0	2
160d4031da8bc68db9fd15780362fab0	2016-08-16	0	0	NA
160d4031da8bc68db9fd15780362fab0	2015-07-09	2	0	0
1629366960de347e7dc52c5b96cdab3c	2019-01-25	0	0	NA
1629366960de347e7dc52c5b96cdab3c	2016-03-17	2	0	0
1651c640ff47a94aaa1be86c06f981ed	2016-12-12	0	0	NA
1651c640ff47a94aaa1be86c06f981ed	2011-05-18	1	0	0
1651f60a0107143cf5f9ede72234ab45	2014-12-30	2	0	NA
1651f60a0107143cf5f9ede72234ab45	2013-10-01	3	0	2
16745e2658996a68e5c2f2e0153f92b8	2018-12-22	0	0	NA
16745e2658996a68e5c2f2e0153f92b8	2011-09-12	0	1	0
16745e2658996a68e5c2f2e0153f92b8	2010-06-09	0	NA	0
16745e2658996a68e5c2f2e0153f92b8	2009-11-19	1	NA	0
16ad7c84596bce87fb47388392e2547a	2017-08-07	2	0	NA
16ad7c84596bce87fb47388392e2547a	2016-08-05	5	0	2
16ad7c84596bce87fb47388392e2547a	2015-04-06	4	0	5
16ad7c84596bce87fb47388392e2547a	2014-01-13	2	0	4
171c115471227457e96da1ea7c4ac577	2017-11-01	4	0	NA
171c115471227457e96da1ea7c4ac577	2017-04-13	2	0	4
171c115471227457e96da1ea7c4ac577	2017-01-31	4	0	2
171fb2fa4a896b3d41368983274b77af	2012-12-20	0	0	NA
171fb2fa4a896b3d41368983274b77af	2011-12-13	1	0	0
173230713f65c54398616d34a1a23549	2015-01-22	1	0	NA
173230713f65c54398616d34a1a23549	2013-02-04	0	0	1
173230713f65c54398616d34a1a23549	2010-04-08	1	NA	0
174f218e7c5dba0e3ce71c6d14deea11	2016-04-16	3	0	NA
174f218e7c5dba0e3ce71c6d14deea11	2012-02-08	1	0	3
174f218e7c5dba0e3ce71c6d14deea11	2011-08-19	2	2	1
175d4c43401c2647ad3dcd3f3c3d3244	2016-09-26	0	0	NA
175d4c43401c2647ad3dcd3f3c3d3244	2015-10-07	2	0	0
175d890d8048738b3b12a3cbbc947a50	2019-09-02	3	0	NA
175d890d8048738b3b12a3cbbc947a50	2017-07-04	4	0	3
1767ecb5c901c7227c11ba9587009ed8	2016-10-17	3	0	NA
1767ecb5c901c7227c11ba9587009ed8	2015-06-06	32	0	3
176953182270c6e38d54adfb7b0e377a	2017-03-14	1	0	NA
176953182270c6e38d54adfb7b0e377a	2016-05-23	2	0	1
176953182270c6e38d54adfb7b0e377a	2011-06-22	1	0	2
1785682b0a4f2e823144cf98e3def01e	2018-03-15	0	0	NA
1785682b0a4f2e823144cf98e3def01e	2013-01-01	1	0	0
17a61046908eeb58f8ed548280811f77	2013-02-28	0	0	NA
17a61046908eeb58f8ed548280811f77	2010-11-15	1	NA	0
17cc7d1a690ee549ec2bfe9b95589957	2014-03-24	1	0	NA
17cc7d1a690ee549ec2bfe9b95589957	2013-01-15	2	0	1
17f2c93d3876ab48c13ac90437d4726a	2019-01-07	3	0	NA
17f2c93d3876ab48c13ac90437d4726a	2017-10-01	2	0	3
17f2c93d3876ab48c13ac90437d4726a	2017-01-24	3	0	2
17f2c93d3876ab48c13ac90437d4726a	2015-11-12	2	0	3
18108c3c9f64257d8fd002fa6a35c0c5	2013-08-02	2	0	NA
18108c3c9f64257d8fd002fa6a35c0c5	2010-11-09	3	NA	2
18153f6dc689dd9ece79f56648135d8f	2018-11-29	1	0	NA
18153f6dc689dd9ece79f56648135d8f	2013-01-28	3	0	1
186e9475679f5cd4fb624470f68796e4	2019-09-30	1	0	NA
186e9475679f5cd4fb624470f68796e4	2019-05-30	2	0	1
186e9475679f5cd4fb624470f68796e4	2018-10-18	2	0	2
18a1df2d7e666e456f7618af67eedaab	2011-09-02	3	0	NA
18a1df2d7e666e456f7618af67eedaab	2011-05-03	2	0	3
18a1df2d7e666e456f7618af67eedaab	2011-04-18	1	0	2
18a1df2d7e666e456f7618af67eedaab	2009-08-24	2	NA	1
18b1d7903af27ea6886c4671eecdcc77	2018-06-26	2	0	NA
18b1d7903af27ea6886c4671eecdcc77	2014-07-15	3	0	2
18b1d7903af27ea6886c4671eecdcc77	2013-07-18	2	0	3
18c4a59a3fffe5e2124b7ef833f37c80	2019-03-28	2	0	NA
18c4a59a3fffe5e2124b7ef833f37c80	2018-12-18	3	0	2
1917c1674dae870f6cb7820838045841	2013-10-03	2	0	NA
1917c1674dae870f6cb7820838045841	2013-06-06	3	0	2
1932d5044fd3514c8ddafd2d6d860b2c	2019-05-27	1	0	NA
1932d5044fd3514c8ddafd2d6d860b2c	2017-12-14	2	0	1
1932d5044fd3514c8ddafd2d6d860b2c	2014-12-19	2	0	2
193b3ae1e4f699b98e0d0c0def91ce9b	2017-11-02	0	0	NA
193b3ae1e4f699b98e0d0c0def91ce9b	2016-06-28	1	0	0
19509285622dc0357c2d633980b929f9	2017-04-18	2	0	NA
19509285622dc0357c2d633980b929f9	2016-02-22	1	0	2
19509285622dc0357c2d633980b929f9	2013-08-13	1	0	1
19509285622dc0357c2d633980b929f9	2013-05-22	2	0	1
19509285622dc0357c2d633980b929f9	2013-02-26	1	0	2
19509285622dc0357c2d633980b929f9	2012-06-28	1	1	1
1951c4d080cda8b68759d638a840d82f	2017-04-17	1	0	NA
1951c4d080cda8b68759d638a840d82f	2016-12-19	3	0	1
1951c4d080cda8b68759d638a840d82f	2015-12-01	3	0	3
1951c4d080cda8b68759d638a840d82f	2013-12-13	3	0	3
1951c4d080cda8b68759d638a840d82f	2012-03-15	3	0	3
196d5b88fd2d29a79eaf4031f9857000	2012-07-20	0	0	NA
196d5b88fd2d29a79eaf4031f9857000	2010-06-16	1	NA	0
197c2d0dfff5ee73358cdffe541524cb	2012-07-02	1	1	NA
197c2d0dfff5ee73358cdffe541524cb	2010-01-20	2	NA	1
198581f62efb45dc0e9ed19e47104fa2	2013-08-30	0	0	NA
198581f62efb45dc0e9ed19e47104fa2	2010-09-29	1	NA	0
1994c7cd806a0ccf1f2457e81c2593cd	2017-02-16	1	0	NA
1994c7cd806a0ccf1f2457e81c2593cd	2014-08-25	2	0	1
1996d593026ded63c6bbd768acfa3a3f	2018-12-04	3	0	NA
1996d593026ded63c6bbd768acfa3a3f	2018-10-16	2	0	3
1996d593026ded63c6bbd768acfa3a3f	2016-05-18	3	0	2
1996d593026ded63c6bbd768acfa3a3f	2012-03-12	1	0	3
1996d593026ded63c6bbd768acfa3a3f	2009-05-18	2	NA	1
19cdcec84063ed53c367aa9753e0f0a1	2014-11-18	1	0	NA
19cdcec84063ed53c367aa9753e0f0a1	2014-05-29	1	0	1
19cdcec84063ed53c367aa9753e0f0a1	2013-09-05	1	0	1
19cdcec84063ed53c367aa9753e0f0a1	2013-04-18	0	0	1
19cdcec84063ed53c367aa9753e0f0a1	2012-01-26	1	0	0
19cdcec84063ed53c367aa9753e0f0a1	2010-01-21	1	NA	1
19d3c983541ed4ae6974cb2d0cd49b60	2013-04-13	1	0	NA
19d3c983541ed4ae6974cb2d0cd49b60	2011-03-14	2	0	1
19e6b74126c65d2fb7c226f48a582733	2017-04-17	2	0	NA
19e6b74126c65d2fb7c226f48a582733	2013-08-26	3	0	2
1a0c572eb98fef8dc1b3ce80f141b289	2019-09-05	3	0	NA
1a0c572eb98fef8dc1b3ce80f141b289	2019-04-26	3	0	3
1a0c572eb98fef8dc1b3ce80f141b289	2019-03-26	4	0	3
1a0c572eb98fef8dc1b3ce80f141b289	2018-07-31	4	0	4
1a0c572eb98fef8dc1b3ce80f141b289	2016-04-11	6	0	4
1a522e72424746ec8fdd2ab78d1f5fc1	2019-02-07	0	0	NA
1a522e72424746ec8fdd2ab78d1f5fc1	2011-07-22	1	0	0
1a61e1aac84b26b583b21095fe5978f9	2019-07-12	4	0	NA
1a61e1aac84b26b583b21095fe5978f9	2015-03-19	3	2	4
1a61e1aac84b26b583b21095fe5978f9	2014-06-17	4	0	3
1a61e1aac84b26b583b21095fe5978f9	2013-11-22	4	0	4
1a62fecc04a2ada20c0786245a5aa586	2015-11-02	2	0	NA
1a62fecc04a2ada20c0786245a5aa586	2015-01-06	3	0	2
1a69f8e5d979a33458be113c163f21c6	2016-01-20	1	0	NA
1a69f8e5d979a33458be113c163f21c6	2015-07-15	1	0	1
1a69f8e5d979a33458be113c163f21c6	2014-11-10	1	0	1
1a69f8e5d979a33458be113c163f21c6	2014-03-28	1	0	1
1a69f8e5d979a33458be113c163f21c6	2013-05-08	7	0	1
1a6b44f06f4cd42e31df836043a33700	2014-03-10	2	0	NA
1a6b44f06f4cd42e31df836043a33700	2013-03-14	3	0	2
1a71e577f8e352506c585b7633b84b04	2019-08-19	0	0	NA
1a71e577f8e352506c585b7633b84b04	2018-10-16	0	0	0
1a71e577f8e352506c585b7633b84b04	2017-04-11	1	0	0
1a71e577f8e352506c585b7633b84b04	2017-03-03	0	0	1
1a71e577f8e352506c585b7633b84b04	2017-01-10	0	0	0
1a71e577f8e352506c585b7633b84b04	2016-10-12	0	0	0
1a87fff38e00f68f33deb06f0ba220d4	2019-01-23	1	0	NA
1a87fff38e00f68f33deb06f0ba220d4	2017-01-19	0	0	1
1a87fff38e00f68f33deb06f0ba220d4	2016-12-19	1	0	0
1a87fff38e00f68f33deb06f0ba220d4	2011-01-04	1	0	1
1ab34b3471f8aa4b90b9fea68f925f22	2018-11-01	0	0	NA
1ab34b3471f8aa4b90b9fea68f925f22	2017-07-14	1	0	0
1ac15d60bdbbd9c65ea645f4a023934b	2017-10-03	1	0	NA
1ac15d60bdbbd9c65ea645f4a023934b	2016-12-14	2	0	1
1ad1b081c56edd8b4a1d627cbb60e614	2019-04-16	1	0	NA
1ad1b081c56edd8b4a1d627cbb60e614	2009-10-22	2	NA	1
1b2a10b0ba8d9c30d1478d4a52d4638d	2015-02-05	4	0	NA
1b2a10b0ba8d9c30d1478d4a52d4638d	2012-03-21	6	0	4
1b7c2cf9d9e8f9805539c6285614491b	2014-11-06	0	0	NA
1b7c2cf9d9e8f9805539c6285614491b	2012-04-04	2	0	0
1b8cddc46cf1c99035a96ba191bf7764	2019-06-26	0	0	NA
1b8cddc46cf1c99035a96ba191bf7764	2012-08-06	1	0	0
1b949921561e79963118ffc6ec808f9e	2019-02-25	5	0	NA
1b949921561e79963118ffc6ec808f9e	2018-09-27	4	0	5
1b949921561e79963118ffc6ec808f9e	2018-07-17	5	0	4
1b949921561e79963118ffc6ec808f9e	2018-05-08	5	0	5
1b949921561e79963118ffc6ec808f9e	2017-01-18	3	0	5
1b949921561e79963118ffc6ec808f9e	2010-05-17	3	NA	3
1ba1699d83733b50c12cbb541779541e	2017-07-31	1	0	NA
1ba1699d83733b50c12cbb541779541e	2012-07-23	1	1	1
1ba1699d83733b50c12cbb541779541e	2011-06-06	2	2	1
1ba1699d83733b50c12cbb541779541e	2010-01-05	1	NA	2
1ba550753bc8cd83eca7660800a932cd	2014-03-04	1	0	NA
1ba550753bc8cd83eca7660800a932cd	2011-07-05	2	0	1
1bebe79e3b145505a9119db73c6b4cee	2019-07-11	0	0	NA
1bebe79e3b145505a9119db73c6b4cee	2016-03-21	2	0	0
1c03c5de2b51eacd0d9cd639371e778e	2016-09-28	1	0	NA
1c03c5de2b51eacd0d9cd639371e778e	2015-08-10	3	0	1
1c13432f9ca4c2ec872254a8e4584718	2019-06-11	2	0	NA
1c13432f9ca4c2ec872254a8e4584718	2018-05-09	2	0	2
1c13432f9ca4c2ec872254a8e4584718	2016-08-08	1	0	2
1c13432f9ca4c2ec872254a8e4584718	2016-02-11	2	0	1
1c2a5e670b2b0be4ee8999f6bbc37cba	2016-12-26	4	0	NA
1c2a5e670b2b0be4ee8999f6bbc37cba	2016-04-20	2	0	4
1c2a5e670b2b0be4ee8999f6bbc37cba	2015-01-13	4	0	2
1c2b50610ba090cb89f27188b0605853	2018-02-20	0	0	NA
1c2b50610ba090cb89f27188b0605853	2017-03-27	1	0	0
1c2b50610ba090cb89f27188b0605853	2015-05-29	1	0	1
1c4cad23f15011394492e8fe2cb064e1	2015-07-28	1	0	NA
1c4cad23f15011394492e8fe2cb064e1	2014-10-10	2	0	1
1c4fa4a3df5b21d54ce7e1d73f5705dd	2011-01-03	2	2	NA
1c4fa4a3df5b21d54ce7e1d73f5705dd	2010-07-06	4	NA	2
1c5d3494277f7411804b8f8805079d86	2019-05-24	0	0	NA
1c5d3494277f7411804b8f8805079d86	2015-06-08	1	0	0
1c5ebd26e06f871df925ef2914bd99bb	2019-07-08	1	0	NA
1c5ebd26e06f871df925ef2914bd99bb	2019-02-07	2	0	1
1cb417c02fdb04fa224a2799fb14d2e7	2019-09-24	11	0	NA
1cb417c02fdb04fa224a2799fb14d2e7	2017-08-22	12	0	11
1cb417c02fdb04fa224a2799fb14d2e7	2017-02-08	14	0	12
1cb417c02fdb04fa224a2799fb14d2e7	2010-04-05	6	NA	14
1cc11ae38521d358d12f8326104e6f06	2012-06-27	0	0	NA
1cc11ae38521d358d12f8326104e6f06	2010-04-23	1	NA	0
1cd5c76133c655247b968501e32fa1a3	2018-10-23	1	0	NA
1cd5c76133c655247b968501e32fa1a3	2017-07-04	2	0	1
1ce3f387fdf6193feb88f8d9cbfdcaca	2016-12-01	3	0	NA
1ce3f387fdf6193feb88f8d9cbfdcaca	2016-07-15	4	0	3
1ce631d787d7688d28482eed1230dc25	2015-04-07	2	0	NA
1ce631d787d7688d28482eed1230dc25	2015-01-27	0	0	2
1ce631d787d7688d28482eed1230dc25	2013-10-29	2	0	0
1ce631d787d7688d28482eed1230dc25	2013-04-16	0	0	2
1ce631d787d7688d28482eed1230dc25	2013-02-08	2	0	0
1d452957a661b95c86bdfafae0f0f89f	2018-06-06	4	0	NA
1d452957a661b95c86bdfafae0f0f89f	2015-10-13	3	0	4
1d452957a661b95c86bdfafae0f0f89f	2015-08-20	3	0	3
1d452957a661b95c86bdfafae0f0f89f	2013-06-25	4	0	3
1d452957a661b95c86bdfafae0f0f89f	2011-05-20	2	0	4
1d452957a661b95c86bdfafae0f0f89f	2010-08-16	2	NA	2
1d452957a661b95c86bdfafae0f0f89f	2010-02-11	2	NA	2
1d75492e6c1f0b4ca71fb1a1282a9c2c	2016-06-01	4	0	NA
1d75492e6c1f0b4ca71fb1a1282a9c2c	2015-10-01	5	0	4
1d75492e6c1f0b4ca71fb1a1282a9c2c	2015-06-16	5	0	5
1d75492e6c1f0b4ca71fb1a1282a9c2c	2015-01-07	4	0	5
1d8123ac4b3bf5c027337adb4c33bfae	2016-02-26	4	0	NA
1d8123ac4b3bf5c027337adb4c33bfae	2015-06-30	10	0	4
1d9452323f314924713b3da1f16c730b	2018-06-14	2	0	NA
1d9452323f314924713b3da1f16c730b	2016-06-20	3	0	2
1d9452323f314924713b3da1f16c730b	2013-12-10	3	0	3
1d9452323f314924713b3da1f16c730b	2013-11-07	3	0	3
1d9e72d4d68601466ea3c516e20d3b65	2019-10-15	2	0	NA
1d9e72d4d68601466ea3c516e20d3b65	2018-07-03	3	0	2
1db7f8319e4fc18233073c6c8c2a2eb4	2019-04-01	1	0	NA
1db7f8319e4fc18233073c6c8c2a2eb4	2017-08-22	2	0	1
1dc260abad334cf0af2f376b805439fa	2019-06-04	1	0	NA
1dc260abad334cf0af2f376b805439fa	2015-04-01	3	0	1
1dcee8db12dc1f4147f679bd7fed3125	2018-02-27	3	0	NA
1dcee8db12dc1f4147f679bd7fed3125	2014-06-11	5	0	3
1e0a560eb027e3841528cbcf901b47a6	2019-06-10	2	0	NA
1e0a560eb027e3841528cbcf901b47a6	2018-08-31	2	0	2
1e0a560eb027e3841528cbcf901b47a6	2017-10-20	3	0	2
1e241a144cf54370a88c9ca8aea6a617	2019-07-12	2	2	NA
1e241a144cf54370a88c9ca8aea6a617	2019-02-21	2	0	2
1e241a144cf54370a88c9ca8aea6a617	2012-10-18	2	0	2
1e241a144cf54370a88c9ca8aea6a617	2012-10-10	0	0	2
1e241a144cf54370a88c9ca8aea6a617	2012-08-27	0	0	0
1e241a144cf54370a88c9ca8aea6a617	2012-06-18	0	0	0
1e241a144cf54370a88c9ca8aea6a617	2011-03-01	1	0	0
1ec4a71f5b27eadadb8c07f8185d7266	2013-12-09	2	0	NA
1ec4a71f5b27eadadb8c07f8185d7266	2013-01-08	3	0	2
1ec4a71f5b27eadadb8c07f8185d7266	2010-05-19	1	NA	3
1eca8790ac0b75599a85e6765bda726f	2015-10-02	2	0	NA
1eca8790ac0b75599a85e6765bda726f	2014-02-21	3	0	2
1eca8790ac0b75599a85e6765bda726f	2011-02-02	2	0	3
1ef13f46c2cfe0f9e9307c032cf2216b	2019-02-15	1	0	NA
1ef13f46c2cfe0f9e9307c032cf2216b	2015-07-27	2	0	1
1f4a61c1a843991db491abd70c6a119c	2014-05-09	1	0	NA
1f4a61c1a843991db491abd70c6a119c	2013-05-15	3	0	1
1f4a61c1a843991db491abd70c6a119c	2011-04-11	3	0	3
1f4c47eb6739a2b41f1a7df586377f23	2013-09-25	1	0	NA
1f4c47eb6739a2b41f1a7df586377f23	2012-07-30	1	0	1
1f4c47eb6739a2b41f1a7df586377f23	2012-03-09	3	0	1
1f722d2c0cd5fa50fb5157fdbebd7a42	2011-04-06	2	0	NA
1f722d2c0cd5fa50fb5157fdbebd7a42	2010-12-02	3	NA	2
1f8180364f85c8eea346fde008b0abb1	2015-04-10	2	0	NA
1f8180364f85c8eea346fde008b0abb1	2011-09-12	0	0	2
1f8180364f85c8eea346fde008b0abb1	2011-05-25	1	1	0
1f8cb56122cd13f4df317f7f955f218c	2018-09-27	2	0	NA
1f8cb56122cd13f4df317f7f955f218c	2014-11-10	1	0	2
1f8cb56122cd13f4df317f7f955f218c	2014-02-03	2	0	1
1f9a845b4895b5328d156fec35052f3b	2017-02-24	2	0	NA
1f9a845b4895b5328d156fec35052f3b	2017-01-16	4	1	2
203ba51d8b969538ad11006bba00e47d	2019-05-22	3	1	NA
203ba51d8b969538ad11006bba00e47d	2011-10-24	1	0	3
203ba51d8b969538ad11006bba00e47d	2011-08-04	2	0	1
205699f4d71fa7bf7a306b8710d75e92	2019-01-24	0	0	NA
205699f4d71fa7bf7a306b8710d75e92	2017-03-02	3	0	0
2071024eb684a7c0a9bcf4542ce87347	2019-09-16	1	0	NA
2071024eb684a7c0a9bcf4542ce87347	2019-02-04	3	0	1
2071024eb684a7c0a9bcf4542ce87347	2015-12-02	3	0	3
20751ab9c365a8453b3878339693ca49	2019-09-26	4	0	NA
20751ab9c365a8453b3878339693ca49	2018-04-06	0	0	4
20751ab9c365a8453b3878339693ca49	2017-03-23	4	0	0
2079e00b114e3bfb5965171d89ba2724	2019-04-04	3	0	NA
2079e00b114e3bfb5965171d89ba2724	2015-06-02	4	0	3
207fa1bdf5301af411f38916f834eb8d	2013-01-01	2	0	NA
207fa1bdf5301af411f38916f834eb8d	2012-11-08	4	0	2
207fa1bdf5301af411f38916f834eb8d	2012-08-09	4	0	4
20b52fdfa5bf46267864df073d84efa4	2015-09-03	3	3	NA
20b52fdfa5bf46267864df073d84efa4	2012-03-16	4	0	3
20d838c2390d0ee14fa186048b106ee9	2011-07-01	2	0	NA
20d838c2390d0ee14fa186048b106ee9	2009-08-20	3	NA	2
211fa9f9c109d025b45837d5b842a380	2019-06-03	2	0	NA
211fa9f9c109d025b45837d5b842a380	2015-05-11	3	0	2
218d2b19172c87624be7ac94b1e30196	2015-07-23	2	0	NA
218d2b19172c87624be7ac94b1e30196	2013-05-07	2	0	2
218d2b19172c87624be7ac94b1e30196	2013-04-08	3	0	2
2196c74658fbac3ccdf02f1e0a87e812	2016-09-01	2	0	NA
2196c74658fbac3ccdf02f1e0a87e812	2016-07-20	1	0	2
2196c74658fbac3ccdf02f1e0a87e812	2013-06-17	2	0	1
2196c74658fbac3ccdf02f1e0a87e812	2010-12-22	2	0	2
2196c74658fbac3ccdf02f1e0a87e812	2010-07-13	2	NA	2
21a9357d640fd55250732e68bdac6909	2014-08-20	1	0	NA
21a9357d640fd55250732e68bdac6909	2014-05-22	1	0	1
21a9357d640fd55250732e68bdac6909	2013-05-23	0	0	1
21a9357d640fd55250732e68bdac6909	2013-02-07	1	0	0
21ed095df2af2037e3b220084d5cead3	2015-01-07	3	0	NA
21ed095df2af2037e3b220084d5cead3	2014-03-18	3	0	3
21ed095df2af2037e3b220084d5cead3	2010-03-23	4	NA	3
21f14fde82444ededc296457c4dd3ef4	2017-09-28	3	0	NA
21f14fde82444ededc296457c4dd3ef4	2016-03-15	4	0	3
21f14fde82444ededc296457c4dd3ef4	2013-11-04	4	0	4
21f14fde82444ededc296457c4dd3ef4	2012-05-02	4	0	4
21f998e7f9fadbb359940051f0337e1f	2014-07-31	3	0	NA
21f998e7f9fadbb359940051f0337e1f	2013-03-06	4	0	3
21f998e7f9fadbb359940051f0337e1f	2009-10-19	2	NA	4
2233d1ee546926dda80fb85859d31e7d	2014-07-25	2	0	NA
2233d1ee546926dda80fb85859d31e7d	2014-06-27	3	0	2
2233d1ee546926dda80fb85859d31e7d	2013-12-26	3	0	3
225688bab3d38f6694f3d65539dadeac	2018-07-09	1	0	NA
225688bab3d38f6694f3d65539dadeac	2016-12-13	2	0	1
226d243bcd988a11d574ce0e0f34100c	2015-02-13	2	0	NA
226d243bcd988a11d574ce0e0f34100c	2012-12-17	3	0	2
227c1a1386cc899b9c81c9f3abf2b2c0	2016-12-15	1	0	NA
227c1a1386cc899b9c81c9f3abf2b2c0	2015-09-24	1	0	1
227c1a1386cc899b9c81c9f3abf2b2c0	2015-01-15	0	0	1
227c1a1386cc899b9c81c9f3abf2b2c0	2014-10-07	1	0	0
22c1d4720bf211f3e53cd2d52a29b73f	2011-10-11	4	0	NA
22c1d4720bf211f3e53cd2d52a29b73f	2010-07-26	5	NA	4
2335ccc5571df587a0d4d25c77417f9b	2019-01-02	1	0	NA
2335ccc5571df587a0d4d25c77417f9b	2014-04-28	2	0	1
2335ccc5571df587a0d4d25c77417f9b	2012-05-10	1	0	2
237b127275267aed4860f7c844cca6fc	2017-03-16	2	0	NA
237b127275267aed4860f7c844cca6fc	2015-07-17	2	0	2
237b127275267aed4860f7c844cca6fc	2014-08-25	3	0	2
239caf28db987f661c851a6cddee5a5c	2015-02-09	5	0	NA
239caf28db987f661c851a6cddee5a5c	2014-11-20	7	1	5
239efe533305081f36d815af14f62d51	2018-08-01	2	0	NA
239efe533305081f36d815af14f62d51	2016-12-23	2	0	2
239efe533305081f36d815af14f62d51	2016-03-30	1	0	2
239efe533305081f36d815af14f62d51	2015-08-27	0	0	1
239efe533305081f36d815af14f62d51	2013-07-05	1	0	0
239efe533305081f36d815af14f62d51	2012-01-26	1	0	1
239efe533305081f36d815af14f62d51	2010-01-06	0	NA	1
23b64b8e7c3afebd0a8df0f85ede6964	2016-03-16	0	0	NA
23b64b8e7c3afebd0a8df0f85ede6964	2015-08-21	2	0	0
23dc8f6c16e5160d336189a58af3b449	2018-11-20	2	0	NA
23dc8f6c16e5160d336189a58af3b449	2018-07-12	3	0	2
23dc8f6c16e5160d336189a58af3b449	2018-06-04	3	0	3
23dc8f6c16e5160d336189a58af3b449	2015-08-19	3	0	3
24118dbff81807b7289005be78444b72	2018-10-08	4	0	NA
24118dbff81807b7289005be78444b72	2015-05-06	5	0	4
24118dbff81807b7289005be78444b72	2011-05-31	0	0	5
24137230afbe1bc3c6389bb779cc80c6	2012-11-06	1	0	NA
24137230afbe1bc3c6389bb779cc80c6	2012-02-21	3	0	1
2442bbd27d1338409d45b1d6ceb1cbaf	2017-04-04	1	0	NA
2442bbd27d1338409d45b1d6ceb1cbaf	2016-08-22	2	0	1
245112d5008dd3901d96148e45b64acb	2012-08-01	2	0	NA
245112d5008dd3901d96148e45b64acb	2012-05-26	1	0	2
245112d5008dd3901d96148e45b64acb	2011-01-11	2	1	1
24570bb717b5c9e22defb276e2b07c94	2016-03-22	0	0	NA
24570bb717b5c9e22defb276e2b07c94	2014-07-01	1	0	0
245ce3d17c6c5b12e07b7576c637b864	2012-04-04	1	0	NA
245ce3d17c6c5b12e07b7576c637b864	2011-06-22	4	0	1
245ead44726963518c4b7b3abf1d9579	2014-10-10	2	0	NA
245ead44726963518c4b7b3abf1d9579	2013-11-14	4	0	2
245ead44726963518c4b7b3abf1d9579	2012-06-18	2	2	4
2461c8278449b2021078fc3a79eab1b5	2018-11-12	2	0	NA
2461c8278449b2021078fc3a79eab1b5	2016-12-23	0	0	2
2461c8278449b2021078fc3a79eab1b5	2016-06-29	1	0	0
2461c8278449b2021078fc3a79eab1b5	2015-02-25	2	0	1
246297fc34db55340250c8dd2b7b05de	2017-12-05	1	0	NA
246297fc34db55340250c8dd2b7b05de	2016-06-14	2	0	1
246297fc34db55340250c8dd2b7b05de	2016-02-11	2	0	2
2465cd401723da68a6adc2531b45a69d	2017-11-27	3	0	NA
2465cd401723da68a6adc2531b45a69d	2014-01-15	3	0	3
2465cd401723da68a6adc2531b45a69d	2012-05-28	2	0	3
2465cd401723da68a6adc2531b45a69d	2012-03-15	3	0	2
24b71e0eb1f2556d424b72972ecc5533	2016-12-27	3	0	NA
24b71e0eb1f2556d424b72972ecc5533	2013-01-21	4	0	3
24b71e0eb1f2556d424b72972ecc5533	2012-01-19	4	0	4
24b7cf385b0c8b9688b720161fe04d1a	2017-11-16	0	0	NA
24b7cf385b0c8b9688b720161fe04d1a	2013-02-18	1	0	0
24c1108effa51429e959e5f49836784c	2015-11-03	2	0	NA
24c1108effa51429e959e5f49836784c	2015-01-12	4	0	2
24c1108effa51429e959e5f49836784c	2012-10-09	2	2	4
24c1108effa51429e959e5f49836784c	2011-11-23	2	0	2
24ed54ee3bca4b9beea57626a1f53c3e	2016-07-04	5	0	NA
24ed54ee3bca4b9beea57626a1f53c3e	2014-10-01	4	0	5
24ed54ee3bca4b9beea57626a1f53c3e	2014-06-12	2	0	4
24ed54ee3bca4b9beea57626a1f53c3e	2010-04-26	3	NA	2
254f909c18d568bcc2b7b084bd32d0e3	2018-02-01	2	0	NA
254f909c18d568bcc2b7b084bd32d0e3	2014-12-17	2	0	2
254f909c18d568bcc2b7b084bd32d0e3	2013-02-26	3	0	2
254f909c18d568bcc2b7b084bd32d0e3	2009-04-01	2	NA	3
2551c929a8378621803556eaeb8c647c	2018-03-01	4	0	NA
2551c929a8378621803556eaeb8c647c	2017-09-01	5	0	4
25ada143dff2b363e7bc92b10a65050b	2013-12-10	2	0	NA
25ada143dff2b363e7bc92b10a65050b	2013-06-10	4	0	2
25b42f7425eafc5abd3d088ceb57eeb9	2019-09-03	3	0	NA
25b42f7425eafc5abd3d088ceb57eeb9	2018-12-27	4	0	3
25b42f7425eafc5abd3d088ceb57eeb9	2017-12-07	4	0	4
25c36b6820ac514094c458ba22918452	2018-09-01	2	0	NA
25c36b6820ac514094c458ba22918452	2017-08-02	2	0	2
25c36b6820ac514094c458ba22918452	2017-05-03	2	0	2
25c36b6820ac514094c458ba22918452	2016-08-18	2	0	2
25c36b6820ac514094c458ba22918452	2016-05-27	2	0	2
25c36b6820ac514094c458ba22918452	2016-03-04	2	0	2
25c36b6820ac514094c458ba22918452	2016-01-04	2	0	2
25c36b6820ac514094c458ba22918452	2015-09-24	2	0	2
25c36b6820ac514094c458ba22918452	2015-02-11	1	0	2
25c36b6820ac514094c458ba22918452	2014-08-05	1	1	1
25c36b6820ac514094c458ba22918452	2012-10-04	2	0	1
25c36b6820ac514094c458ba22918452	2011-01-31	2	2	2
25c36b6820ac514094c458ba22918452	2010-08-20	2	NA	2
25db77a0790d6ae302435b21c005627d	2012-08-13	1	0	NA
25db77a0790d6ae302435b21c005627d	2012-03-02	1	0	1
25db77a0790d6ae302435b21c005627d	2011-03-01	4	0	1
25dd70fa4e04539bbd6e711f37e72e5f	2019-07-23	1	0	NA
25dd70fa4e04539bbd6e711f37e72e5f	2017-12-06	3	0	1
25dd70fa4e04539bbd6e711f37e72e5f	2014-09-16	3	0	3
25f715a0d11704b9bab6f5e717df6eeb	2016-07-18	1	0	NA
25f715a0d11704b9bab6f5e717df6eeb	2011-01-17	2	0	1
2604ae4f16cb1b1c29ccb7bcad79e684	2017-08-17	3	0	NA
2604ae4f16cb1b1c29ccb7bcad79e684	2015-02-19	3	0	3
2604ae4f16cb1b1c29ccb7bcad79e684	2012-07-11	3	0	3
2604ae4f16cb1b1c29ccb7bcad79e684	2012-01-26	3	1	3
2604ae4f16cb1b1c29ccb7bcad79e684	2011-11-04	1	0	3
2604ae4f16cb1b1c29ccb7bcad79e684	2011-06-28	3	1	1
260f4147c29bae37227dbc0c25059c37	2014-02-11	1	0	NA
260f4147c29bae37227dbc0c25059c37	2011-03-15	2	0	1
260f4147c29bae37227dbc0c25059c37	2010-11-09	1	NA	2
2631c045ca7a924cf7c6611d45b16110	2019-03-30	2	0	NA
2631c045ca7a924cf7c6611d45b16110	2018-10-24	1	0	2
2631c045ca7a924cf7c6611d45b16110	2017-08-08	2	0	1
2631c045ca7a924cf7c6611d45b16110	2017-07-04	2	0	2
2658393d79c690e53c47ebd0c01f5541	2019-04-04	0	0	NA
2658393d79c690e53c47ebd0c01f5541	2016-04-21	1	0	0
2658393d79c690e53c47ebd0c01f5541	2015-03-06	1	0	1
2658393d79c690e53c47ebd0c01f5541	2014-02-20	0	0	1
26c085fc9e28fe6279bd03c4e7ac2960	2018-01-18	0	0	NA
26c085fc9e28fe6279bd03c4e7ac2960	2017-05-29	0	0	0
26c085fc9e28fe6279bd03c4e7ac2960	2016-11-16	0	0	0
26c085fc9e28fe6279bd03c4e7ac2960	2016-01-28	1	0	0
26c085fc9e28fe6279bd03c4e7ac2960	2015-10-07	0	0	1
26cd4ea914a7d63afa8f9d7d5235fd87	2017-11-14	1	0	NA
26cd4ea914a7d63afa8f9d7d5235fd87	2015-11-03	2	0	1
26defa48d31738a43a4b76fef51b1b70	2019-02-18	4	0	NA
26defa48d31738a43a4b76fef51b1b70	2018-08-08	3	0	4
26defa48d31738a43a4b76fef51b1b70	2017-08-21	4	0	3
26e7d5a75edbcad49714b4874524fab5	2013-04-16	4	4	NA
26e7d5a75edbcad49714b4874524fab5	2012-01-19	0	0	4
26e7d5a75edbcad49714b4874524fab5	2010-03-08	4	NA	0
270fa29f42b96e95a531adb0bf831e4f	2013-12-20	0	0	NA
270fa29f42b96e95a531adb0bf831e4f	2013-01-16	0	0	0
270fa29f42b96e95a531adb0bf831e4f	2012-01-03	0	0	0
270fa29f42b96e95a531adb0bf831e4f	2011-09-26	0	0	0
270fa29f42b96e95a531adb0bf831e4f	2011-08-08	0	0	0
270fa29f42b96e95a531adb0bf831e4f	2010-10-18	2	NA	0
270fa29f42b96e95a531adb0bf831e4f	2010-01-21	0	NA	2
272044be45d31c17b7a5542927dd1070	2018-01-04	2	0	NA
272044be45d31c17b7a5542927dd1070	2014-12-12	2	0	2
272044be45d31c17b7a5542927dd1070	2013-06-12	2	0	2
272044be45d31c17b7a5542927dd1070	2011-10-03	1	0	2
272044be45d31c17b7a5542927dd1070	2010-11-17	2	NA	1
272408b1144352a001d6062a41e75bf4	2016-07-27	3	0	NA
272408b1144352a001d6062a41e75bf4	2015-09-23	4	0	3
2746b2e9613354159f4672ed667e3fa6	2014-11-03	4	0	NA
2746b2e9613354159f4672ed667e3fa6	2014-04-14	5	0	4
2746b2e9613354159f4672ed667e3fa6	2012-07-02	5	0	5
2746b2e9613354159f4672ed667e3fa6	2011-10-27	5	0	5
2759d579867889d1998ae66dff3517a0	2013-07-17	1	1	NA
2759d579867889d1998ae66dff3517a0	2013-04-16	2	0	1
279a8eb75379a7f4119edcdc4463947c	2018-01-18	1	0	NA
279a8eb75379a7f4119edcdc4463947c	2017-07-04	4	0	1
279b3ed1ec8b1756a22a35b1e2509da1	2011-08-31	3	0	NA
279b3ed1ec8b1756a22a35b1e2509da1	2009-08-05	4	NA	3
27c5c1b664ae2c8a8a8c7945d60624e1	2018-04-03	1	0	NA
27c5c1b664ae2c8a8a8c7945d60624e1	2016-03-28	2	0	1
27d73484961565486dad97c2190aa364	2014-09-29	2	0	NA
27d73484961565486dad97c2190aa364	2013-10-07	4	0	2
2827557903548f37f6d718e51ac51576	2018-05-16	0	0	NA
2827557903548f37f6d718e51ac51576	2017-07-28	0	0	0
2827557903548f37f6d718e51ac51576	2016-07-19	0	0	0
2827557903548f37f6d718e51ac51576	2015-05-13	0	0	0
2827557903548f37f6d718e51ac51576	2014-07-04	1	0	0
28685b311ffe98aae612502a67562289	2019-10-14	4	0	NA
28685b311ffe98aae612502a67562289	2013-01-03	4	0	4
28685b311ffe98aae612502a67562289	2012-05-24	3	0	4
28685b311ffe98aae612502a67562289	2011-02-14	4	0	3
28717fd24283983d31ddaed1a4d09ea8	2014-02-17	1	0	NA
28717fd24283983d31ddaed1a4d09ea8	2013-10-14	0	0	1
28717fd24283983d31ddaed1a4d09ea8	2013-04-02	1	0	0
28717fd24283983d31ddaed1a4d09ea8	2013-02-06	0	0	1
2885c48decca31ee38b61d0a2c50193b	2015-05-04	1	0	NA
2885c48decca31ee38b61d0a2c50193b	2015-02-18	3	0	1
28a282b7b9e08d2b6995f2a81f725f88	2015-01-07	1	0	NA
28a282b7b9e08d2b6995f2a81f725f88	2014-02-20	48	0	1
28a282b7b9e08d2b6995f2a81f725f88	2013-01-23	1	1	48
28e8be5dce7948b6e13c201389694c21	2017-02-13	0	0	NA
28e8be5dce7948b6e13c201389694c21	2012-07-31	1	0	0
28f6e7ca2a03c5d55fa80e816f9288be	2017-11-01	2	0	NA
28f6e7ca2a03c5d55fa80e816f9288be	2013-03-26	2	0	2
28f6e7ca2a03c5d55fa80e816f9288be	2012-10-12	2	0	2
28f6e7ca2a03c5d55fa80e816f9288be	2012-02-29	1	0	2
28f6e7ca2a03c5d55fa80e816f9288be	2011-06-24	2	0	1
28fdf39b1aebe90a37c36b498b13ecc5	2010-06-07	3	NA	NA
28fdf39b1aebe90a37c36b498b13ecc5	2009-07-22	4	NA	3
28ffa2ca5b600dc9b74e61b4bf0f8231	2012-05-10	2	0	NA
28ffa2ca5b600dc9b74e61b4bf0f8231	2010-03-02	3	NA	2
291475309733f9c91df4201d14cc24e6	2014-01-24	3	0	NA
291475309733f9c91df4201d14cc24e6	2013-11-12	4	0	3
29889f3f71bbdfe87d6eb997a02a113a	2015-11-11	2	0	NA
29889f3f71bbdfe87d6eb997a02a113a	2013-07-02	3	0	2
29a8e54ad04a03d97bbb71e2d015e244	2017-01-19	2	0	NA
29a8e54ad04a03d97bbb71e2d015e244	2015-09-28	3	0	2
29a8e54ad04a03d97bbb71e2d015e244	2015-05-01	2	0	3
29bf78bc2a2c56c45bad5bca7c49a66e	2013-01-07	0	0	NA
29bf78bc2a2c56c45bad5bca7c49a66e	2011-06-14	1	1	0
29bf78bc2a2c56c45bad5bca7c49a66e	2009-06-22	1	NA	1
2a07868a30ea521ada16ef52d407f084	2013-10-01	3	0	NA
2a07868a30ea521ada16ef52d407f084	2012-06-01	4	0	3
2a07868a30ea521ada16ef52d407f084	2011-07-12	3	0	4
2a672a5498cd9901334a85c5eaa3aa6d	2019-01-08	5	0	NA
2a672a5498cd9901334a85c5eaa3aa6d	2014-05-20	5	0	5
2a672a5498cd9901334a85c5eaa3aa6d	2012-11-22	6	0	5
2a672a5498cd9901334a85c5eaa3aa6d	2010-10-12	5	NA	6
2a987a79cf53753c0cfcff5ee8f43ab0	2019-01-02	0	0	NA
2a987a79cf53753c0cfcff5ee8f43ab0	2018-01-15	3	0	0
2a9e2fd1b86c76d720133df0be271f81	2019-05-30	2	0	NA
2a9e2fd1b86c76d720133df0be271f81	2018-01-22	3	0	2
2ab254f24d11142a1e9b9960afde0c74	2015-07-13	0	0	NA
2ab254f24d11142a1e9b9960afde0c74	2012-05-24	1	0	0
2af0a1922cedde676eeb6e134792c4b4	2015-03-17	4	0	NA
2af0a1922cedde676eeb6e134792c4b4	2013-06-10	4	0	4
2af0a1922cedde676eeb6e134792c4b4	2012-07-19	3	0	4
2af0a1922cedde676eeb6e134792c4b4	2010-09-07	1	NA	3
2af0a1922cedde676eeb6e134792c4b4	2010-03-23	3	NA	1
2b21f1a3f75ac0cad95f80925bbba7be	2018-05-28	2	0	NA
2b21f1a3f75ac0cad95f80925bbba7be	2018-01-19	3	2	2
2b21f1a3f75ac0cad95f80925bbba7be	2017-11-30	3	0	3
2b50b3d06f4ccd5d93e35483eb79b56b	2017-07-25	3	0	NA
2b50b3d06f4ccd5d93e35483eb79b56b	2017-05-29	2	0	3
2b50b3d06f4ccd5d93e35483eb79b56b	2016-07-05	3	0	2
2b50b3d06f4ccd5d93e35483eb79b56b	2013-08-06	2	0	3
2b78d39fec34d56e1f8da146ef10fcd2	2016-04-08	0	0	NA
2b78d39fec34d56e1f8da146ef10fcd2	2011-03-02	2	0	0
2b79b7e34d950a328854a13e10d9e2e7	2018-05-10	0	1	NA
2b79b7e34d950a328854a13e10d9e2e7	2011-08-17	1	1	0
2b827744dfa423214d5af03ed3f82db6	2019-04-25	3	0	NA
2b827744dfa423214d5af03ed3f82db6	2018-10-29	4	0	3
2bb0be332b0aa3be65a11cfbd8909a2a	2015-02-04	1	0	NA
2bb0be332b0aa3be65a11cfbd8909a2a	2013-03-06	1	0	1
2bb0be332b0aa3be65a11cfbd8909a2a	2009-12-02	3	NA	1
2bb43da394f7bd25bc667c645abaee41	2018-01-22	1	0	NA
2bb43da394f7bd25bc667c645abaee41	2017-01-18	0	0	1
2bb43da394f7bd25bc667c645abaee41	2013-03-25	1	0	0
2bd4a884dabe2e0dd00f4f3a75375899	2014-04-09	2	0	NA
2bd4a884dabe2e0dd00f4f3a75375899	2013-03-28	3	1	2
2bf4303825646ee1fb044f426a3a69e0	2018-04-04	4	0	NA
2bf4303825646ee1fb044f426a3a69e0	2016-03-08	5	0	4
2bf4303825646ee1fb044f426a3a69e0	2014-04-24	5	0	5
2c2dd8697f5a995d24b927b4958aa37c	2019-08-05	0	0	NA
2c2dd8697f5a995d24b927b4958aa37c	2017-11-23	0	0	0
2c2dd8697f5a995d24b927b4958aa37c	2015-10-05	1	0	0
2c427ad8b4dd66ebd39dc4f59e0dd89f	2016-09-09	0	0	NA
2c427ad8b4dd66ebd39dc4f59e0dd89f	2013-03-07	3	0	0
2c427ad8b4dd66ebd39dc4f59e0dd89f	2011-08-12	2	0	3
2c4ec24ebbad5056759a3440f1a5ccff	2014-06-02	1	0	NA
2c4ec24ebbad5056759a3440f1a5ccff	2012-10-24	1	0	1
2c4ec24ebbad5056759a3440f1a5ccff	2011-11-04	2	0	1
2c5b8860a991238f5108822f9fbf2eab	2010-08-04	0	NA	NA
2c5b8860a991238f5108822f9fbf2eab	2010-02-03	1	NA	0
2c60032471e63525e6d758f305f8d153	2019-08-05	3	0	NA
2c60032471e63525e6d758f305f8d153	2019-04-02	2	0	3
2c60032471e63525e6d758f305f8d153	2018-04-17	5	0	2
2c9c518951f858e9cb93b672634a7126	2019-07-11	0	0	NA
2c9c518951f858e9cb93b672634a7126	2019-06-11	1	0	0
2c9c518951f858e9cb93b672634a7126	2019-03-19	0	0	1
2cbef7e50b3dbdf905316e9f95cf7dd9	2019-04-01	1	0	NA
2cbef7e50b3dbdf905316e9f95cf7dd9	2013-05-13	2	0	1
2cfe532a66b30e2043cd55d58f30a6e2	2019-05-23	1	0	NA
2cfe532a66b30e2043cd55d58f30a6e2	2018-03-01	4	0	1
2d1428be750568d5801b57ddb5446d5d	2018-01-01	0	0	NA
2d1428be750568d5801b57ddb5446d5d	2017-02-15	1	0	0
2d1428be750568d5801b57ddb5446d5d	2014-03-21	1	0	1
2d588dd43d6dd2c85e7528917fbd7fd9	2016-08-08	1	0	NA
2d588dd43d6dd2c85e7528917fbd7fd9	2014-07-09	3	0	1
2d5c96699687d0ec1c07a06f34ab800e	2014-05-01	1	0	NA
2d5c96699687d0ec1c07a06f34ab800e	2011-09-01	2	0	1
2d5c96699687d0ec1c07a06f34ab800e	2011-03-31	1	1	2
2d65374aabc429858be58c01d4704076	2017-02-28	1	0	NA
2d65374aabc429858be58c01d4704076	2016-08-08	3	0	1
2d89cadfe5420eed70efb8fba80d6788	2018-01-18	0	0	NA
2d89cadfe5420eed70efb8fba80d6788	2017-09-23	2	0	0
2d89cadfe5420eed70efb8fba80d6788	2017-08-17	2	0	2
2d8d8c7183696d0722be5723008c6ac7	2018-08-16	2	0	NA
2d8d8c7183696d0722be5723008c6ac7	2016-03-09	3	0	2
2d8d8c7183696d0722be5723008c6ac7	2010-09-30	3	NA	3
2dcd5f35e1d378ea198db2056b289379	2019-06-21	2	0	NA
2dcd5f35e1d378ea198db2056b289379	2015-08-03	4	0	2
2dd032318202c1814f58c917b6668cc3	2014-11-17	3	1	NA
2dd032318202c1814f58c917b6668cc3	2014-04-24	4	0	3
2ddfa402a45849f12397db511fe3ec17	2018-02-20	1	0	NA
2ddfa402a45849f12397db511fe3ec17	2018-01-15	2	0	1
2ddfa402a45849f12397db511fe3ec17	2016-05-18	2	1	2
2e09cc0edc3292c454b9cecc272ca14d	2018-11-29	1	0	NA
2e09cc0edc3292c454b9cecc272ca14d	2017-08-22	2	0	1
2e2b5f6d77c0fd9a28331fd74fba907f	2015-12-07	2	0	NA
2e2b5f6d77c0fd9a28331fd74fba907f	2014-03-20	1	0	2
2e2b5f6d77c0fd9a28331fd74fba907f	2013-06-06	2	0	1
2e2b5f6d77c0fd9a28331fd74fba907f	2012-02-09	2	1	2
2e2f47c4918a8fb1dcb57c99d1732c85	2016-01-29	0	0	NA
2e2f47c4918a8fb1dcb57c99d1732c85	2013-10-01	1	0	0
2e2f47c4918a8fb1dcb57c99d1732c85	2013-07-22	1	0	1
2e38f724bfc3a76734cb3bf9977e212c	2017-12-01	0	0	NA
2e38f724bfc3a76734cb3bf9977e212c	2014-09-22	1	0	0
2e51021e088215e52175c16d29472682	2018-07-11	3	0	NA
2e51021e088215e52175c16d29472682	2012-10-05	4	0	3
2e60a4e730f8aab12a4478c45e98b241	2013-11-04	1	0	NA
2e60a4e730f8aab12a4478c45e98b241	2011-05-25	2	0	1
2e60a4e730f8aab12a4478c45e98b241	2009-06-22	1	NA	2
2ee1eff9f1445f8433ce40a129e3742c	2016-01-19	1	0	NA
2ee1eff9f1445f8433ce40a129e3742c	2015-05-15	2	0	1
2ee55d6b75d8b63e9f5dc43aebecaeda	2019-07-01	1	0	NA
2ee55d6b75d8b63e9f5dc43aebecaeda	2017-04-20	2	0	1
2ee55d6b75d8b63e9f5dc43aebecaeda	2010-07-20	1	NA	2
2f0d43b51ed8456477275d8be10d5d69	2014-05-22	1	0	NA
2f0d43b51ed8456477275d8be10d5d69	2012-08-01	2	0	1
2f12d51d750dd3230aadbae6faa7f4d2	2016-01-11	0	0	NA
2f12d51d750dd3230aadbae6faa7f4d2	2015-06-11	0	0	0
2f12d51d750dd3230aadbae6faa7f4d2	2015-03-18	0	0	0
2f12d51d750dd3230aadbae6faa7f4d2	2014-05-15	1	0	0
2f42e2678ac5b7dca7976bd8fded7457	2017-04-21	2	0	NA
2f42e2678ac5b7dca7976bd8fded7457	2015-06-22	2	0	2
2f42e2678ac5b7dca7976bd8fded7457	2013-09-03	1	0	2
2f42e2678ac5b7dca7976bd8fded7457	2013-05-22	2	0	1
2f42e2678ac5b7dca7976bd8fded7457	2012-05-04	1	0	2
2f42e2678ac5b7dca7976bd8fded7457	2012-01-18	1	0	1
2f95314eef46d307742a4a2ae28c63d0	2016-03-21	1	0	NA
2f95314eef46d307742a4a2ae28c63d0	2015-02-12	3	0	1
2fa185411ec26d60d6c4803e721c69ef	2019-03-06	1	0	NA
2fa185411ec26d60d6c4803e721c69ef	2018-04-02	2	0	1
2fc609bc43e6226d6fa917456da2f4ff	2018-11-28	3	0	NA
2fc609bc43e6226d6fa917456da2f4ff	2018-09-01	0	0	3
2fc609bc43e6226d6fa917456da2f4ff	2014-11-03	4	0	0
2fc8a939aa4a5c88e58e67ede6ddd2fc	2018-11-21	3	0	NA
2fc8a939aa4a5c88e58e67ede6ddd2fc	2018-04-09	35	0	3
2fc8a939aa4a5c88e58e67ede6ddd2fc	2016-10-19	3	0	35
2fc8a939aa4a5c88e58e67ede6ddd2fc	2016-05-16	3	0	3
2fc8a939aa4a5c88e58e67ede6ddd2fc	2015-09-29	3	0	3
2fc8a939aa4a5c88e58e67ede6ddd2fc	2014-08-01	3	0	3
2fc8a939aa4a5c88e58e67ede6ddd2fc	2013-05-31	2	0	3
2fc8a939aa4a5c88e58e67ede6ddd2fc	2012-09-05	2	1	2
2fc8a939aa4a5c88e58e67ede6ddd2fc	2012-03-15	2	0	2
2fcf90c16c4ea965322a4a504a912a62	2013-01-04	0	1	NA
2fcf90c16c4ea965322a4a504a912a62	2012-12-10	1	1	0
2ff077b2646e4ec462dedc29d7709222	2016-06-28	2	0	NA
2ff077b2646e4ec462dedc29d7709222	2014-12-11	3	0	2
2ff077b2646e4ec462dedc29d7709222	2012-07-17	3	0	3
3024d9f9246ee051799df158653cc162	2019-01-24	1	0	NA
3024d9f9246ee051799df158653cc162	2018-03-23	36	0	1
3024d9f9246ee051799df158653cc162	2017-08-24	1	0	36
3034db6809750d90f9358c6530acaada	2018-07-12	2	0	NA
3034db6809750d90f9358c6530acaada	2017-10-16	4	0	2
305b5af55af257f1f1dbd15470e63a3b	2019-02-01	1	0	NA
305b5af55af257f1f1dbd15470e63a3b	2018-11-13	2	0	1
305b5af55af257f1f1dbd15470e63a3b	2010-05-28	2	NA	2
30995216f0023cd7405c730815c874d9	2013-08-14	0	0	NA
30995216f0023cd7405c730815c874d9	2013-01-23	0	0	0
30995216f0023cd7405c730815c874d9	2011-12-28	1	0	0
309cc75afbb0589dada1c94bd4cce51d	2014-05-12	1	0	NA
309cc75afbb0589dada1c94bd4cce51d	2011-11-21	2	0	1
309de8ee5d3dd8ab96f0328bc5da828e	2016-08-05	0	0	NA
309de8ee5d3dd8ab96f0328bc5da828e	2011-01-18	0	1	0
309de8ee5d3dd8ab96f0328bc5da828e	2009-12-28	1	NA	0
30b64b4e6b1f5211ba0ceeebd51b1ec3	2015-01-21	1	0	NA
30b64b4e6b1f5211ba0ceeebd51b1ec3	2010-04-23	2	NA	1
30de3369513ee0eae49eaf8b7774f8c6	2017-05-25	4	0	NA
30de3369513ee0eae49eaf8b7774f8c6	2013-05-17	3	0	4
30de3369513ee0eae49eaf8b7774f8c6	2012-11-08	4	0	3
30de3369513ee0eae49eaf8b7774f8c6	2011-04-11	4	0	4
30de3369513ee0eae49eaf8b7774f8c6	2010-09-09	3	NA	4
30f7579163e2352c825f0f263833207c	2015-11-11	0	0	NA
30f7579163e2352c825f0f263833207c	2014-02-05	3	0	0
31a9cb87aa8833ba20cd9b881b304256	2019-08-07	2	0	NA
31a9cb87aa8833ba20cd9b881b304256	2016-09-20	3	0	2
31b0158149e6849973561d5170cd9e19	2018-12-04	1	0	NA
31b0158149e6849973561d5170cd9e19	2016-07-06	2	0	1
31f30063bbea90e0b11c674684bab257	2019-07-01	7	0	NA
31f30063bbea90e0b11c674684bab257	2019-03-19	7	0	7
31f30063bbea90e0b11c674684bab257	2017-06-27	7	0	7
31f30063bbea90e0b11c674684bab257	2016-03-23	5	0	7
31f30063bbea90e0b11c674684bab257	2015-01-01	6	0	5
31f30063bbea90e0b11c674684bab257	2014-09-10	6	0	6
31f8912957704740dc8ae65e18759e43	2016-01-07	4	0	NA
31f8912957704740dc8ae65e18759e43	2014-02-24	4	0	4
31f8912957704740dc8ae65e18759e43	2013-10-22	0	0	4
31f8912957704740dc8ae65e18759e43	2013-09-05	4	0	0
31f8912957704740dc8ae65e18759e43	2013-04-02	4	0	4
31f8912957704740dc8ae65e18759e43	2012-09-27	4	0	4
31f8912957704740dc8ae65e18759e43	2012-08-24	3	0	4
31f8912957704740dc8ae65e18759e43	2010-04-14	3	NA	3
31fd779027a5b215f896487184e18102	2015-07-09	0	0	NA
31fd779027a5b215f896487184e18102	2011-05-02	1	0	0
31fe9d99068006d7b7981003fa841ebd	2015-07-01	2	0	NA
31fe9d99068006d7b7981003fa841ebd	2014-10-08	2	0	2
31fe9d99068006d7b7981003fa841ebd	2011-11-14	3	0	2
328f10640a7e8d98e797079832cb50ca	2015-03-19	1	0	NA
328f10640a7e8d98e797079832cb50ca	2013-12-05	0	0	1
328f10640a7e8d98e797079832cb50ca	2013-07-11	1	0	0
328f10640a7e8d98e797079832cb50ca	2013-07-01	1	1	1
328f10640a7e8d98e797079832cb50ca	2013-05-06	1	1	1
328f10640a7e8d98e797079832cb50ca	2010-12-13	1	0	1
328f10640a7e8d98e797079832cb50ca	2010-07-06	1	NA	1
328f10640a7e8d98e797079832cb50ca	2010-05-24	1	NA	1
3299924478aa60ff43d3fff2135ecbcb	2017-09-04	2	0	NA
3299924478aa60ff43d3fff2135ecbcb	2013-10-15	5	0	2
32a47bb7d6719d37b391d57aef1f87f5	2018-06-01	1	0	NA
32a47bb7d6719d37b391d57aef1f87f5	2016-01-18	2	0	1
32a47bb7d6719d37b391d57aef1f87f5	2013-05-22	2	0	2
32ad16f3f91641516ed377bdae97197d	2013-08-01	0	0	NA
32ad16f3f91641516ed377bdae97197d	2012-12-03	1	0	0
32b7375ff00e9f5a61441647ed779e0e	2013-12-17	1	0	NA
32b7375ff00e9f5a61441647ed779e0e	2013-04-09	2	0	1
32f21a5a05a035f48cc4bb52a5fa3c0d	2016-07-14	0	0	NA
32f21a5a05a035f48cc4bb52a5fa3c0d	2014-11-26	2	1	0
3304757a37fac0d8f0963fcc56951dad	2019-06-28	1	0	NA
3304757a37fac0d8f0963fcc56951dad	2013-02-08	2	0	1
3304757a37fac0d8f0963fcc56951dad	2013-01-18	0	0	2
3310298ea165ff63a8963fc2333a80de	2018-11-05	0	0	NA
3310298ea165ff63a8963fc2333a80de	2017-10-06	4	0	0
3310298ea165ff63a8963fc2333a80de	2015-08-24	4	0	4
3310298ea165ff63a8963fc2333a80de	2014-11-21	4	0	4
3310299b4c439cc255706faad5050b62	2019-06-05	2	0	NA
3310299b4c439cc255706faad5050b62	2018-07-09	9	0	2
3310299b4c439cc255706faad5050b62	2017-08-28	3	0	9
3310299b4c439cc255706faad5050b62	2013-09-30	9	0	3
336be139ac1990a84e32bea2da9228e6	2015-01-08	2	0	NA
336be139ac1990a84e32bea2da9228e6	2011-01-03	2	0	2
336be139ac1990a84e32bea2da9228e6	2009-04-29	4	NA	2
337a83441dd1f6d3c4316c6127c2bf4c	2013-09-03	4	0	NA
337a83441dd1f6d3c4316c6127c2bf4c	2012-06-22	5	0	4
33cf6c8876930858b34acf2640f30a2a	2019-04-01	4	0	NA
33cf6c8876930858b34acf2640f30a2a	2012-05-03	3	0	4
33cf6c8876930858b34acf2640f30a2a	2011-08-18	4	0	3
343e59f01e324a4c924645d203a952df	2018-11-28	0	0	NA
343e59f01e324a4c924645d203a952df	2018-06-11	1	0	0
343e59f01e324a4c924645d203a952df	2017-03-15	1	0	1
343e59f01e324a4c924645d203a952df	2015-10-22	1	0	1
344672bbb9d769cfa05aadcb77efec0e	2019-09-02	2	0	NA
344672bbb9d769cfa05aadcb77efec0e	2018-09-12	2	0	2
344672bbb9d769cfa05aadcb77efec0e	2017-12-04	43	0	2
344672bbb9d769cfa05aadcb77efec0e	2017-03-06	2	0	43
344672bbb9d769cfa05aadcb77efec0e	2016-03-07	2	0	2
344672bbb9d769cfa05aadcb77efec0e	2015-07-25	2	0	2
344672bbb9d769cfa05aadcb77efec0e	2012-09-21	2	0	2
344dd47085219159e91de921796011bf	2013-02-01	1	0	NA
344dd47085219159e91de921796011bf	2012-05-04	4	0	1
34abc7b4b56537d7796ba33fd75b44c1	2013-12-09	1	1	NA
34abc7b4b56537d7796ba33fd75b44c1	2013-11-04	2	0	1
34abc7b4b56537d7796ba33fd75b44c1	2013-05-10	2	0	2
359338ece856832ff12cef47c918d8ca	2016-06-29	1	0	NA
359338ece856832ff12cef47c918d8ca	2013-07-24	2	0	1
3617584294f579cc55a6e28052f0f722	2011-12-07	0	0	NA
3617584294f579cc55a6e28052f0f722	2010-09-06	2	NA	0
3652ffb47fcc1c99b444a5024486ce8d	2018-11-20	2	0	NA
3652ffb47fcc1c99b444a5024486ce8d	2016-06-06	4	0	2
3656d3aefb3ed43577327834e9b37b44	2019-05-02	2	0	NA
3656d3aefb3ed43577327834e9b37b44	2017-05-31	2	0	2
3656d3aefb3ed43577327834e9b37b44	2015-03-02	3	0	2
367af24b1df4cc11cd17e187ae88c5c3	2019-03-18	2	0	NA
367af24b1df4cc11cd17e187ae88c5c3	2018-05-09	0	0	2
367af24b1df4cc11cd17e187ae88c5c3	2017-07-20	3	0	0
3694d3f5381fa9ce225119da198d411a	2010-01-04	2	NA	NA
3694d3f5381fa9ce225119da198d411a	2009-12-29	3	NA	2
36be15c3cade3e7ed1d31f8ffa2112dd	2019-10-10	2	0	NA
36be15c3cade3e7ed1d31f8ffa2112dd	2017-01-13	4	0	2
36be15c3cade3e7ed1d31f8ffa2112dd	2014-07-23	4	0	4
36be15c3cade3e7ed1d31f8ffa2112dd	2010-05-14	3	NA	4
36e1f56eab1ef9a075394cacbe3cda1f	2014-11-26	0	0	NA
36e1f56eab1ef9a075394cacbe3cda1f	2013-03-21	1	0	0
36e463ca5ae1758ab37e51f44b47c372	2018-04-19	4	0	NA
36e463ca5ae1758ab37e51f44b47c372	2013-10-22	5	0	4
36f92de085fa2887e0c65fd6eb08500d	2019-01-21	2	0	NA
36f92de085fa2887e0c65fd6eb08500d	2017-02-09	2	0	2
36f92de085fa2887e0c65fd6eb08500d	2016-03-14	3	0	2
36f92de085fa2887e0c65fd6eb08500d	2010-01-07	2	NA	3
36fcec8559cc6e52284ab15bcd42ffd0	2018-09-13	2	0	NA
36fcec8559cc6e52284ab15bcd42ffd0	2018-08-23	3	0	2
36fcec8559cc6e52284ab15bcd42ffd0	2015-01-27	2	0	3
3708cfd82c31dfa1f549324b06015b9f	2015-07-24	3	0	NA
3708cfd82c31dfa1f549324b06015b9f	2014-09-05	3	0	3
3708cfd82c31dfa1f549324b06015b9f	2012-09-26	5	0	3
3708cfd82c31dfa1f549324b06015b9f	2011-03-30	5	5	5
3748549a3c23f19b0cb102370fe0b44d	2014-04-14	0	0	NA
3748549a3c23f19b0cb102370fe0b44d	2012-12-21	0	0	0
3748549a3c23f19b0cb102370fe0b44d	2012-04-03	0	0	0
3748549a3c23f19b0cb102370fe0b44d	2011-06-16	1	1	0
3769b0bdc5e6d55f75b9778162305cb9	2016-02-08	3	0	NA
3769b0bdc5e6d55f75b9778162305cb9	2013-01-30	4	0	3
37a868d3d71a2fb2501f09c5259e7bb9	2019-01-14	4	1	NA
37a868d3d71a2fb2501f09c5259e7bb9	2016-12-07	4	0	4
37a868d3d71a2fb2501f09c5259e7bb9	2014-04-01	5	0	4
37a868d3d71a2fb2501f09c5259e7bb9	2014-02-19	4	0	5
37a868d3d71a2fb2501f09c5259e7bb9	2012-04-23	4	0	4
37c0271df633294bfeb3c6c729ff7c01	2016-02-02	1	0	NA
37c0271df633294bfeb3c6c729ff7c01	2014-09-30	2	0	1
37c0271df633294bfeb3c6c729ff7c01	2010-10-28	2	NA	2
37da7d571e4512038d8fc95c5a03aa1c	2017-04-22	0	0	NA
37da7d571e4512038d8fc95c5a03aa1c	2012-07-19	1	0	0
37eeaaeb85fcd96342f53c086f021cfd	2018-01-22	0	0	NA
37eeaaeb85fcd96342f53c086f021cfd	2014-05-09	1	0	0
37fbbcbd9b2f501a31f705af2ac7df53	2015-07-24	1	0	NA
37fbbcbd9b2f501a31f705af2ac7df53	2012-11-30	3	0	1
37fdb6a90c5a44ce910fd662d7396aff	2018-01-29	2	0	NA
37fdb6a90c5a44ce910fd662d7396aff	2017-12-06	2	0	2
37fdb6a90c5a44ce910fd662d7396aff	2013-07-05	3	0	2
380d9b27915ca8873d06f71d4d74030e	2019-04-01	2	0	NA
380d9b27915ca8873d06f71d4d74030e	2016-11-08	3	0	2
380d9b27915ca8873d06f71d4d74030e	2016-03-30	3	0	3
380d9b27915ca8873d06f71d4d74030e	2014-10-27	3	0	3
380d9b27915ca8873d06f71d4d74030e	2013-08-01	3	0	3
380d9b27915ca8873d06f71d4d74030e	2012-12-10	3	0	3
380d9b27915ca8873d06f71d4d74030e	2011-04-19	3	0	3
380d9b27915ca8873d06f71d4d74030e	2010-09-28	3	NA	3
3814d8959e10d3a00d58964ea4cb6431	2019-02-07	3	0	NA
3814d8959e10d3a00d58964ea4cb6431	2018-08-22	1	0	3
3814d8959e10d3a00d58964ea4cb6431	2018-03-23	3	0	1
3814d8959e10d3a00d58964ea4cb6431	2011-08-11	3	3	3
381532ba9d9a654159bd654c6721f291	2017-04-03	2	0	NA
381532ba9d9a654159bd654c6721f291	2016-10-24	3	0	2
381532ba9d9a654159bd654c6721f291	2013-09-02	2	0	3
381532ba9d9a654159bd654c6721f291	2013-07-29	2	0	2
381532ba9d9a654159bd654c6721f291	2010-02-03	1	NA	2
38204eadc1f811a4376916cbdd136189	2018-04-27	0	0	NA
38204eadc1f811a4376916cbdd136189	2017-10-12	1	0	0
3826e63b30818535c743f65ab92ec6cf	2015-05-27	2	0	NA
3826e63b30818535c743f65ab92ec6cf	2014-08-21	1	0	2
3826e63b30818535c743f65ab92ec6cf	2014-02-10	2	0	1
383fef00e638ce448da56cd5dcbc9419	2015-09-17	0	0	NA
383fef00e638ce448da56cd5dcbc9419	2015-06-26	2	0	0
383fef00e638ce448da56cd5dcbc9419	2014-09-12	3	0	2
3874007d6db09e04992d9fab0bd85aa6	2019-01-01	2	0	NA
3874007d6db09e04992d9fab0bd85aa6	2018-08-01	3	0	2
38abf7567db1ff8c5ed58a55ea820593	2019-05-22	2	0	NA
38abf7567db1ff8c5ed58a55ea820593	2010-12-10	3	NA	2
38e0aea6e86d22aa31c1f4581afa826e	2019-05-08	1	0	NA
38e0aea6e86d22aa31c1f4581afa826e	2018-11-19	2	0	1
390a5418da5cfe21d0a8bc39fe865a48	2017-04-04	0	0	NA
390a5418da5cfe21d0a8bc39fe865a48	2016-07-01	2	0	0
39217bc933e33f738deb0cb5b7365e1a	2018-09-03	3	0	NA
39217bc933e33f738deb0cb5b7365e1a	2018-06-13	1	0	3
39217bc933e33f738deb0cb5b7365e1a	2014-04-29	2	1	1
39217bc933e33f738deb0cb5b7365e1a	2013-10-24	2	0	2
3928bbd606238844dbbac30076f94051	2014-06-02	2	0	NA
3928bbd606238844dbbac30076f94051	2013-08-19	3	0	2
396d1461405c46ddb781f63eac54e836	2018-10-02	5	0	NA
396d1461405c46ddb781f63eac54e836	2017-06-01	4	1	5
396d1461405c46ddb781f63eac54e836	2015-07-17	3	0	4
396d1461405c46ddb781f63eac54e836	2012-03-20	3	1	3
396d1461405c46ddb781f63eac54e836	2011-07-25	4	2	3
396d1461405c46ddb781f63eac54e836	2011-07-01	4	2	4
396f68c31d14ffa8d5271210e9df0aeb	2018-02-22	0	0	NA
396f68c31d14ffa8d5271210e9df0aeb	2016-03-21	1	0	0
396f68c31d14ffa8d5271210e9df0aeb	2015-04-30	1	0	1
396f68c31d14ffa8d5271210e9df0aeb	2012-11-27	1	0	1
396f68c31d14ffa8d5271210e9df0aeb	2012-04-13	1	0	1
396f68c31d14ffa8d5271210e9df0aeb	2011-11-02	2	0	1
39763c0cab73fa4c1b083fbafd4a2ca2	2015-03-03	0	0	NA
39763c0cab73fa4c1b083fbafd4a2ca2	2013-05-28	1	1	0
39763c0cab73fa4c1b083fbafd4a2ca2	2011-01-05	0	0	1
399b289f3f4336fbf15e1a5df0146f7c	2019-10-08	2	0	NA
399b289f3f4336fbf15e1a5df0146f7c	2019-09-02	5	0	2
39c1560aee3d10a55c27913a4b7de22d	2016-02-29	2	0	NA
39c1560aee3d10a55c27913a4b7de22d	2015-10-02	3	0	2
39fe8bcef3183661294094642f01a3eb	2018-12-03	0	0	NA
39fe8bcef3183661294094642f01a3eb	2012-05-17	1	0	0
3a1af0d13d02e94820da626d2438572e	2010-12-07	1	NA	NA
3a1af0d13d02e94820da626d2438572e	2010-10-08	4	NA	1
3a21306b2e2b7f2484fc69ffa09046ed	2012-05-16	3	0	NA
3a21306b2e2b7f2484fc69ffa09046ed	2012-03-29	4	0	3
3a21306b2e2b7f2484fc69ffa09046ed	2011-07-27	4	0	4
3a21306b2e2b7f2484fc69ffa09046ed	2010-11-09	4	NA	4
3a21306b2e2b7f2484fc69ffa09046ed	2010-06-07	4	NA	4
3a5aa067ce1813736e7a5568b29aee5a	2017-08-04	3	0	NA
3a5aa067ce1813736e7a5568b29aee5a	2012-11-22	1	0	3
3a5aa067ce1813736e7a5568b29aee5a	2012-11-15	3	0	1
3a62b1075754d6bf4f8496cfaec0e3fa	2013-08-01	2	0	NA
3a62b1075754d6bf4f8496cfaec0e3fa	2013-03-01	3	1	2
3a62b1075754d6bf4f8496cfaec0e3fa	2013-01-02	3	1	3
3a831788394ee3a3748f04d19e6df506	2013-03-13	1	0	NA
3a831788394ee3a3748f04d19e6df506	2012-10-02	2	0	1
3aa8b6973b0bb1c8bb9037764a922c2a	2018-08-31	2	0	NA
3aa8b6973b0bb1c8bb9037764a922c2a	2018-07-12	1	0	2
3aa8b6973b0bb1c8bb9037764a922c2a	2017-06-07	2	0	1
3aa8b6973b0bb1c8bb9037764a922c2a	2013-03-21	0	0	2
3accb139f96c7456de2a675ae8faaa0d	2019-01-31	1	0	NA
3accb139f96c7456de2a675ae8faaa0d	2017-02-18	2	0	1
3accb139f96c7456de2a675ae8faaa0d	2016-10-03	2	1	2
3accb139f96c7456de2a675ae8faaa0d	2016-08-12	2	0	2
3b006b97a3cfca059b86ed418c9ad9db	2016-06-29	0	0	NA
3b006b97a3cfca059b86ed418c9ad9db	2014-11-03	1	0	0
3b1c711638f37241cf126185f8cf1c7d	2015-09-09	2	0	NA
3b1c711638f37241cf126185f8cf1c7d	2015-01-15	2	0	2
3b1c711638f37241cf126185f8cf1c7d	2014-02-05	2	0	2
3b1c711638f37241cf126185f8cf1c7d	2013-06-19	2	0	2
3b1c711638f37241cf126185f8cf1c7d	2011-03-08	0	0	2
3b1c711638f37241cf126185f8cf1c7d	2010-12-07	2	NA	0
3b1c711638f37241cf126185f8cf1c7d	2010-09-13	2	NA	2
3b1c711638f37241cf126185f8cf1c7d	2010-05-11	2	NA	2
3b1c711638f37241cf126185f8cf1c7d	2009-04-09	2	NA	2
3b3b87f003ae340dc0dcfaae89e2cbb3	2019-06-17	0	0	NA
3b3b87f003ae340dc0dcfaae89e2cbb3	2014-06-27	1	0	0
3b6f56c451c233f26335d161b7362c25	2017-06-20	0	0	NA
3b6f56c451c233f26335d161b7362c25	2015-03-27	1	0	0
3b7cd548668b585e8f9e3cad855b2c08	2018-09-04	1	0	NA
3b7cd548668b585e8f9e3cad855b2c08	2017-04-24	2	0	1
3b877d8c6043555cfe71b59daf6943ba	2015-01-13	0	0	NA
3b877d8c6043555cfe71b59daf6943ba	2012-06-18	1	0	0
3b9ebed02c17df5541c37258b3b956cf	2015-11-30	5	0	NA
3b9ebed02c17df5541c37258b3b956cf	2014-07-23	8	0	5
3bbcca6e3a82184074480696691b3f27	2011-02-28	0	0	NA
3bbcca6e3a82184074480696691b3f27	2010-11-23	1	NA	0
3bea875977bad5362eb5b14577dd9837	2019-05-09	1	0	NA
3bea875977bad5362eb5b14577dd9837	2013-03-04	3	1	1
3bea875977bad5362eb5b14577dd9837	2012-06-01	1	0	3
3c40a5378f42a65896b3f9df0991086f	2017-06-26	3	0	NA
3c40a5378f42a65896b3f9df0991086f	2017-03-06	0	0	3
3c40a5378f42a65896b3f9df0991086f	2017-02-06	0	0	0
3c40a5378f42a65896b3f9df0991086f	2016-12-14	2	0	0
3c69aec32d04abe6bcd2b1c3e67f98c6	2019-05-31	2	0	NA
3c69aec32d04abe6bcd2b1c3e67f98c6	2018-03-23	2	0	2
3c69aec32d04abe6bcd2b1c3e67f98c6	2015-02-27	3	0	2
3c8150c2e46e3537838c2cce7ceca057	2017-02-01	4	0	NA
3c8150c2e46e3537838c2cce7ceca057	2015-10-01	1	0	4
3c8150c2e46e3537838c2cce7ceca057	2015-06-16	2	0	1
3c9148417837a6d33eff379c7e1ab6ff	2016-06-16	3	0	NA
3c9148417837a6d33eff379c7e1ab6ff	2015-03-03	2	0	3
3c9148417837a6d33eff379c7e1ab6ff	2013-01-21	3	0	2
3c97e2c6f16bb49958c9ab28af547330	2015-08-28	4	0	NA
3c97e2c6f16bb49958c9ab28af547330	2014-06-24	5	0	4
3ca1ea24ead134319f82ee61ab87a26b	2011-06-26	2	0	NA
3ca1ea24ead134319f82ee61ab87a26b	2009-11-10	3	NA	2
3cb35189f35d205600cf98b015d4a524	2016-10-25	1	0	NA
3cb35189f35d205600cf98b015d4a524	2013-01-12	3	0	1
3cb35189f35d205600cf98b015d4a524	2011-12-28	3	0	3
3cb4c0dc0ca568bb06d9513d380ba458	2017-03-07	2	0	NA
3cb4c0dc0ca568bb06d9513d380ba458	2016-06-10	5	0	2
3cc7ba256e84060625cbcf08cfacd4e3	2019-02-13	2	0	NA
3cc7ba256e84060625cbcf08cfacd4e3	2013-05-17	3	0	2
3d1c4d9d2fe88e6746f06fe2fa555e7b	2017-08-29	1	0	NA
3d1c4d9d2fe88e6746f06fe2fa555e7b	2013-02-05	2	0	1
3d1c4d9d2fe88e6746f06fe2fa555e7b	2011-09-12	2	0	2
3d429bd3650dcfa355f2866128e370ac	2019-07-11	1	0	NA
3d429bd3650dcfa355f2866128e370ac	2012-07-24	2	0	1
3d4728f0ba9ad5c3ae1f7721865dab96	2019-03-06	4	0	NA
3d4728f0ba9ad5c3ae1f7721865dab96	2017-07-10	4	0	4
3d4728f0ba9ad5c3ae1f7721865dab96	2015-11-02	3	0	4
3d4728f0ba9ad5c3ae1f7721865dab96	2014-03-19	4	0	3
3d47bec3b2a61431a4496822b1b3a136	2018-01-16	4	0	NA
3d47bec3b2a61431a4496822b1b3a136	2011-01-19	5	0	4
3d4e5d2ed59f2914987f43230a35463d	2019-02-14	0	0	NA
3d4e5d2ed59f2914987f43230a35463d	2013-07-05	3	0	0
3d4e5d2ed59f2914987f43230a35463d	2012-12-06	3	0	3
3d4e5d2ed59f2914987f43230a35463d	2010-09-29	2	NA	3
3d5272a658ddc681b195afcef71daa55	2018-09-26	4	0	NA
3d5272a658ddc681b195afcef71daa55	2018-06-06	3	0	4
3d5272a658ddc681b195afcef71daa55	2017-10-26	4	0	3
3d59887288f972d6ea9ac9df3a61a482	2016-09-22	1	0	NA
3d59887288f972d6ea9ac9df3a61a482	2015-08-03	2	0	1
3d6a3a582d72ce978b25dffaba694722	2015-11-09	2	0	NA
3d6a3a582d72ce978b25dffaba694722	2014-05-26	3	0	2
3d6a3a582d72ce978b25dffaba694722	2013-12-11	2	0	3
3d722d03aaa88c6ad4c039c860c1b837	2019-02-05	0	0	NA
3d722d03aaa88c6ad4c039c860c1b837	2014-07-03	1	0	0
3d722d03aaa88c6ad4c039c860c1b837	2012-01-04	1	0	1
3d722d03aaa88c6ad4c039c860c1b837	2011-03-16	1	1	1
3da88c37852db5e6c5080b87ec39b42c	2012-12-05	1	0	NA
3da88c37852db5e6c5080b87ec39b42c	2012-06-26	2	0	1
3dbd7d47e38045cda0f02e79c42fc864	2013-06-18	2	0	NA
3dbd7d47e38045cda0f02e79c42fc864	2011-07-13	3	3	2
3ddd00986d9710f33a28fbdc90f91e9c	2018-03-29	0	0	NA
3ddd00986d9710f33a28fbdc90f91e9c	2017-12-27	0	0	0
3ddd00986d9710f33a28fbdc90f91e9c	2016-08-29	0	0	0
3ddd00986d9710f33a28fbdc90f91e9c	2016-03-07	0	0	0
3ddd00986d9710f33a28fbdc90f91e9c	2015-09-23	1	0	0
3ddd00986d9710f33a28fbdc90f91e9c	2015-03-23	0	0	1
3de5250359b1dc9510992ed92659a530	2019-04-11	1	0	NA
3de5250359b1dc9510992ed92659a530	2018-10-24	2	0	1
3dead7975ce27db8c75d262fdda4a71a	2016-01-02	1	0	NA
3dead7975ce27db8c75d262fdda4a71a	2015-10-13	2	0	1
3dfb7e39a03cb538d822df7379a365bc	2011-04-04	2	0	NA
3dfb7e39a03cb538d822df7379a365bc	2010-09-13	3	NA	2
3e07869975e77b637468046ea4b804d8	2014-10-10	3	0	NA
3e07869975e77b637468046ea4b804d8	2014-03-26	5	0	3
3e3e5f33cc47e6019d3c25a1302ef0ec	2019-03-15	6	0	NA
3e3e5f33cc47e6019d3c25a1302ef0ec	2018-10-16	6	0	6
3e3e5f33cc47e6019d3c25a1302ef0ec	2017-05-15	6	0	6
3e3e5f33cc47e6019d3c25a1302ef0ec	2016-05-25	6	0	6
3e3e5f33cc47e6019d3c25a1302ef0ec	2015-05-04	6	0	6
3e3e5f33cc47e6019d3c25a1302ef0ec	2014-09-29	4	0	6
3e3e5f33cc47e6019d3c25a1302ef0ec	2013-04-01	5	0	4
3e55f03186d8e5067349946c6a97d503	2017-12-14	1	0	NA
3e55f03186d8e5067349946c6a97d503	2015-02-04	3	0	1
3e796efef057ee30306b4d10d45fa17e	2016-12-07	1	0	NA
3e796efef057ee30306b4d10d45fa17e	2014-06-19	2	0	1
3ec3c2ef74ad1f1f53c32a9f287b4e30	2015-08-14	2	0	NA
3ec3c2ef74ad1f1f53c32a9f287b4e30	2014-08-25	3	0	2
3ed9fbad0bb1a3abaa1d561f00793c46	2017-06-12	0	0	NA
3ed9fbad0bb1a3abaa1d561f00793c46	2015-08-03	0	0	0
3ed9fbad0bb1a3abaa1d561f00793c46	2014-01-31	1	0	0
3f295b58a2bc716a53546e8424d047c9	2015-04-24	4	0	NA
3f295b58a2bc716a53546e8424d047c9	2013-01-15	6	0	4
3f5d3ee9923eb216d2d99fe4853b14cb	2018-07-13	0	0	NA
3f5d3ee9923eb216d2d99fe4853b14cb	2017-09-29	1	0	0
3f5d3ee9923eb216d2d99fe4853b14cb	2017-03-15	1	0	1
3f8df3675ce3f0a4fffe3c667cfb637a	2017-06-13	2	0	NA
3f8df3675ce3f0a4fffe3c667cfb637a	2017-01-24	1	0	2
3f8df3675ce3f0a4fffe3c667cfb637a	2015-06-22	2	0	1
3f8df3675ce3f0a4fffe3c667cfb637a	2014-04-03	2	0	2
3f8df3675ce3f0a4fffe3c667cfb637a	2010-08-11	2	NA	2
3fa813421d4d6a6c89c69c7b757eacfd	2018-03-01	3	0	NA
3fa813421d4d6a6c89c69c7b757eacfd	2016-07-07	4	0	3
3ff28d9fa4f75abcfc48a6a41cf0ce6a	2017-01-20	2	0	NA
3ff28d9fa4f75abcfc48a6a41cf0ce6a	2016-09-02	2	0	2
3ff28d9fa4f75abcfc48a6a41cf0ce6a	2012-07-30	3	0	2
40279bed31636b16b90f5438286a3807	2017-05-24	1	0	NA
40279bed31636b16b90f5438286a3807	2011-05-02	2	0	1
40279bed31636b16b90f5438286a3807	2010-12-06	2	0	2
403af02d9382bf7550074a1fc987de77	2013-08-05	1	0	NA
403af02d9382bf7550074a1fc987de77	2011-11-30	2	0	1
404473ff0546ad5272d70a0cd4990d74	2017-06-08	3	0	NA
404473ff0546ad5272d70a0cd4990d74	2017-01-31	3	0	3
404473ff0546ad5272d70a0cd4990d74	2017-01-01	2	0	3
404473ff0546ad5272d70a0cd4990d74	2013-08-22	3	0	2
404daa69ebe3b4b8731a291c1e7cc999	2018-03-19	4	0	NA
404daa69ebe3b4b8731a291c1e7cc999	2018-01-08	3	0	4
404daa69ebe3b4b8731a291c1e7cc999	2017-06-30	4	0	3
40beac5070dac2042444b5b34a3bb722	2016-06-20	0	0	NA
40beac5070dac2042444b5b34a3bb722	2016-03-07	1	0	0
40d0cef98fc8281976c88034c48bfba3	2014-11-24	0	0	NA
40d0cef98fc8281976c88034c48bfba3	2012-05-10	2	0	0
410966331a024466a37986458a6158d2	2011-12-01	0	0	NA
410966331a024466a37986458a6158d2	2010-04-14	2	NA	0
41098c7dc3814a9790913e4557aaf236	2019-05-09	3	0	NA
41098c7dc3814a9790913e4557aaf236	2017-10-31	4	0	3
41260325ff30c77a2e54d75094060732	2013-06-20	0	0	NA
41260325ff30c77a2e54d75094060732	2013-06-10	1	0	0
41671c66c33bb06ef4780b2a050991fc	2019-06-11	2	0	NA
41671c66c33bb06ef4780b2a050991fc	2018-09-04	3	0	2
41741a2200f328d11ffef393a4524811	2016-05-02	1	0	NA
41741a2200f328d11ffef393a4524811	2015-01-22	2	0	1
4194168c6d6ea52910b7f9a7b2c97a72	2019-05-30	0	0	NA
4194168c6d6ea52910b7f9a7b2c97a72	2019-04-30	5	0	0
4194168c6d6ea52910b7f9a7b2c97a72	2011-01-18	1	1	5
4194168c6d6ea52910b7f9a7b2c97a72	2009-11-20	0	NA	1
4199191031e24d214e1e8e248ffbf151	2013-10-15	3	0	NA
4199191031e24d214e1e8e248ffbf151	2011-04-08	4	0	3
41c528fac6d72201e0ebc0011e12f557	2016-05-02	3	0	NA
41c528fac6d72201e0ebc0011e12f557	2015-06-23	4	0	3
41c6ab4f29339c2aa3507f59674bf632	2016-12-19	2	0	NA
41c6ab4f29339c2aa3507f59674bf632	2016-09-26	2	0	2
41c6ab4f29339c2aa3507f59674bf632	2015-02-02	2	0	2
41c6ab4f29339c2aa3507f59674bf632	2014-05-30	0	0	2
41c6ab4f29339c2aa3507f59674bf632	2013-06-21	2	0	0
41cb0febc0292a22649762e1c607c9ca	2012-06-19	0	0	NA
41cb0febc0292a22649762e1c607c9ca	2009-10-28	1	NA	0
41d618963f842c564a52fff4a886d745	2016-04-21	2	0	NA
41d618963f842c564a52fff4a886d745	2013-10-04	4	0	2
41d618963f842c564a52fff4a886d745	2011-06-07	2	0	4
41dff35e994a2f439b96b1f88776bf78	2015-08-05	0	0	NA
41dff35e994a2f439b96b1f88776bf78	2010-06-07	2	NA	0
41facb0bd8b7dec57a7d0b738cf923ce	2014-10-15	3	0	NA
41facb0bd8b7dec57a7d0b738cf923ce	2013-07-02	4	0	3
421abeb3f7bd9808ed12db2867dc0118	2019-01-18	3	0	NA
421abeb3f7bd9808ed12db2867dc0118	2018-07-11	3	0	3
421abeb3f7bd9808ed12db2867dc0118	2017-05-08	1	0	3
421abeb3f7bd9808ed12db2867dc0118	2016-11-22	1	0	1
421abeb3f7bd9808ed12db2867dc0118	2016-05-12	2	0	1
4222f88f403d479ae948b2213adc74a8	2018-01-25	0	1	NA
4222f88f403d479ae948b2213adc74a8	2010-05-25	1	NA	0
423ae6de450cdb4dce97cd893523a0e8	2019-04-01	1	0	NA
423ae6de450cdb4dce97cd893523a0e8	2015-09-14	4	0	1
423ae6de450cdb4dce97cd893523a0e8	2014-09-02	1	0	4
423ae6de450cdb4dce97cd893523a0e8	2013-01-23	1	0	1
423ae6de450cdb4dce97cd893523a0e8	2012-11-13	1	0	1
423ae6de450cdb4dce97cd893523a0e8	2012-10-22	1	0	1
4240b1ec7348a1c407f507243e3438db	2015-10-14	0	0	NA
4240b1ec7348a1c407f507243e3438db	2015-06-18	1	0	0
4240b1ec7348a1c407f507243e3438db	2014-08-19	1	0	1
425c27d2f91cfbb4f5c28d0161b5c3e8	2013-09-11	1	0	NA
425c27d2f91cfbb4f5c28d0161b5c3e8	2011-11-07	3	3	1
427eda75baa049c735029223fb969d73	2015-07-02	1	0	NA
427eda75baa049c735029223fb969d73	2015-04-24	2	0	1
4290ddf345dcb6097239de4ca9420269	2015-02-18	2	0	NA
4290ddf345dcb6097239de4ca9420269	2014-05-19	3	0	2
42b669a12a30a9fd0b060c127f3667be	2017-11-29	1	0	NA
42b669a12a30a9fd0b060c127f3667be	2016-10-19	2	0	1
42b669a12a30a9fd0b060c127f3667be	2014-07-22	1	0	2
42e1508b702fc8c8179d3102fb8707ae	2016-04-27	0	0	NA
42e1508b702fc8c8179d3102fb8707ae	2009-06-26	4	NA	0
42e6719fcf4c8bdd12b6d0439cabad00	2016-06-23	2	0	NA
42e6719fcf4c8bdd12b6d0439cabad00	2015-10-28	3	0	2
4329079ef79b084099b5f5eb717f5b10	2013-10-14	4	0	NA
4329079ef79b084099b5f5eb717f5b10	2013-08-19	4	0	4
4329079ef79b084099b5f5eb717f5b10	2013-08-06	3	0	4
4329079ef79b084099b5f5eb717f5b10	2013-05-27	4	0	3
4329079ef79b084099b5f5eb717f5b10	2013-01-30	4	0	4
4329079ef79b084099b5f5eb717f5b10	2012-11-16	4	0	4
4329079ef79b084099b5f5eb717f5b10	2012-02-20	4	0	4
4329079ef79b084099b5f5eb717f5b10	2011-12-02	4	0	4
432cbd465ea7bb6e3b6649f66de2f161	2018-12-03	2	0	NA
432cbd465ea7bb6e3b6649f66de2f161	2016-02-22	3	0	2
4332695b476327fc4d790082253b1fa5	2013-12-05	2	2	NA
4332695b476327fc4d790082253b1fa5	2013-04-10	3	3	2
4332695b476327fc4d790082253b1fa5	2012-01-17	2	0	3
4332695b476327fc4d790082253b1fa5	2010-01-06	2	NA	2
4372e151fd421219f5122cc46b15b18b	2019-01-02	0	0	NA
4372e151fd421219f5122cc46b15b18b	2018-11-26	1	0	0
4372e151fd421219f5122cc46b15b18b	2017-09-15	5	0	1
4372e151fd421219f5122cc46b15b18b	2017-03-27	2	1	5
4372e151fd421219f5122cc46b15b18b	2015-05-29	3	0	2
4372e151fd421219f5122cc46b15b18b	2014-06-04	2	0	3
4379314c981ac8078df66fda041ca5b8	2016-03-23	3	0	NA
4379314c981ac8078df66fda041ca5b8	2014-07-28	8	0	3
4387ee704fbecbbd09217f10997bbe3b	2017-06-09	0	0	NA
4387ee704fbecbbd09217f10997bbe3b	2016-11-12	1	0	0
4387ee704fbecbbd09217f10997bbe3b	2016-07-22	0	0	1
4387ee704fbecbbd09217f10997bbe3b	2015-03-06	1	0	0
43d92921b8d1bb804cfbac3db9cf1099	2017-08-18	3	0	NA
43d92921b8d1bb804cfbac3db9cf1099	2016-03-17	4	0	3
440296eaf2a86d0c221975ecac2cfd8b	2016-04-29	2	0	NA
440296eaf2a86d0c221975ecac2cfd8b	2013-06-17	3	0	2
443c4ab20501388e9ce72c565b225bdd	2019-05-13	0	0	NA
443c4ab20501388e9ce72c565b225bdd	2012-09-11	1	0	0
447b7c61c53f7f871b1d5b1b7f37ea02	2014-04-24	0	1	NA
447b7c61c53f7f871b1d5b1b7f37ea02	2010-12-01	2	NA	0
447fd7e5fe4144eea6ecf6de1069ae9d	2017-09-01	1	0	NA
447fd7e5fe4144eea6ecf6de1069ae9d	2016-09-01	2	0	1
453b9a1feebd9b69ba2bb0757cc4cf12	2019-03-08	0	0	NA
453b9a1feebd9b69ba2bb0757cc4cf12	2018-09-03	1	0	0
453fc16884ece087c5d88852e00823ed	2019-07-01	3	0	NA
453fc16884ece087c5d88852e00823ed	2011-10-12	4	0	3
458750d1dce6a844f63fc6bc37dd734a	2013-03-28	1	0	NA
458750d1dce6a844f63fc6bc37dd734a	2011-10-06	2	0	1
4593d47373977a16225aefbd5d9c31c7	2018-08-29	5	0	NA
4593d47373977a16225aefbd5d9c31c7	2017-10-23	3	0	5
4593d47373977a16225aefbd5d9c31c7	2015-06-02	4	0	3
45a03bb85be256f65476a0e6e8243cf3	2019-05-13	2	0	NA
45a03bb85be256f65476a0e6e8243cf3	2017-12-01	2	0	2
45a03bb85be256f65476a0e6e8243cf3	2013-05-30	3	0	2
45c45aa3fd94548f3234d6a6e7305731	2018-11-12	2	0	NA
45c45aa3fd94548f3234d6a6e7305731	2017-08-04	3	0	2
45e24514537c549e6e98dbb0ef002b85	2015-10-22	4	0	NA
45e24514537c549e6e98dbb0ef002b85	2014-12-01	3	0	4
45e24514537c549e6e98dbb0ef002b85	2014-09-25	4	0	3
45e24514537c549e6e98dbb0ef002b85	2010-08-30	4	NA	4
45ec1247ac15e163ab7f02ba10951518	2018-07-09	3	0	NA
45ec1247ac15e163ab7f02ba10951518	2018-03-01	3	0	3
45ec1247ac15e163ab7f02ba10951518	2017-04-13	3	0	3
45ec1247ac15e163ab7f02ba10951518	2017-02-27	2	0	3
45ec1247ac15e163ab7f02ba10951518	2016-07-14	3	0	2
46195cc31aa1d7682f88c0d043a605d6	2019-04-11	2	0	NA
46195cc31aa1d7682f88c0d043a605d6	2016-10-19	2	0	2
46195cc31aa1d7682f88c0d043a605d6	2016-08-11	1	0	2
46195cc31aa1d7682f88c0d043a605d6	2015-12-02	2	0	1
46195cc31aa1d7682f88c0d043a605d6	2011-06-28	0	0	2
464c1c4cbe5bfc1f84de126866a48ab6	2017-05-30	2	0	NA
464c1c4cbe5bfc1f84de126866a48ab6	2014-04-09	2	0	2
464c1c4cbe5bfc1f84de126866a48ab6	2012-04-16	1	0	2
464c1c4cbe5bfc1f84de126866a48ab6	2011-08-19	2	0	1
466808aa0c95eacb1d66d42c4c7a3ef4	2019-07-23	3	0	NA
466808aa0c95eacb1d66d42c4c7a3ef4	2018-08-15	7	0	3
4677e8ab3e4be33be0d90c96bb6c11c0	2012-02-08	2	0	NA
4677e8ab3e4be33be0d90c96bb6c11c0	2010-10-07	3	NA	2
46f373689f3aa47d6a016e04caba8d84	2018-03-12	0	0	NA
46f373689f3aa47d6a016e04caba8d84	2017-05-30	1	0	0
46f373689f3aa47d6a016e04caba8d84	2017-04-25	1	0	1
46f373689f3aa47d6a016e04caba8d84	2015-04-07	0	0	1
471624014b8ae0f5f7bdb1f240845611	2013-09-02	5	0	NA
471624014b8ae0f5f7bdb1f240845611	2013-05-13	7	0	5
471800cb13b87ddd9817d3bf7cc273bc	2019-06-18	5	0	NA
471800cb13b87ddd9817d3bf7cc273bc	2019-03-08	5	0	5
471800cb13b87ddd9817d3bf7cc273bc	2014-03-24	5	1	5
471800cb13b87ddd9817d3bf7cc273bc	2013-01-22	6	2	5
471800cb13b87ddd9817d3bf7cc273bc	2011-05-10	5	2	6
471800cb13b87ddd9817d3bf7cc273bc	2010-08-27	4	NA	5
476f4fbdd17a8ae1b08369c3809dbd21	2014-07-07	0	0	NA
476f4fbdd17a8ae1b08369c3809dbd21	2013-07-02	1	0	0
476f4fbdd17a8ae1b08369c3809dbd21	2011-06-28	1	1	1
47bb3a842975a7d2a9e6abce4456756e	2018-09-20	4	0	NA
47bb3a842975a7d2a9e6abce4456756e	2018-05-09	5	0	4
47f1d6a3d6c6f355afaf40165d4ddbfb	2015-07-28	1	0	NA
47f1d6a3d6c6f355afaf40165d4ddbfb	2015-05-15	3	0	1
47f1d6a3d6c6f355afaf40165d4ddbfb	2014-04-10	1	0	3
47f68672dc3fa966a2f9497f70206860	2018-03-07	4	0	NA
47f68672dc3fa966a2f9497f70206860	2017-09-04	2	0	4
47f68672dc3fa966a2f9497f70206860	2016-12-15	4	0	2
47f68672dc3fa966a2f9497f70206860	2011-09-05	3	0	4
47f68672dc3fa966a2f9497f70206860	2009-04-03	3	NA	3
484572ce5e949d5acbdd17774e4e214b	2013-02-05	2	0	NA
484572ce5e949d5acbdd17774e4e214b	2010-06-16	3	NA	2
484f5ec157fb86aee4cb2a3187d224eb	2013-07-04	3	0	NA
484f5ec157fb86aee4cb2a3187d224eb	2011-06-22	4	0	3
484f5ec157fb86aee4cb2a3187d224eb	2010-01-13	4	NA	4
48526a3d92ad8f07066e3a8636901114	2017-11-14	2	0	NA
48526a3d92ad8f07066e3a8636901114	2009-07-14	3	NA	2
4890e660a43edeacf2853a321bb5f575	2017-09-13	1	0	NA
4890e660a43edeacf2853a321bb5f575	2015-03-26	2	0	1
48944d843a2612a0f8b1a218198cff5f	2011-07-08	0	0	NA
48944d843a2612a0f8b1a218198cff5f	2011-05-06	1	0	0
490622f1942771e3f656b3ea39c12cf1	2016-05-25	0	0	NA
490622f1942771e3f656b3ea39c12cf1	2010-08-11	3	NA	0
4906cf95a4ddfcdb19984113cbe1d598	2017-11-30	0	0	NA
4906cf95a4ddfcdb19984113cbe1d598	2016-11-09	1	0	0
4906cf95a4ddfcdb19984113cbe1d598	2016-09-26	0	0	1
4914b30b3f9408f29bf15839a005f4fa	2018-03-16	2	0	NA
4914b30b3f9408f29bf15839a005f4fa	2016-10-06	4	0	2
49277b7c12445b8754eff36c1d5ac943	2015-12-09	1	0	NA
49277b7c12445b8754eff36c1d5ac943	2010-11-02	2	NA	1
494984512560b60b056ae31c86c22efc	2013-07-09	1	0	NA
494984512560b60b056ae31c86c22efc	2013-06-05	52	0	1
495425dd0972ca5c1c67259af941eb13	2019-05-08	2	0	NA
495425dd0972ca5c1c67259af941eb13	2018-06-07	3	0	2
495425dd0972ca5c1c67259af941eb13	2015-03-30	4	0	3
49d15a4fc63b82c5e4b065d633bceefb	2015-04-01	1	0	NA
49d15a4fc63b82c5e4b065d633bceefb	2014-10-01	0	0	1
49d15a4fc63b82c5e4b065d633bceefb	2014-06-10	1	0	0
49d15a4fc63b82c5e4b065d633bceefb	2013-02-13	1	0	1
49e97d7758d1cee5e995ab9eadc12857	2019-01-25	0	0	NA
49e97d7758d1cee5e995ab9eadc12857	2018-12-05	1	0	0
49e97d7758d1cee5e995ab9eadc12857	2015-01-21	1	0	1
4a1c5a1c2fd3a193f68207a8add95704	2014-09-01	0	0	NA
4a1c5a1c2fd3a193f68207a8add95704	2012-08-02	2	0	0
4a44893597212a4b2b1e87b0dbf7ffc1	2019-08-26	3	0	NA
4a44893597212a4b2b1e87b0dbf7ffc1	2018-05-02	4	0	3
4a44893597212a4b2b1e87b0dbf7ffc1	2016-12-22	4	0	4
4a47a0be2c358784e4e24336655c23de	2012-06-27	0	0	NA
4a47a0be2c358784e4e24336655c23de	2010-04-19	2	NA	0
4a7c36d895708aad863c03849d72ba2e	2016-01-02	1	0	NA
4a7c36d895708aad863c03849d72ba2e	2014-01-15	2	0	1
4a83d813f6998486ae5684fd8a82d793	2018-07-24	3	0	NA
4a83d813f6998486ae5684fd8a82d793	2014-04-01	1	0	3
4a83d813f6998486ae5684fd8a82d793	2013-08-21	3	0	1
4a83d813f6998486ae5684fd8a82d793	2013-02-01	3	0	3
4a83d813f6998486ae5684fd8a82d793	2012-09-10	2	0	3
4a83d813f6998486ae5684fd8a82d793	2010-07-02	2	NA	2
4a83d813f6998486ae5684fd8a82d793	2010-01-04	0	NA	2
4a843d505c3a0656e241fae892394b0c	2018-10-01	2	0	NA
4a843d505c3a0656e241fae892394b0c	2014-10-21	1	0	2
4a843d505c3a0656e241fae892394b0c	2013-08-16	2	0	1
4a9222bfba109c5c918c2d979c2e3aff	2018-08-01	1	0	NA
4a9222bfba109c5c918c2d979c2e3aff	2017-03-16	0	0	1
4a9222bfba109c5c918c2d979c2e3aff	2013-07-22	1	0	0
4a9222bfba109c5c918c2d979c2e3aff	2012-10-01	1	0	1
4a9222bfba109c5c918c2d979c2e3aff	2010-07-19	0	NA	1
4ab1c002dc00d7fc387f28852c4973bc	2017-02-24	1	0	NA
4ab1c002dc00d7fc387f28852c4973bc	2016-12-31	2	0	1
4ab1c002dc00d7fc387f28852c4973bc	2016-08-18	2	0	2
4ab1c002dc00d7fc387f28852c4973bc	2015-04-08	2	0	2
4ac12442304d02a9ac14294c18c79fa2	2017-03-06	2	0	NA
4ac12442304d02a9ac14294c18c79fa2	2012-04-04	1	0	2
4ac12442304d02a9ac14294c18c79fa2	2011-07-21	2	0	1
4ac12442304d02a9ac14294c18c79fa2	2010-05-13	2	NA	2
4acaba40efb444581f24f5f388571f88	2019-08-28	1	0	NA
4acaba40efb444581f24f5f388571f88	2014-01-13	2	0	1
4b1862e0da33613d48787cb89a0ea9e5	2017-09-20	2	1	NA
4b1862e0da33613d48787cb89a0ea9e5	2014-07-01	3	1	2
4b440b0861d860f7ce0ce2179a4db57b	2019-10-28	1	0	NA
4b440b0861d860f7ce0ce2179a4db57b	2017-03-27	0	1	1
4b440b0861d860f7ce0ce2179a4db57b	2016-05-18	1	0	0
4b440b0861d860f7ce0ce2179a4db57b	2013-01-09	1	0	1
4b553f8f5e64101cffa917abff509b20	2016-03-10	2	0	NA
4b553f8f5e64101cffa917abff509b20	2014-04-28	3	0	2
4b5fb02399980da9682ee588e0a403f5	2019-02-25	1	0	NA
4b5fb02399980da9682ee588e0a403f5	2013-04-08	3	1	1
4b5fb02399980da9682ee588e0a403f5	2008-11-06	0	NA	3
4be99bb97fb9e5bde1e40223e35f392c	2016-08-09	0	0	NA
4be99bb97fb9e5bde1e40223e35f392c	2011-07-05	4	4	0
4c6d19b7ca6e2a888b74d9f33f4a4c51	2019-01-21	0	0	NA
4c6d19b7ca6e2a888b74d9f33f4a4c51	2017-06-01	1	0	0
4c8c3690fd88e70ba6d3743841daefc7	2017-05-23	0	0	NA
4c8c3690fd88e70ba6d3743841daefc7	2012-10-09	1	0	0
4c9c8f4beea9c5cece0282dc74dafd35	2019-01-10	2	0	NA
4c9c8f4beea9c5cece0282dc74dafd35	2018-11-27	2	0	2
4c9c8f4beea9c5cece0282dc74dafd35	2018-07-24	4	0	2
4c9c8f4beea9c5cece0282dc74dafd35	2017-08-24	1	0	4
4d01a369704ba8d8a2432f860bd2a22e	2019-01-02	1	0	NA
4d01a369704ba8d8a2432f860bd2a22e	2018-11-05	2	0	1
4d01a369704ba8d8a2432f860bd2a22e	2018-03-19	2	0	2
4d01a369704ba8d8a2432f860bd2a22e	2016-01-26	2	0	2
4d01a369704ba8d8a2432f860bd2a22e	2015-08-31	2	0	2
4d08b50a3290e8c7e5dc9861ebfc9631	2018-01-01	2	0	NA
4d08b50a3290e8c7e5dc9861ebfc9631	2017-11-06	1	0	2
4d08b50a3290e8c7e5dc9861ebfc9631	2017-08-18	2	0	1
4d2c69824c800f7c444b160a69a8d14a	2017-07-26	4	0	NA
4d2c69824c800f7c444b160a69a8d14a	2017-05-02	5	0	4
4d2c69824c800f7c444b160a69a8d14a	2009-12-17	2	NA	5
4d48977371f72ec5315f0f40c615a326	2016-03-14	2	0	NA
4d48977371f72ec5315f0f40c615a326	2015-11-02	0	0	2
4d48977371f72ec5315f0f40c615a326	2015-09-07	0	0	0
4d48977371f72ec5315f0f40c615a326	2014-10-11	2	0	0
4d48977371f72ec5315f0f40c615a326	2014-07-21	2	0	2
4de77e3d7edfab77ec946442c4491183	2019-07-02	3	0	NA
4de77e3d7edfab77ec946442c4491183	2014-10-10	4	0	3
4e0b3d9173d6ad90a099bfae874c7b77	2017-08-08	4	0	NA
4e0b3d9173d6ad90a099bfae874c7b77	2014-04-16	0	0	4
4e0b3d9173d6ad90a099bfae874c7b77	2013-03-15	2	0	0
4e0b3d9173d6ad90a099bfae874c7b77	2013-01-15	2	0	2
4e0b3d9173d6ad90a099bfae874c7b77	2012-12-04	2	0	2
4e0b3d9173d6ad90a099bfae874c7b77	2011-05-25	2	0	2
4e1f599d31ab0397f7ccdf32a350d333	2018-06-05	2	0	NA
4e1f599d31ab0397f7ccdf32a350d333	2017-08-16	3	0	2
4e1f599d31ab0397f7ccdf32a350d333	2015-08-28	3	0	3
4e1f599d31ab0397f7ccdf32a350d333	2011-02-01	3	0	3
4e1f599d31ab0397f7ccdf32a350d333	2011-01-07	3	0	3
4e52bd31d9912d3626dd2d3147a8480d	2019-06-01	1	0	NA
4e52bd31d9912d3626dd2d3147a8480d	2019-04-09	0	0	1
4e52bd31d9912d3626dd2d3147a8480d	2014-10-28	1	0	0
4e60e610f0a884408b25250e935dc830	2019-08-28	2	0	NA
4e60e610f0a884408b25250e935dc830	2017-11-01	4	0	2
4e7aa5e15ecea7bd4e5280ecb72dd89a	2018-07-10	0	0	NA
4e7aa5e15ecea7bd4e5280ecb72dd89a	2010-03-03	1	NA	0
4ea7046599bf7211d631979b3e8161d4	2015-11-19	1	1	NA
4ea7046599bf7211d631979b3e8161d4	2015-09-02	0	0	1
4ea7046599bf7211d631979b3e8161d4	2015-05-27	0	0	0
4ea7046599bf7211d631979b3e8161d4	2014-09-29	1	0	0
4ed4c335c6d83df53c5c044dd234d5fd	2019-07-04	3	0	NA
4ed4c335c6d83df53c5c044dd234d5fd	2019-02-12	5	0	3
4ed4c335c6d83df53c5c044dd234d5fd	2017-04-17	5	0	5
4ed4c335c6d83df53c5c044dd234d5fd	2016-05-26	5	0	5
4ee362cef486d9660736861ae693a7cc	2015-10-14	2	0	NA
4ee362cef486d9660736861ae693a7cc	2013-06-12	3	0	2
4ee362cef486d9660736861ae693a7cc	2012-11-21	3	0	3
4eede3b59b45945008b07b854ac22299	2013-05-07	0	0	NA
4eede3b59b45945008b07b854ac22299	2013-03-11	1	0	0
4f1d43442bc74f6bd1a9417c4091c865	2016-08-24	2	1	NA
4f1d43442bc74f6bd1a9417c4091c865	2016-01-07	4	0	2
4f1d43442bc74f6bd1a9417c4091c865	2015-05-25	2	0	4
4f62ce08c24560d6f8a6faa6119d774f	2011-02-16	1	3	NA
4f62ce08c24560d6f8a6faa6119d774f	2010-06-16	2	NA	1
4f9adb80f56e1f389c7e870273021c7b	2018-03-27	2	0	NA
4f9adb80f56e1f389c7e870273021c7b	2018-02-19	1	0	2
4f9adb80f56e1f389c7e870273021c7b	2015-11-12	2	0	1
4fa07f2cc77283fd0449f6c83f09229d	2015-06-04	3	1	NA
4fa07f2cc77283fd0449f6c83f09229d	2011-07-01	4	1	3
501ea67274c7c75602312c091d3e3d0e	2019-01-02	3	0	NA
501ea67274c7c75602312c091d3e3d0e	2018-05-11	4	0	3
5021c13534417dcfbc533d5f56f7f6df	2016-05-06	0	0	NA
5021c13534417dcfbc533d5f56f7f6df	2016-03-07	1	0	0
5021c13534417dcfbc533d5f56f7f6df	2010-09-27	0	NA	1
5066e58fd7d873a2916d6fccb5377402	2012-09-24	1	0	NA
5066e58fd7d873a2916d6fccb5377402	2009-09-25	2	NA	1
5068460d27443f544f23d53f69b0f656	2011-12-12	3	3	NA
5068460d27443f544f23d53f69b0f656	2011-04-21	2	0	3
5068460d27443f544f23d53f69b0f656	2009-07-08	3	NA	2
509654f6be52977febdb221247875425	2016-03-01	3	0	NA
509654f6be52977febdb221247875425	2015-08-07	4	0	3
51047b0afbd70e2ba5eccfc049cac834	2015-01-09	3	0	NA
51047b0afbd70e2ba5eccfc049cac834	2011-08-04	5	0	3
51700a603a7e87aac1936501d933dcdb	2018-10-09	2	0	NA
51700a603a7e87aac1936501d933dcdb	2017-03-09	3	0	2
51700a603a7e87aac1936501d933dcdb	2012-10-23	2	0	3
51700a603a7e87aac1936501d933dcdb	2010-08-09	1	NA	2
5181bde107c31662087556e4c4abf1f9	2018-08-28	1	0	NA
5181bde107c31662087556e4c4abf1f9	2018-01-22	1	0	1
5181bde107c31662087556e4c4abf1f9	2016-08-05	2	0	1
519508aebc18c11a82240a788f40231c	2019-01-09	3	0	NA
519508aebc18c11a82240a788f40231c	2018-03-02	0	0	3
519508aebc18c11a82240a788f40231c	2014-11-21	3	0	0
519508aebc18c11a82240a788f40231c	2014-01-20	3	0	3
519508aebc18c11a82240a788f40231c	2012-11-05	3	0	3
51963fc8eebd114261a73121b3419f2c	2018-10-17	1	0	NA
51963fc8eebd114261a73121b3419f2c	2018-08-01	1	0	1
51963fc8eebd114261a73121b3419f2c	2018-06-29	0	0	1
51963fc8eebd114261a73121b3419f2c	2018-04-02	1	0	0
51963fc8eebd114261a73121b3419f2c	2011-01-03	0	NA	1
51aeae3a5209604f8f49e980b2e7a18e	2019-05-23	2	0	NA
51aeae3a5209604f8f49e980b2e7a18e	2019-04-24	3	0	2
51af4e9eaade7c9c1df54724dc6a4d9b	2013-10-03	1	0	NA
51af4e9eaade7c9c1df54724dc6a4d9b	2013-07-31	1	0	1
51af4e9eaade7c9c1df54724dc6a4d9b	2013-04-19	1	0	1
51af4e9eaade7c9c1df54724dc6a4d9b	2010-11-18	2	NA	1
51cd9728f50976e94c656eef45e11a3a	2011-07-27	1	1	NA
51cd9728f50976e94c656eef45e11a3a	2011-02-21	3	3	1
51dc7b93c33a94c4e07ff4c76eb7992f	2013-04-15	0	0	NA
51dc7b93c33a94c4e07ff4c76eb7992f	2012-05-31	1	0	0
51dc7b93c33a94c4e07ff4c76eb7992f	2012-02-07	1	1	1
51e9169fa3cdd5d4e98973731b8aacf1	2019-06-03	3	0	NA
51e9169fa3cdd5d4e98973731b8aacf1	2018-10-24	6	0	3
51e9169fa3cdd5d4e98973731b8aacf1	2018-06-27	6	0	6
520337f7e5e3ae2e27b6e4711d4744aa	2018-03-23	1	0	NA
520337f7e5e3ae2e27b6e4711d4744aa	2012-08-10	3	0	1
520337f7e5e3ae2e27b6e4711d4744aa	2009-08-26	3	NA	3
5203d3cb710640c434b0ed0edc33ee8b	2017-09-01	2	0	NA
5203d3cb710640c434b0ed0edc33ee8b	2017-08-03	3	0	2
5213792a34988ee43a5a7827f6d2f0ea	2019-07-10	0	0	NA
5213792a34988ee43a5a7827f6d2f0ea	2018-08-01	2	0	0
52632e99e057cf6d94bd470f60f63da7	2017-03-01	0	0	NA
52632e99e057cf6d94bd470f60f63da7	2016-10-13	1	1	0
529588191f562a4dc8cf8414bd854311	2017-07-13	2	0	NA
529588191f562a4dc8cf8414bd854311	2013-08-21	6	0	2
52cbbc949cdbf6c5594303ca980f9059	2019-03-14	2	0	NA
52cbbc949cdbf6c5594303ca980f9059	2015-02-04	3	0	2
52e7623e7301e09e07a07d9ded620fad	2015-08-12	0	0	NA
52e7623e7301e09e07a07d9ded620fad	2015-03-10	1	1	0
52e7623e7301e09e07a07d9ded620fad	2014-06-01	1	0	1
52e7623e7301e09e07a07d9ded620fad	2013-12-19	1	0	1
52e7623e7301e09e07a07d9ded620fad	2013-05-29	1	0	1
530d5e80317ea2db291abfe25366b3f6	2017-01-10	1	0	NA
530d5e80317ea2db291abfe25366b3f6	2016-06-24	2	0	1
530f0b0a5af5d089c794fc91184574c6	2019-02-25	3	0	NA
530f0b0a5af5d089c794fc91184574c6	2016-01-14	1	0	3
530f0b0a5af5d089c794fc91184574c6	2015-09-17	2	0	1
5313fa3d743517ab126a39174be217e0	2017-06-28	3	0	NA
5313fa3d743517ab126a39174be217e0	2017-03-20	2	0	3
5313fa3d743517ab126a39174be217e0	2014-05-27	3	0	2
53156a8754f60bb5800947e88d818f3e	2019-09-05	3	0	NA
53156a8754f60bb5800947e88d818f3e	2018-05-02	4	0	3
53156a8754f60bb5800947e88d818f3e	2013-10-03	4	0	4
535e94b8b24cfd72cab14ecb5a93cf1d	2014-07-07	5	0	NA
535e94b8b24cfd72cab14ecb5a93cf1d	2012-11-05	2	0	5
535e94b8b24cfd72cab14ecb5a93cf1d	2009-07-08	3	NA	2
537827e722832952e3eeacc28a03fb15	2018-08-27	1	0	NA
537827e722832952e3eeacc28a03fb15	2017-02-14	2	0	1
541b81ddad493ac8abb4afe8cf6fda53	2019-07-08	1	0	NA
541b81ddad493ac8abb4afe8cf6fda53	2019-04-03	1	0	1
541b81ddad493ac8abb4afe8cf6fda53	2008-12-01	2	NA	1
546b1e9be78d388140fcea916e90b548	2014-01-03	0	0	NA
546b1e9be78d388140fcea916e90b548	2011-04-19	2	1	0
549f9350797781538522cc103e7b0ba8	2019-06-12	1	0	NA
549f9350797781538522cc103e7b0ba8	2014-06-10	1	0	1
549f9350797781538522cc103e7b0ba8	2010-10-22	2	NA	1
54bffd91b3959e87ef342ab4429be6cc	2016-06-30	0	0	NA
54bffd91b3959e87ef342ab4429be6cc	2015-03-26	3	0	0
54d57c332ac37e962d06cfaeab4b5883	2018-11-06	2	0	NA
54d57c332ac37e962d06cfaeab4b5883	2013-07-05	5	0	2
54fb94acce4c2316cb3c6ff59d072a05	2012-03-06	2	0	NA
54fb94acce4c2316cb3c6ff59d072a05	2011-02-15	3	0	2
551de24ffd8c989786833dd40b49bf71	2016-12-18	2	0	NA
551de24ffd8c989786833dd40b49bf71	2015-10-15	4	0	2
55378852ffc75c8f45b90b9b27410c89	2016-01-06	2	0	NA
55378852ffc75c8f45b90b9b27410c89	2015-06-17	5	0	2
554a105af7783bca4553e75389fe0bdc	2019-08-02	2	0	NA
554a105af7783bca4553e75389fe0bdc	2018-11-26	3	0	2
558943972578b0f6cfeaff28bdb8838d	2012-08-27	0	0	NA
558943972578b0f6cfeaff28bdb8838d	2012-07-11	1	0	0
559b4c4126f3f53179c19dfbcc16f657	2019-07-01	3	0	NA
559b4c4126f3f53179c19dfbcc16f657	2017-01-23	4	0	3
55ae53d54fb33edb7877ab5cce97c6b5	2018-12-14	2	0	NA
55ae53d54fb33edb7877ab5cce97c6b5	2014-02-10	1	0	2
55ae53d54fb33edb7877ab5cce97c6b5	2010-12-02	2	NA	1
55e100b92ee5561a0ee0e1be7f1565c3	2014-04-15	3	0	NA
55e100b92ee5561a0ee0e1be7f1565c3	2013-08-27	1	1	3
55e100b92ee5561a0ee0e1be7f1565c3	2011-08-02	2	0	1
55e100b92ee5561a0ee0e1be7f1565c3	2011-07-05	2	0	2
562c20e8a7791a3d9c02a63acab77027	2017-01-03	4	0	NA
562c20e8a7791a3d9c02a63acab77027	2015-08-24	5	0	4
562c20e8a7791a3d9c02a63acab77027	2014-11-03	5	0	5
562c20e8a7791a3d9c02a63acab77027	2014-07-22	5	0	5
562c20e8a7791a3d9c02a63acab77027	2010-05-11	3	NA	5
5662d6035927b15bb968b99da5c5af4e	2017-02-27	2	0	NA
5662d6035927b15bb968b99da5c5af4e	2015-10-16	2	0	2
5662d6035927b15bb968b99da5c5af4e	2015-09-25	2	0	2
5662d6035927b15bb968b99da5c5af4e	2015-03-05	2	0	2
5662d6035927b15bb968b99da5c5af4e	2014-10-30	2	0	2
5662d6035927b15bb968b99da5c5af4e	2010-07-08	0	NA	2
5662d6035927b15bb968b99da5c5af4e	2010-02-08	2	NA	0
56a2df77cb9eb54be1b838eb45ae25ad	2018-04-24	2	0	NA
56a2df77cb9eb54be1b838eb45ae25ad	2017-12-07	4	0	2
56bddec6d564e284ff43ecfe33627ab6	2018-10-23	2	0	NA
56bddec6d564e284ff43ecfe33627ab6	2015-02-20	3	0	2
56cbe7bf9c9c8d0e3fc6e2a33e70edff	2017-05-22	0	0	NA
56cbe7bf9c9c8d0e3fc6e2a33e70edff	2016-11-04	1	0	0
56f076c915976241ff3e2fec79d0d0e9	2013-05-23	2	0	NA
56f076c915976241ff3e2fec79d0d0e9	2011-10-03	4	0	2
56f076c915976241ff3e2fec79d0d0e9	2011-08-12	4	0	4
56fc895a407cac4f035db80cabc50040	2013-09-11	2	0	NA
56fc895a407cac4f035db80cabc50040	2012-08-28	3	0	2
57131569169ef582056d0c080ac25130	2014-12-16	2	0	NA
57131569169ef582056d0c080ac25130	2012-07-30	3	0	2
57769f13a102170627953a397f9f2f28	2016-03-17	1	0	NA
57769f13a102170627953a397f9f2f28	2015-01-06	2	0	1
578fed8bbccef3b58195875492788a38	2018-08-29	1	0	NA
578fed8bbccef3b58195875492788a38	2010-10-27	2	NA	1
579a4c59518b61a9b0b58023d45be590	2019-02-13	0	0	NA
579a4c59518b61a9b0b58023d45be590	2018-08-27	1	0	0
579a4c59518b61a9b0b58023d45be590	2014-11-13	0	0	1
579a4c59518b61a9b0b58023d45be590	2013-03-28	0	0	0
57a9ace454c77054db23712e83d0256f	2015-07-09	4	0	NA
57a9ace454c77054db23712e83d0256f	2014-05-27	6	0	4
57c236ff0e47f6d7afa8007f9b9065c6	2016-12-01	0	0	NA
57c236ff0e47f6d7afa8007f9b9065c6	2016-09-05	2	0	0
57cd5621e1439f69cd7021a4ff315a16	2014-03-13	0	0	NA
57cd5621e1439f69cd7021a4ff315a16	2012-12-14	1	0	0
57ff10e5cccad82a2fc707ae11572d13	2016-01-04	2	0	NA
57ff10e5cccad82a2fc707ae11572d13	2014-08-12	4	0	2
5806ebd7b00a220846f95e8f19d01b9b	2016-11-07	2	0	NA
5806ebd7b00a220846f95e8f19d01b9b	2014-10-29	3	0	2
5806ebd7b00a220846f95e8f19d01b9b	2013-10-10	3	0	3
5817753a0915a36d670ba40e0b2dfc37	2016-03-24	2	0	NA
5817753a0915a36d670ba40e0b2dfc37	2014-08-12	3	0	2
584ee4317e5ea5f7ae420070ecfd4a9b	2019-05-16	0	0	NA
584ee4317e5ea5f7ae420070ecfd4a9b	2013-12-18	2	0	0
585a331ab042dec23109aceae1b22d01	2015-05-28	1	0	NA
585a331ab042dec23109aceae1b22d01	2013-02-18	2	0	1
585a331ab042dec23109aceae1b22d01	2012-09-03	2	0	2
585c2a263cd9acecade5b67be1ca246a	2019-05-08	1	0	NA
585c2a263cd9acecade5b67be1ca246a	2019-05-06	4	0	1
585c2a263cd9acecade5b67be1ca246a	2015-05-04	4	0	4
5863edbe847465795f8afd4c7c2b8c36	2015-01-30	1	0	NA
5863edbe847465795f8afd4c7c2b8c36	2014-09-16	2	1	1
5865c2e980bb51ffe2823a3266f92d74	2013-06-24	4	0	NA
5865c2e980bb51ffe2823a3266f92d74	2012-10-26	1	0	4
5865c2e980bb51ffe2823a3266f92d74	2011-12-16	0	0	1
5865c2e980bb51ffe2823a3266f92d74	2010-02-01	2	NA	0
586c9b8ba5d57a63d2d6d97ee5807b63	2019-04-08	2	0	NA
586c9b8ba5d57a63d2d6d97ee5807b63	2019-02-07	3	0	2
586c9b8ba5d57a63d2d6d97ee5807b63	2018-10-01	3	0	3
586ca12603ad0429d347c4841e15a8be	2017-11-08	1	0	NA
586ca12603ad0429d347c4841e15a8be	2014-06-30	0	0	1
586ca12603ad0429d347c4841e15a8be	2012-12-13	1	0	0
58793601be30adce80d8cac168ee736b	2016-07-01	2	0	NA
58793601be30adce80d8cac168ee736b	2015-04-07	2	0	2
58793601be30adce80d8cac168ee736b	2012-09-21	3	0	2
58a7e4296dac1b4850c160b30e69125a	2016-07-12	4	0	NA
58a7e4296dac1b4850c160b30e69125a	2013-08-07	7	0	4
58a90be4d9c29dff648e6c75cbac1f36	2015-03-20	3	0	NA
58a90be4d9c29dff648e6c75cbac1f36	2014-11-11	3	0	3
58a90be4d9c29dff648e6c75cbac1f36	2014-07-28	4	0	3
58bb55deff80476736360d9b7b5c42fb	2018-09-26	0	0	NA
58bb55deff80476736360d9b7b5c42fb	2018-02-14	11	0	0
58c293bce3e112731a5095e45141e725	2014-11-10	2	0	NA
58c293bce3e112731a5095e45141e725	2012-06-29	3	0	2
59385d8a0d784d3c07eb42ded13addf1	2018-07-03	5	0	NA
59385d8a0d784d3c07eb42ded13addf1	2010-05-06	6	NA	5
593ae3ceb02c659551ec2a56702ad148	2017-07-12	4	0	NA
593ae3ceb02c659551ec2a56702ad148	2017-02-02	3	0	4
593ae3ceb02c659551ec2a56702ad148	2015-06-02	4	0	3
59629487938f92621927e66403d2bc3b	2016-02-10	1	0	NA
59629487938f92621927e66403d2bc3b	2014-05-07	0	0	1
59629487938f92621927e66403d2bc3b	2011-09-21	1	0	0
5985faf65d7e3b6ddcb8e8e3f9b1c8c7	2019-08-12	0	0	NA
5985faf65d7e3b6ddcb8e8e3f9b1c8c7	2019-01-21	49	0	0
5985faf65d7e3b6ddcb8e8e3f9b1c8c7	2018-07-23	0	0	49
5985faf65d7e3b6ddcb8e8e3f9b1c8c7	2013-01-16	0	0	0
5985faf65d7e3b6ddcb8e8e3f9b1c8c7	2012-11-05	0	0	0
598dbcec576592ed5af9d595438c7558	2014-12-11	3	0	NA
598dbcec576592ed5af9d595438c7558	2014-06-30	4	0	3
599c5f22e17ff261e8c87e8420cbaf0e	2018-08-01	0	0	NA
599c5f22e17ff261e8c87e8420cbaf0e	2017-02-24	0	0	0
599c5f22e17ff261e8c87e8420cbaf0e	2016-01-26	1	0	0
59e618b10be3d247bfb9a74e44b32efc	2011-09-23	2	0	NA
59e618b10be3d247bfb9a74e44b32efc	2010-11-15	3	NA	2
59e648a92ea4f233df171152dfe490a7	2015-08-03	0	0	NA
59e648a92ea4f233df171152dfe490a7	2015-06-22	2	0	0
59e648a92ea4f233df171152dfe490a7	2014-05-27	2	0	2
59e648a92ea4f233df171152dfe490a7	2014-03-20	2	0	2
59e85ea4efd7f307ec5c9847511d191e	2019-04-18	1	0	NA
59e85ea4efd7f307ec5c9847511d191e	2019-02-28	1	0	1
59e85ea4efd7f307ec5c9847511d191e	2018-12-05	1	0	1
59e85ea4efd7f307ec5c9847511d191e	2017-07-03	1	0	1
59e85ea4efd7f307ec5c9847511d191e	2016-04-20	1	0	1
59e85ea4efd7f307ec5c9847511d191e	2014-05-08	0	0	1
59e85ea4efd7f307ec5c9847511d191e	2011-03-01	1	1	0
59e85ea4efd7f307ec5c9847511d191e	2009-10-23	1	NA	1
5a01b276c6e274409cfe188584528c6d	2018-12-07	4	0	NA
5a01b276c6e274409cfe188584528c6d	2017-09-22	6	0	4
5a1ad4906f1b7e2dc4bb46033933d29e	2013-04-18	0	0	NA
5a1ad4906f1b7e2dc4bb46033933d29e	2013-03-22	3	0	0
5a1ad4906f1b7e2dc4bb46033933d29e	2012-07-30	3	0	3
5a1ad4906f1b7e2dc4bb46033933d29e	2011-10-13	3	0	3
5a1d4b65843fb83d0c7a5b4b21fd0f58	2015-04-14	1	0	NA
5a1d4b65843fb83d0c7a5b4b21fd0f58	2012-10-10	0	1	1
5a1d4b65843fb83d0c7a5b4b21fd0f58	2012-06-14	1	0	0
5ab57063430bbcf17ef3aa6e86b5d864	2013-05-07	6	0	NA
5ab57063430bbcf17ef3aa6e86b5d864	2013-03-12	5	0	6
5ab57063430bbcf17ef3aa6e86b5d864	2010-12-30	6	0	5
5ac0fed299fb7425e404bb856c2496ad	2019-04-22	2	0	NA
5ac0fed299fb7425e404bb856c2496ad	2018-02-07	1	0	2
5ac0fed299fb7425e404bb856c2496ad	2015-11-20	2	0	1
5ac0fed299fb7425e404bb856c2496ad	2011-10-17	3	0	2
5af954ff3acde4f7d82caee53f35ddc3	2019-09-02	4	0	NA
5af954ff3acde4f7d82caee53f35ddc3	2018-03-02	4	0	4
5af954ff3acde4f7d82caee53f35ddc3	2015-10-26	5	0	4
5af954ff3acde4f7d82caee53f35ddc3	2014-09-25	4	0	5
5af954ff3acde4f7d82caee53f35ddc3	2009-12-30	2	NA	4
5b132cf78173bd5056bc887f06444adb	2017-08-29	1	0	NA
5b132cf78173bd5056bc887f06444adb	2015-05-11	3	0	1
5b25e9d472e59911df950d74bf24fb85	2018-04-19	1	0	NA
5b25e9d472e59911df950d74bf24fb85	2017-08-21	0	0	1
5b25e9d472e59911df950d74bf24fb85	2016-08-03	1	0	0
5b25e9d472e59911df950d74bf24fb85	2011-03-16	1	0	1
5b25e9d472e59911df950d74bf24fb85	2010-06-23	1	NA	1
5b560772c92877049c60fc5f933c4f1c	2016-10-12	2	0	NA
5b560772c92877049c60fc5f933c4f1c	2013-08-13	3	0	2
5b560772c92877049c60fc5f933c4f1c	2009-08-17	2	NA	3
5bb781d9306ce4d247c2ee3678ffd169	2017-11-15	0	0	NA
5bb781d9306ce4d247c2ee3678ffd169	2015-12-04	1	0	0
5bb781d9306ce4d247c2ee3678ffd169	2014-05-08	0	1	1
5bb781d9306ce4d247c2ee3678ffd169	2009-11-04	1	NA	0
5bbdf2d2e73f767bfdf33f45e79d5917	2017-02-01	1	0	NA
5bbdf2d2e73f767bfdf33f45e79d5917	2015-12-03	3	0	1
5bc5ab69ac910565580a178f63ac299f	2014-09-10	0	0	NA
5bc5ab69ac910565580a178f63ac299f	2014-06-16	3	0	0
5bd84fd871e911ce17db2bd89deffc68	2018-05-10	1	0	NA
5bd84fd871e911ce17db2bd89deffc68	2018-02-14	3	0	1
5c19d8be90cfc379c51ffbe1dc297d8e	2014-04-10	3	0	NA
5c19d8be90cfc379c51ffbe1dc297d8e	2012-11-08	5	0	3
5c2bf6f6257851975e01e3b5dfcd725c	2015-05-26	1	0	NA
5c2bf6f6257851975e01e3b5dfcd725c	2014-11-11	1	0	1
5c2bf6f6257851975e01e3b5dfcd725c	2011-11-01	1	0	1
5c2bf6f6257851975e01e3b5dfcd725c	2011-01-24	2	0	1
5c427408dfdd4ff2489fc993306ee79e	2019-03-05	3	0	NA
5c427408dfdd4ff2489fc993306ee79e	2018-08-08	4	0	3
5c65baa586fed22ac669d42b2b7bbbaa	2019-04-09	4	0	NA
5c65baa586fed22ac669d42b2b7bbbaa	2019-02-08	5	0	4
5c65baa586fed22ac669d42b2b7bbbaa	2017-03-07	5	0	5
5c8f3e9f02c39493cd12cd26abf1f405	2018-12-12	1	0	NA
5c8f3e9f02c39493cd12cd26abf1f405	2018-01-04	2	0	1
5c9cab9526612a3deb1d0f30ca586ce3	2015-03-24	1	0	NA
5c9cab9526612a3deb1d0f30ca586ce3	2014-09-22	2	0	1
5cdcad7a67a68e5a49b22329a8e55a76	2012-04-23	1	0	NA
5cdcad7a67a68e5a49b22329a8e55a76	2010-04-23	2	NA	1
5d1ed3fee13db69fdaffad09044374d1	2014-07-22	2	0	NA
5d1ed3fee13db69fdaffad09044374d1	2013-01-08	3	0	2
5d1ed3fee13db69fdaffad09044374d1	2011-01-03	3	3	3
5d460151f3c6fd890b804f117bb95756	2013-08-14	2	0	NA
5d460151f3c6fd890b804f117bb95756	2013-07-02	3	0	2
5d460151f3c6fd890b804f117bb95756	2012-09-03	3	0	3
5d460151f3c6fd890b804f117bb95756	2010-07-07	3	NA	3
5d5a2ccec0c72943afdfdea3d55a24a5	2016-10-03	3	0	NA
5d5a2ccec0c72943afdfdea3d55a24a5	2016-04-21	2	0	3
5d5a2ccec0c72943afdfdea3d55a24a5	2015-11-23	3	0	2
5d6c29a499297d834e268880b9e710bd	2012-09-03	3	0	NA
5d6c29a499297d834e268880b9e710bd	2012-08-28	4	0	3
5d6c29a499297d834e268880b9e710bd	2007-12-18	3	NA	4
5d96af150e547ac105176a6e8f9dbc0e	2019-02-11	2	0	NA
5d96af150e547ac105176a6e8f9dbc0e	2018-05-30	2	0	2
5d96af150e547ac105176a6e8f9dbc0e	2017-11-21	3	0	2
5d96af150e547ac105176a6e8f9dbc0e	2016-11-17	3	0	3
5d9b26a3caa4d3c029abcac6ed875c5e	2011-02-02	1	0	NA
5d9b26a3caa4d3c029abcac6ed875c5e	2010-05-03	2	NA	1
5dbeef09e7d209c6384f23f3421a47aa	2014-06-16	1	0	NA
5dbeef09e7d209c6384f23f3421a47aa	2014-04-15	2	0	1
5dbeef09e7d209c6384f23f3421a47aa	2010-05-06	1	NA	2
5dcc3f7072f6e7b8767a7764f5210223	2014-05-16	0	0	NA
5dcc3f7072f6e7b8767a7764f5210223	2014-03-20	14	0	0
5dec4a32784e54b9f52f771fd1ed052e	2017-04-11	2	0	NA
5dec4a32784e54b9f52f771fd1ed052e	2017-03-17	3	0	2
5dec4a32784e54b9f52f771fd1ed052e	2016-02-16	2	0	3
5dec4a32784e54b9f52f771fd1ed052e	2014-09-01	3	0	2
5df752405b3351905e7e030c8cb57921	2017-02-27	5	0	NA
5df752405b3351905e7e030c8cb57921	2016-12-05	6	0	5
5df752405b3351905e7e030c8cb57921	2015-04-16	5	0	6
5e03da56d4c7139f695ddb16ee07bb5b	2019-07-01	2	0	NA
5e03da56d4c7139f695ddb16ee07bb5b	2018-12-21	3	0	2
5e03da56d4c7139f695ddb16ee07bb5b	2018-04-02	3	0	3
5e03da56d4c7139f695ddb16ee07bb5b	2018-02-01	3	0	3
5e03da56d4c7139f695ddb16ee07bb5b	2011-12-12	1	0	3
5e08ff0bb44647f1428eec5b348cbd45	2018-08-20	1	0	NA
5e08ff0bb44647f1428eec5b348cbd45	2018-05-08	1	0	1
5e08ff0bb44647f1428eec5b348cbd45	2016-03-14	1	0	1
5e08ff0bb44647f1428eec5b348cbd45	2015-02-18	0	0	1
5e08ff0bb44647f1428eec5b348cbd45	2014-10-30	1	0	0
5e08ff0bb44647f1428eec5b348cbd45	2014-07-21	1	0	1
5e1791207979e9030b745c00457f2d89	2014-08-14	2	0	NA
5e1791207979e9030b745c00457f2d89	2013-08-19	2	0	2
5e1791207979e9030b745c00457f2d89	2011-04-19	3	0	2
5e1e74f70086a43d6397f2e53debe244	2018-06-20	0	0	NA
5e1e74f70086a43d6397f2e53debe244	2017-03-08	1	0	0
5e1e74f70086a43d6397f2e53debe244	2015-12-10	2	0	1
5e1e74f70086a43d6397f2e53debe244	2012-12-04	0	0	2
5e1eb16cdd49b71a7bc31f4732e19fa1	2019-02-04	1	0	NA
5e1eb16cdd49b71a7bc31f4732e19fa1	2018-01-09	3	0	1
5e1eb16cdd49b71a7bc31f4732e19fa1	2014-04-14	2	0	3
5e1eb16cdd49b71a7bc31f4732e19fa1	2012-05-05	2	0	2
5e1f3171231c096f8a40827951b9aca9	2014-07-11	3	0	NA
5e1f3171231c096f8a40827951b9aca9	2013-11-18	4	0	3
5e2b50904ae1b5f6bd0422f4ce6a4510	2017-06-30	1	0	NA
5e2b50904ae1b5f6bd0422f4ce6a4510	2013-02-12	0	0	1
5e2b50904ae1b5f6bd0422f4ce6a4510	2012-03-05	1	0	0
5e59ae26db477f99f783fed72f3d3c30	2016-09-01	0	0	NA
5e59ae26db477f99f783fed72f3d3c30	2015-04-21	0	0	0
5e59ae26db477f99f783fed72f3d3c30	2014-08-14	0	0	0
5e59ae26db477f99f783fed72f3d3c30	2014-05-12	2	0	0
5e5fb913670fe6b6ecdcd3c55c6a2468	2017-02-14	2	0	NA
5e5fb913670fe6b6ecdcd3c55c6a2468	2009-11-27	3	NA	2
5e75de8f9693c1dec520d4293dfc990f	2015-02-18	3	0	NA
5e75de8f9693c1dec520d4293dfc990f	2013-05-14	4	0	3
5e75de8f9693c1dec520d4293dfc990f	2010-07-26	4	NA	4
5e7bb1a3904ed5fbf544adb5893b1ccf	2019-03-01	0	0	NA
5e7bb1a3904ed5fbf544adb5893b1ccf	2017-07-26	1	0	0
5e7c359e037e9c7c2410009794f0a55f	2019-07-02	2	0	NA
5e7c359e037e9c7c2410009794f0a55f	2019-02-01	3	0	2
5e84034c2f771eae28b1833480d71149	2015-10-22	1	0	NA
5e84034c2f771eae28b1833480d71149	2012-08-14	1	0	1
5e84034c2f771eae28b1833480d71149	2011-11-18	1	0	1
5e84034c2f771eae28b1833480d71149	2011-10-03	2	0	1
5e9156e8119bd5faa7b92b946f972c6f	2015-06-22	3	0	NA
5e9156e8119bd5faa7b92b946f972c6f	2014-07-22	3	0	3
5e9156e8119bd5faa7b92b946f972c6f	2012-09-04	2	0	3
5e9156e8119bd5faa7b92b946f972c6f	2011-08-23	3	0	2
5eae11e4d772232a13ab8991361b3dc5	2017-10-10	1	0	NA
5eae11e4d772232a13ab8991361b3dc5	2016-09-15	2	0	1
5eae11e4d772232a13ab8991361b3dc5	2016-01-26	2	0	2
5eae11e4d772232a13ab8991361b3dc5	2015-10-08	2	0	2
5eae11e4d772232a13ab8991361b3dc5	2011-08-08	1	1	2
5eae11e4d772232a13ab8991361b3dc5	2011-04-21	2	2	1
5ebc5439f9db863ff8744778280360db	2017-05-10	7	0	NA
5ebc5439f9db863ff8744778280360db	2015-09-10	4	0	7
5ebc5439f9db863ff8744778280360db	2014-05-13	10	0	4
5ebc5439f9db863ff8744778280360db	2012-04-05	6	0	10
5ebc5439f9db863ff8744778280360db	2011-07-04	10	0	6
5ebc5439f9db863ff8744778280360db	2011-05-13	10	0	10
5f0ec311e4d0e4c7cd56fe76a098a78f	2016-03-14	4	0	NA
5f0ec311e4d0e4c7cd56fe76a098a78f	2015-05-19	6	0	4
5f1d1262f1631457878199cf597b01b9	2017-07-20	1	0	NA
5f1d1262f1631457878199cf597b01b9	2017-04-03	2	0	1
5f1d1262f1631457878199cf597b01b9	2017-03-15	1	0	2
5f1d1262f1631457878199cf597b01b9	2016-10-19	1	0	1
5f1d1262f1631457878199cf597b01b9	2013-03-01	1	0	1
5f1d1262f1631457878199cf597b01b9	2011-12-15	1	0	1
5f2e9af63730ca0c5f5e37f61595f7d1	2018-05-28	0	0	NA
5f2e9af63730ca0c5f5e37f61595f7d1	2017-10-02	0	0	0
5f2e9af63730ca0c5f5e37f61595f7d1	2015-06-16	0	0	0
5f2e9af63730ca0c5f5e37f61595f7d1	2015-04-22	1	0	0
5f4035a0fa4447cddbeb138c8c33bb53	2017-11-02	1	0	NA
5f4035a0fa4447cddbeb138c8c33bb53	2015-06-15	4	0	1
5f4035a0fa4447cddbeb138c8c33bb53	2014-11-04	4	0	4
5f4f7720f1c4afd26aa369debd01084d	2017-12-18	2	0	NA
5f4f7720f1c4afd26aa369debd01084d	2013-07-29	3	0	2
5f4f7720f1c4afd26aa369debd01084d	2013-02-07	2	0	3
5f4f7720f1c4afd26aa369debd01084d	2011-06-29	2	0	2
5f4f7720f1c4afd26aa369debd01084d	2011-05-17	2	0	2
5f7f746951e7596320de55c09b1cabed	2015-05-22	1	0	NA
5f7f746951e7596320de55c09b1cabed	2011-10-20	3	0	1
5f918815f94ff1607498add70f642977	2016-02-08	1	0	NA
5f918815f94ff1607498add70f642977	2015-12-17	2	0	1
5fce7db4d357005c55301641458a995f	2017-07-03	1	0	NA
5fce7db4d357005c55301641458a995f	2016-05-26	1	0	1
5fce7db4d357005c55301641458a995f	2014-11-24	2	0	1
5fd4971763e5c9c8c1d7163593156e15	2018-09-07	1	0	NA
5fd4971763e5c9c8c1d7163593156e15	2014-05-06	4	0	1
5ff19d26fd93d8f535478ca11fb504fe	2019-01-07	2	0	NA
5ff19d26fd93d8f535478ca11fb504fe	2018-03-28	0	0	2
5ff19d26fd93d8f535478ca11fb504fe	2018-03-19	2	0	0
60059021edde4fe046f6a66a1253c7e4	2017-01-16	1	0	NA
60059021edde4fe046f6a66a1253c7e4	2013-11-08	2	0	1
60059021edde4fe046f6a66a1253c7e4	2013-06-04	0	0	2
6061bbf673474dfc0a0f6d9ad49d3026	2018-04-17	1	0	NA
6061bbf673474dfc0a0f6d9ad49d3026	2017-12-27	2	0	1
6061bbf673474dfc0a0f6d9ad49d3026	2016-07-12	2	0	2
6061bbf673474dfc0a0f6d9ad49d3026	2016-01-15	2	0	2
6061bbf673474dfc0a0f6d9ad49d3026	2014-11-27	2	0	2
60689d64ee1a41b5f565a77eb7572197	2015-11-27	2	0	NA
60689d64ee1a41b5f565a77eb7572197	2015-06-11	4	0	2
608128bade3313068c279b85f9e48210	2013-02-04	2	0	NA
608128bade3313068c279b85f9e48210	2011-03-05	3	0	2
608128bade3313068c279b85f9e48210	2009-10-09	3	NA	3
6084b5a37397374a0b69cf41d9d4801e	2019-06-14	1	0	NA
6084b5a37397374a0b69cf41d9d4801e	2013-05-02	2	0	1
6084b5a37397374a0b69cf41d9d4801e	2012-08-27	2	0	2
60c18f7db9d1e7abc6d508336587c04c	2011-07-01	2	2	NA
60c18f7db9d1e7abc6d508336587c04c	2010-12-16	3	NA	2
60c794a1997e4b2b94595e8336c9f137	2019-02-26	3	0	NA
60c794a1997e4b2b94595e8336c9f137	2018-06-29	2	0	3
60c794a1997e4b2b94595e8336c9f137	2016-07-28	3	0	2
60c794a1997e4b2b94595e8336c9f137	2012-11-01	2	0	3
60ec4a9be88592b5987528f81c23fb93	2016-03-16	1	0	NA
60ec4a9be88592b5987528f81c23fb93	2014-10-13	1	0	1
60ec4a9be88592b5987528f81c23fb93	2014-06-11	1	0	1
60ec4a9be88592b5987528f81c23fb93	2012-05-01	2	0	1
60ec4a9be88592b5987528f81c23fb93	2011-03-30	1	1	2
612f73dc60f095e02d123a699c60bf7e	2019-10-01	0	0	NA
612f73dc60f095e02d123a699c60bf7e	2014-04-09	1	0	0
612f73dc60f095e02d123a699c60bf7e	2012-09-12	1	0	1
613228c3c8541ff243fc51fbe2c6777a	2017-04-18	2	0	NA
613228c3c8541ff243fc51fbe2c6777a	2017-02-20	3	0	2
614b003cc8d923b89cfc4db9f4a77dca	2017-07-11	0	0	NA
614b003cc8d923b89cfc4db9f4a77dca	2017-03-20	2	0	0
614b003cc8d923b89cfc4db9f4a77dca	2015-11-26	2	0	2
61ec75ba56284fca5521c13aae7db3f8	2013-07-23	2	0	NA
61ec75ba56284fca5521c13aae7db3f8	2013-02-12	3	0	2
61f5861294bf69e702ca25eef5799832	2016-11-11	1	0	NA
61f5861294bf69e702ca25eef5799832	2016-07-04	1	0	1
61f5861294bf69e702ca25eef5799832	2015-06-12	2	0	1
61f5861294bf69e702ca25eef5799832	2014-10-20	1	0	2
61f5861294bf69e702ca25eef5799832	2012-01-11	1	0	1
620b2b4f74e181893ca0f81e4f9bb9eb	2015-09-16	2	0	NA
620b2b4f74e181893ca0f81e4f9bb9eb	2014-02-18	3	0	2
621144f7ed91234526146315a164ec40	2017-10-17	0	0	NA
621144f7ed91234526146315a164ec40	2011-06-08	1	1	0
621144f7ed91234526146315a164ec40	2011-04-08	1	0	1
622f3abf67d432bd76551c43e9dba168	2015-01-08	1	0	NA
622f3abf67d432bd76551c43e9dba168	2012-01-13	2	0	1
62a8de1efedaff5c1bb64160cdbd6fb6	2019-01-11	1	0	NA
62a8de1efedaff5c1bb64160cdbd6fb6	2018-05-11	1	0	1
62a8de1efedaff5c1bb64160cdbd6fb6	2016-04-05	28	0	1
62a8de1efedaff5c1bb64160cdbd6fb6	2015-12-03	1	0	28
62a8de1efedaff5c1bb64160cdbd6fb6	2015-08-06	1	0	1
62accbacb7866830e74ea5bd1d6e48f1	2019-10-14	2	0	NA
62accbacb7866830e74ea5bd1d6e48f1	2017-09-08	3	0	2
62accbacb7866830e74ea5bd1d6e48f1	2014-07-08	3	0	3
62c26758cca9222f7a00cbef55c97584	2016-03-30	3	0	NA
62c26758cca9222f7a00cbef55c97584	2015-10-01	4	0	3
62c26758cca9222f7a00cbef55c97584	2015-09-04	4	0	4
62cdc54f067630bf259d3a32b6a5b2a2	2019-02-27	3	0	NA
62cdc54f067630bf259d3a32b6a5b2a2	2018-04-06	3	0	3
62cdc54f067630bf259d3a32b6a5b2a2	2015-07-27	52	0	3
62d799b657b746d8ac138a3bd0a56dfb	2019-05-08	1	0	NA
62d799b657b746d8ac138a3bd0a56dfb	2013-07-10	3	0	1
62f1b0d5d5b529e9bb787ed93112c905	2019-02-04	1	0	NA
62f1b0d5d5b529e9bb787ed93112c905	2013-08-26	2	0	1
62fa3868d238c0c3a59a034756221a2a	2017-12-11	1	0	NA
62fa3868d238c0c3a59a034756221a2a	2016-12-29	2	0	1
630df8600a55ef54fd0aa4d6f2c0fb16	2015-10-26	2	0	NA
630df8600a55ef54fd0aa4d6f2c0fb16	2013-09-24	3	0	2
631f5337133fa4fac0090aa8ce9c6327	2019-10-21	3	0	NA
631f5337133fa4fac0090aa8ce9c6327	2019-04-30	2	0	3
631f5337133fa4fac0090aa8ce9c6327	2017-06-19	2	0	2
631f5337133fa4fac0090aa8ce9c6327	2017-01-27	3	0	2
631f5337133fa4fac0090aa8ce9c6327	2013-06-04	0	0	3
631f5337133fa4fac0090aa8ce9c6327	2011-01-04	0	0	0
6338195bfe941793a799e5f85e5ca19e	2015-01-14	2	0	NA
6338195bfe941793a799e5f85e5ca19e	2013-03-07	3	0	2
633fbb6471b6d7a0f610cd774bf62988	2015-01-08	0	0	NA
633fbb6471b6d7a0f610cd774bf62988	2014-01-28	2	0	0
633fbb6471b6d7a0f610cd774bf62988	2013-02-26	2	0	2
63f9aeb2888b7809bc812933bdffac30	2014-04-21	2	0	NA
63f9aeb2888b7809bc812933bdffac30	2013-01-28	4	0	2
6402b13d4c2fb1cf984638eb5631e0a2	2018-01-09	1	0	NA
6402b13d4c2fb1cf984638eb5631e0a2	2017-05-15	2	0	1
6402b13d4c2fb1cf984638eb5631e0a2	2017-04-04	2	0	2
6426656e5d336215b6572d8cf207b36f	2015-03-31	1	1	NA
6426656e5d336215b6572d8cf207b36f	2015-03-27	2	1	1
642a2a7163e8b17894910f0921c0250a	2015-03-27	1	0	NA
642a2a7163e8b17894910f0921c0250a	2012-01-13	3	0	1
64b9179af51c094ef9ffa8fd5f053f4b	2019-06-01	0	0	NA
64b9179af51c094ef9ffa8fd5f053f4b	2017-11-13	0	0	0
64b9179af51c094ef9ffa8fd5f053f4b	2017-05-23	0	0	0
64b9179af51c094ef9ffa8fd5f053f4b	2016-07-27	0	0	0
64b9179af51c094ef9ffa8fd5f053f4b	2016-04-19	0	0	0
64b9179af51c094ef9ffa8fd5f053f4b	2016-01-29	0	0	0
64b9179af51c094ef9ffa8fd5f053f4b	2015-03-27	3	0	0
64c20c22448c474f0187001df112693d	2018-11-06	1	0	NA
64c20c22448c474f0187001df112693d	2017-10-06	0	0	1
64c20c22448c474f0187001df112693d	2017-04-10	1	1	0
64c6741418d0c9f261189e0d125e09c8	2018-03-01	1	0	NA
64c6741418d0c9f261189e0d125e09c8	2015-09-24	2	0	1
64dc1c14ec9eb0f15d5a2180105370bc	2017-01-10	0	0	NA
64dc1c14ec9eb0f15d5a2180105370bc	2011-11-21	1	0	0
64e97456dd85c19f655bf66dfaacfc48	2017-05-15	1	0	NA
64e97456dd85c19f655bf66dfaacfc48	2017-01-30	0	0	1
64e97456dd85c19f655bf66dfaacfc48	2016-07-01	2	0	0
64f4240d507aca8306be9b831e04cb17	2016-06-07	7	0	NA
64f4240d507aca8306be9b831e04cb17	2015-06-16	4	1	7
64f4240d507aca8306be9b831e04cb17	2015-03-04	7	0	4
653e49abc67608c13e034e388131382b	2017-06-01	3	0	NA
653e49abc67608c13e034e388131382b	2012-05-31	4	0	3
654f3ca21224d8e6f6fbd34b3313e0cb	2016-08-29	1	0	NA
654f3ca21224d8e6f6fbd34b3313e0cb	2011-03-21	4	0	1
654f3ca21224d8e6f6fbd34b3313e0cb	2010-04-20	1	NA	4
656b323948313178045ebe69eaf4b63c	2016-03-04	0	0	NA
656b323948313178045ebe69eaf4b63c	2013-03-15	2	0	0
65d8ee9b03cbfdb4bc0d4e8b1d50a80e	2017-08-01	3	0	NA
65d8ee9b03cbfdb4bc0d4e8b1d50a80e	2014-07-28	3	0	3
65d8ee9b03cbfdb4bc0d4e8b1d50a80e	2014-06-10	2	0	3
65d8ee9b03cbfdb4bc0d4e8b1d50a80e	2011-02-22	3	0	2
65d8ee9b03cbfdb4bc0d4e8b1d50a80e	2009-10-05	3	NA	3
65f5f4b1813b0aee3338efdbe4c530b7	2019-02-20	3	0	NA
65f5f4b1813b0aee3338efdbe4c530b7	2015-06-08	2	0	3
65f5f4b1813b0aee3338efdbe4c530b7	2013-01-14	5	0	2
66234f718fa04b803c95772ede006ce2	2019-03-27	2	0	NA
66234f718fa04b803c95772ede006ce2	2016-12-01	3	0	2
66832c6892aaf19a0710907c9ae4f485	2018-02-02	2	0	NA
66832c6892aaf19a0710907c9ae4f485	2017-11-03	3	0	2
66a87459ee05e5b6c72a734c0a4cdd1a	2016-03-31	3	0	NA
66a87459ee05e5b6c72a734c0a4cdd1a	2011-01-03	3	3	3
66a87459ee05e5b6c72a734c0a4cdd1a	2010-07-19	3	NA	3
66a87459ee05e5b6c72a734c0a4cdd1a	2009-09-14	5	NA	3
66c34b788a296591ccd3ed6a36c133a3	2015-06-11	3	0	NA
66c34b788a296591ccd3ed6a36c133a3	2014-11-04	0	0	3
66c34b788a296591ccd3ed6a36c133a3	2014-01-30	3	0	0
66c34b788a296591ccd3ed6a36c133a3	2013-04-18	3	0	3
66c34b788a296591ccd3ed6a36c133a3	2010-09-21	3	NA	3
66e12b7f931a1a99a8633a1b492a8417	2013-06-03	0	0	NA
66e12b7f931a1a99a8633a1b492a8417	2012-04-17	1	0	0
67134a32273f48fd05a76759c20c1668	2016-03-11	2	0	NA
67134a32273f48fd05a76759c20c1668	2013-10-03	3	0	2
6718c98dec202761962ee0e09196554a	2016-12-20	3	0	NA
6718c98dec202761962ee0e09196554a	2015-08-28	1	0	3
6718c98dec202761962ee0e09196554a	2012-12-20	3	1	1
675db915f9b72ca8209af209da1a5b09	2017-03-27	1	0	NA
675db915f9b72ca8209af209da1a5b09	2015-04-20	2	0	1
676cead17af50c584c90f79ae8846b99	2012-08-22	0	0	NA
676cead17af50c584c90f79ae8846b99	2011-01-19	2	0	0
67d387d067736ce3815959ba96ba1b4a	2017-10-20	4	0	NA
67d387d067736ce3815959ba96ba1b4a	2016-11-16	3	0	4
67d387d067736ce3815959ba96ba1b4a	2015-01-20	4	0	3
67da36022555d710da6a2b0a289fa1ff	2018-06-01	4	0	NA
67da36022555d710da6a2b0a289fa1ff	2017-12-14	3	0	4
67da36022555d710da6a2b0a289fa1ff	2017-09-11	4	0	3
67e10e24f8d31c941b35ad9dc6be7acd	2016-04-20	2	0	NA
67e10e24f8d31c941b35ad9dc6be7acd	2014-02-06	3	0	2
67e395cfb7f7dd737c94b38970f6f35f	2018-06-29	2	0	NA
67e395cfb7f7dd737c94b38970f6f35f	2012-09-03	5	0	2
67e4f8edcf503748d6ef6a1f7b5fc8b9	2012-05-08	2	0	NA
67e4f8edcf503748d6ef6a1f7b5fc8b9	2010-03-10	3	NA	2
681177d84a38fe1cb82beb129167d04f	2018-01-12	1	0	NA
681177d84a38fe1cb82beb129167d04f	2017-03-23	1	0	1
681177d84a38fe1cb82beb129167d04f	2016-07-19	0	0	1
681177d84a38fe1cb82beb129167d04f	2013-12-02	1	0	0
6829dad323cf6e0cd98ffe83e3b96fb0	2019-05-03	3	0	NA
6829dad323cf6e0cd98ffe83e3b96fb0	2017-08-08	1	0	3
6829dad323cf6e0cd98ffe83e3b96fb0	2015-08-03	2	0	1
684309d06127ecef3470d0ca6bbffe4d	2019-05-20	1	0	NA
684309d06127ecef3470d0ca6bbffe4d	2012-08-13	3	0	1
684309d06127ecef3470d0ca6bbffe4d	2010-03-22	4	NA	3
68757012556c73e190ea839f4cb80e65	2015-08-17	2	0	NA
68757012556c73e190ea839f4cb80e65	2013-06-03	1	0	2
68757012556c73e190ea839f4cb80e65	2013-03-12	2	0	1
6886e8329c46ff05df4a6a005724c206	2016-03-08	5	0	NA
6886e8329c46ff05df4a6a005724c206	2015-03-28	6	1	5
68972e6bd4b45ac72a3b0d897fe91fda	2019-09-05	3	0	NA
68972e6bd4b45ac72a3b0d897fe91fda	2015-07-30	4	0	3
68972e6bd4b45ac72a3b0d897fe91fda	2013-10-09	3	0	4
6900c12574a6c5612af370b0dd4e510c	2017-09-01	2	0	NA
6900c12574a6c5612af370b0dd4e510c	2017-01-24	3	0	2
69057b1f12767865e6f28c43df38084e	2017-04-05	1	0	NA
69057b1f12767865e6f28c43df38084e	2014-09-30	1	0	1
69057b1f12767865e6f28c43df38084e	2014-09-24	2	0	1
69057b1f12767865e6f28c43df38084e	2013-04-15	0	0	2
69057b1f12767865e6f28c43df38084e	2012-09-25	1	0	0
69057b1f12767865e6f28c43df38084e	2012-06-08	0	0	1
69057b1f12767865e6f28c43df38084e	2010-03-16	0	NA	0
6908466f96446436d85bb5a491b8f40f	2019-04-25	0	0	NA
6908466f96446436d85bb5a491b8f40f	2012-05-09	0	0	0
6908466f96446436d85bb5a491b8f40f	2011-12-12	1	0	0
692d4a37604742738e929351a36a2002	2015-04-15	1	0	NA
692d4a37604742738e929351a36a2002	2014-01-22	2	0	1
698172455255eafdc60764970d162976	2015-03-11	1	0	NA
698172455255eafdc60764970d162976	2012-03-15	2	0	1
6a419e1f3ce0a35c0600f09955b86e93	2016-05-31	1	0	NA
6a419e1f3ce0a35c0600f09955b86e93	2011-02-22	3	0	1
6a53351bbffd135776a29f7c09403100	2019-08-27	0	0	NA
6a53351bbffd135776a29f7c09403100	2019-05-03	1	0	0
6a53351bbffd135776a29f7c09403100	2018-06-04	1	0	1
6a53351bbffd135776a29f7c09403100	2018-03-09	0	0	1
6a53351bbffd135776a29f7c09403100	2011-08-01	1	0	0
6a55cb34fee5ce5f15c02d50887249c8	2017-10-16	1	0	NA
6a55cb34fee5ce5f15c02d50887249c8	2017-08-30	2	0	1
6a55cb34fee5ce5f15c02d50887249c8	2012-06-21	1	0	2
6a55cb34fee5ce5f15c02d50887249c8	2011-08-26	1	0	1
6a70c74167f9b3daa5be1b010d694316	2013-06-12	1	0	NA
6a70c74167f9b3daa5be1b010d694316	2011-03-01	3	0	1
6a81bc96e3f17c4e89f3c88d1174c4b1	2019-02-02	4	0	NA
6a81bc96e3f17c4e89f3c88d1174c4b1	2018-03-19	5	0	4
6a81bc96e3f17c4e89f3c88d1174c4b1	2017-08-01	5	0	5
6a81bc96e3f17c4e89f3c88d1174c4b1	2017-03-09	4	0	5
6a81bc96e3f17c4e89f3c88d1174c4b1	2016-10-20	5	0	4
6ac852d6423a5a6820831c1bef0213d1	2013-07-05	1	0	NA
6ac852d6423a5a6820831c1bef0213d1	2012-05-28	2	0	1
6acdda834cdf0cf1c93966f3bd55fcf0	2015-07-07	4	0	NA
6acdda834cdf0cf1c93966f3bd55fcf0	2013-11-06	4	0	4
6acdda834cdf0cf1c93966f3bd55fcf0	2011-08-16	4	4	4
6acdda834cdf0cf1c93966f3bd55fcf0	2010-08-05	3	NA	4
6acdda834cdf0cf1c93966f3bd55fcf0	2010-07-06	4	NA	3
6ad2b9a93bfeb89797bd1a09c96f7339	2019-05-27	2	0	NA
6ad2b9a93bfeb89797bd1a09c96f7339	2018-08-01	3	0	2
6ad2b9a93bfeb89797bd1a09c96f7339	2018-05-14	3	0	3
6ad2b9a93bfeb89797bd1a09c96f7339	2017-11-22	3	0	3
6ad2b9a93bfeb89797bd1a09c96f7339	2017-06-01	2	0	3
6ad2b9a93bfeb89797bd1a09c96f7339	2014-11-04	3	0	2
6ad2b9a93bfeb89797bd1a09c96f7339	2012-11-13	2	0	3
6adf58836a26c2b87e632209bd22536f	2017-03-09	2	0	NA
6adf58836a26c2b87e632209bd22536f	2016-12-16	4	0	2
6adf58836a26c2b87e632209bd22536f	2014-05-22	4	0	4
6aeee901068c08581521f639f0d82b9d	2018-05-15	3	0	NA
6aeee901068c08581521f639f0d82b9d	2017-10-02	3	0	3
6aeee901068c08581521f639f0d82b9d	2016-06-23	3	0	3
6aeee901068c08581521f639f0d82b9d	2015-01-06	5	0	3
6aeee901068c08581521f639f0d82b9d	2013-04-05	3	0	5
6b3a49e7fef5a183e96ad0a119c28b01	2014-09-25	0	0	NA
6b3a49e7fef5a183e96ad0a119c28b01	2014-01-08	1	0	0
6b718650420d4e3990623c46d0b6086a	2018-10-10	1	0	NA
6b718650420d4e3990623c46d0b6086a	2017-02-03	1	0	1
6b718650420d4e3990623c46d0b6086a	2016-07-05	3	1	1
6b923f2c501473a45f533bacebfdcd03	2016-12-20	3	0	NA
6b923f2c501473a45f533bacebfdcd03	2016-01-28	2	0	3
6b923f2c501473a45f533bacebfdcd03	2015-02-27	2	0	2
6b923f2c501473a45f533bacebfdcd03	2014-09-24	3	0	2
6b937811265713c5c9fc89ea9b790e93	2019-05-08	1	0	NA
6b937811265713c5c9fc89ea9b790e93	2018-04-17	2	0	1
6b9883a030a8fab6c8cdaf16b6aa0962	2014-11-13	5	0	NA
6b9883a030a8fab6c8cdaf16b6aa0962	2014-06-26	7	0	5
6ba6571c660e68f235044c7a6eb7cd16	2018-05-14	1	0	NA
6ba6571c660e68f235044c7a6eb7cd16	2018-02-23	0	0	1
6ba6571c660e68f235044c7a6eb7cd16	2017-11-17	1	0	0
6ba6571c660e68f235044c7a6eb7cd16	2017-07-06	1	0	1
6ba6571c660e68f235044c7a6eb7cd16	2012-02-24	1	0	1
6ba6571c660e68f235044c7a6eb7cd16	2010-09-14	1	NA	1
6bb34e2bc5d857e67f3e15d9ea9a4516	2018-08-27	2	0	NA
6bb34e2bc5d857e67f3e15d9ea9a4516	2015-06-09	2	0	2
6bb34e2bc5d857e67f3e15d9ea9a4516	2012-04-03	0	0	2
6bb34e2bc5d857e67f3e15d9ea9a4516	2011-03-21	1	0	0
6bb34e2bc5d857e67f3e15d9ea9a4516	2010-05-26	1	NA	1
6bc1f07ce218fcce7f7373ec7daf2cc2	2019-05-14	1	0	NA
6bc1f07ce218fcce7f7373ec7daf2cc2	2019-01-22	4	0	1
6bd98ec288505058e34026c7bac76d6b	2018-01-29	4	0	NA
6bd98ec288505058e34026c7bac76d6b	2017-06-08	4	0	4
6bd98ec288505058e34026c7bac76d6b	2017-02-28	5	0	4
6bd98ec288505058e34026c7bac76d6b	2012-07-30	4	0	5
6bddde9514edcb9adee6f4efdb48319f	2019-02-19	3	0	NA
6bddde9514edcb9adee6f4efdb48319f	2016-02-22	4	0	3
6bddde9514edcb9adee6f4efdb48319f	2015-03-26	4	0	4
6c57075ad3257dd6bb01a31fa221f5c1	2018-04-05	4	0	NA
6c57075ad3257dd6bb01a31fa221f5c1	2011-04-12	6	0	4
6c6fcacb373a300ffd7c4894405447c9	2017-09-01	1	0	NA
6c6fcacb373a300ffd7c4894405447c9	2015-07-23	4	0	1
6c72431b8dd16c2939cb079bec13fd45	2017-05-31	2	0	NA
6c72431b8dd16c2939cb079bec13fd45	2017-02-02	3	0	2
6c72431b8dd16c2939cb079bec13fd45	2014-04-14	3	0	3
6c72431b8dd16c2939cb079bec13fd45	2013-06-25	2	0	3
6c811932e2f707706efe396aee019d50	2017-03-01	1	0	NA
6c811932e2f707706efe396aee019d50	2015-05-25	2	0	1
6c811932e2f707706efe396aee019d50	2009-08-27	0	NA	2
6c85d77637218a3aab88cc76d74bdf21	2019-10-11	1	0	NA
6c85d77637218a3aab88cc76d74bdf21	2019-03-13	2	0	1
6c85d77637218a3aab88cc76d74bdf21	2018-11-13	2	0	2
6c85d77637218a3aab88cc76d74bdf21	2018-07-19	2	0	2
6c929d1c762bc2161df8a3d68e8eaafc	2018-11-13	0	0	NA
6c929d1c762bc2161df8a3d68e8eaafc	2017-12-18	1	0	0
6c929d1c762bc2161df8a3d68e8eaafc	2013-08-07	0	0	1
6c929d1c762bc2161df8a3d68e8eaafc	2010-01-01	0	NA	0
6ca5bb42b3bf456a0074a8fbe7fa644f	2017-03-17	2	0	NA
6ca5bb42b3bf456a0074a8fbe7fa644f	2015-08-28	0	0	2
6ca5bb42b3bf456a0074a8fbe7fa644f	2012-06-11	1	0	0
6cd4efd67140d88c6a85f1e3198a97a4	2017-07-24	3	0	NA
6cd4efd67140d88c6a85f1e3198a97a4	2015-03-02	1	0	3
6cd4efd67140d88c6a85f1e3198a97a4	2013-07-18	3	0	1
6cfc0e022e2fec32a17ab00d6d40de8e	2017-12-05	3	0	NA
6cfc0e022e2fec32a17ab00d6d40de8e	2016-06-28	3	0	3
6cfc0e022e2fec32a17ab00d6d40de8e	2015-01-07	3	0	3
6cfc0e022e2fec32a17ab00d6d40de8e	2013-05-06	3	0	3
6cfc0e022e2fec32a17ab00d6d40de8e	2013-03-12	1	0	3
6cfc0e022e2fec32a17ab00d6d40de8e	2012-03-28	3	0	1
6cfc0e022e2fec32a17ab00d6d40de8e	2011-09-21	3	0	3
6cfc0e022e2fec32a17ab00d6d40de8e	2009-12-01	3	NA	3
6d1138c22881e11e878b3b75e8c59756	2018-05-02	2	0	NA
6d1138c22881e11e878b3b75e8c59756	2010-01-04	4	NA	2
6d140f047bb3989d7b28bc2b84b1a0f1	2018-06-06	6	0	NA
6d140f047bb3989d7b28bc2b84b1a0f1	2018-02-26	8	0	6
6d1b910e4465303536950490b7208c8e	2016-07-06	1	0	NA
6d1b910e4465303536950490b7208c8e	2015-04-22	3	0	1
6d1b910e4465303536950490b7208c8e	2013-10-16	2	0	3
6d3205070799566df984a506a5698c87	2012-04-12	1	0	NA
6d3205070799566df984a506a5698c87	2010-08-12	2	NA	1
6d467dba75f46dd541d95ce1b5be1748	2015-01-27	1	0	NA
6d467dba75f46dd541d95ce1b5be1748	2014-07-07	1	0	1
6d467dba75f46dd541d95ce1b5be1748	2011-02-17	2	0	1
6d533b6ebd408688d42997b791dd8a75	2016-10-05	2	0	NA
6d533b6ebd408688d42997b791dd8a75	2016-05-05	0	0	2
6d533b6ebd408688d42997b791dd8a75	2015-10-01	4	0	0
6d559024915da8e1aa43ec1f8b877223	2017-05-08	0	0	NA
6d559024915da8e1aa43ec1f8b877223	2016-07-06	1	0	0
6d559024915da8e1aa43ec1f8b877223	2016-05-16	1	0	1
6d559024915da8e1aa43ec1f8b877223	2015-05-27	1	0	1
6d88d4645f52c3d0a915131f69ddaf43	2019-09-17	3	0	NA
6d88d4645f52c3d0a915131f69ddaf43	2019-08-01	6	0	3
6d88d4645f52c3d0a915131f69ddaf43	2019-01-14	3	0	6
6d88d4645f52c3d0a915131f69ddaf43	2012-06-04	2	0	3
6d91c315f6e14af86c4c37335f33377c	2019-09-30	1	0	NA
6d91c315f6e14af86c4c37335f33377c	2017-08-02	2	0	1
6d941f3d0ccb6d8ba80380d1108bbb20	2014-01-28	4	0	NA
6d941f3d0ccb6d8ba80380d1108bbb20	2013-10-02	5	0	4
6da8fb78b5fa38adb2a83e7ba18da6ec	2014-02-24	0	0	NA
6da8fb78b5fa38adb2a83e7ba18da6ec	2013-07-23	4	4	0
6da8fb78b5fa38adb2a83e7ba18da6ec	2013-05-13	0	0	4
6da8fb78b5fa38adb2a83e7ba18da6ec	2012-09-25	1	1	0
6dbc3be38f2aeb3d49acb7f58b6c9d7b	2013-05-14	3	0	NA
6dbc3be38f2aeb3d49acb7f58b6c9d7b	2012-11-14	5	0	3
6dd1ccd2d63f98770ea8a05d60cfbe54	2016-05-20	2	0	NA
6dd1ccd2d63f98770ea8a05d60cfbe54	2015-08-19	3	0	2
6dd750028b4eede931c206add3505451	2012-02-27	1	0	NA
6dd750028b4eede931c206add3505451	2011-11-23	5	0	1
6ddf520cb672a9b184bfa0f9651ffc6e	2017-11-28	1	0	NA
6ddf520cb672a9b184bfa0f9651ffc6e	2017-01-19	2	0	1
6df0932380ac18a22dec2a76c8c0f0d1	2018-04-14	1	0	NA
6df0932380ac18a22dec2a76c8c0f0d1	2018-02-20	2	0	1
6e030ca6f8792084d9cb869a17dfde44	2014-02-10	3	0	NA
6e030ca6f8792084d9cb869a17dfde44	2009-11-09	4	NA	3
6e27fb38cdd7c7ed2b889abc7991ffd8	2016-10-13	4	0	NA
6e27fb38cdd7c7ed2b889abc7991ffd8	2013-04-18	3	0	4
6e27fb38cdd7c7ed2b889abc7991ffd8	2012-05-24	3	0	3
6e27fb38cdd7c7ed2b889abc7991ffd8	2011-01-27	1	0	3
6e27fb38cdd7c7ed2b889abc7991ffd8	2010-02-09	2	NA	1
6e3742b6a587a4984510276e8dffd584	2015-05-07	0	0	NA
6e3742b6a587a4984510276e8dffd584	2015-03-09	1	0	0
6e3742b6a587a4984510276e8dffd584	2011-03-02	1	0	1
6e4f54b813d76355131122f3ba15d15e	2015-06-04	2	0	NA
6e4f54b813d76355131122f3ba15d15e	2014-09-16	4	0	2
6e4f54b813d76355131122f3ba15d15e	2014-05-29	2	0	4
6e4f54b813d76355131122f3ba15d15e	2014-01-29	2	0	2
6e4f54b813d76355131122f3ba15d15e	2013-10-08	2	0	2
6e583c105be0ef5b85e611a63af19497	2011-08-17	1	0	NA
6e583c105be0ef5b85e611a63af19497	2011-01-27	2	0	1
6e6c965c9705a22ff20f9a52ad60dbb9	2016-02-29	0	0	NA
6e6c965c9705a22ff20f9a52ad60dbb9	2016-01-05	1	0	0
6e6c965c9705a22ff20f9a52ad60dbb9	2013-03-22	1	0	1
6e75afae1ec9dc8a43f58c53ee12bce2	2019-01-21	3	0	NA
6e75afae1ec9dc8a43f58c53ee12bce2	2015-05-08	56	0	3
6ecea380ebcd2d9699d815a9be61b391	2015-05-19	1	0	NA
6ecea380ebcd2d9699d815a9be61b391	2012-08-07	4	0	1
6ecea380ebcd2d9699d815a9be61b391	2011-04-04	1	0	4
6f13e7519b21fba94a5f1073560a299d	2018-08-28	0	0	NA
6f13e7519b21fba94a5f1073560a299d	2015-08-21	1	0	0
6f49e495d6405667160586b8848d9943	2013-07-22	3	0	NA
6f49e495d6405667160586b8848d9943	2012-07-26	4	0	3
6f6a12e8b604b72ae46f15eab9236f9f	2018-12-07	0	0	NA
6f6a12e8b604b72ae46f15eab9236f9f	2017-09-29	3	0	0
6f6a23d8d0b426b2c63d0a68637f118c	2017-07-20	3	0	NA
6f6a23d8d0b426b2c63d0a68637f118c	2017-01-02	4	0	3
6f6a23d8d0b426b2c63d0a68637f118c	2015-03-02	0	0	4
6f731257ef655eea138a3dadbed695c7	2017-09-25	2	0	NA
6f731257ef655eea138a3dadbed695c7	2017-07-27	3	0	2
6f7a824fdfd32e544d5cafc6bf794e54	2011-12-19	0	0	NA
6f7a824fdfd32e544d5cafc6bf794e54	2011-01-17	1	0	0
6faa630f15e4bb127d6100e2863bf898	2016-07-15	4	0	NA
6faa630f15e4bb127d6100e2863bf898	2015-03-26	4	0	4
6faa630f15e4bb127d6100e2863bf898	2012-08-08	3	0	4
6faa630f15e4bb127d6100e2863bf898	2011-02-15	4	0	3
6ff0cfcf0f16599cd068b39b8bc3addd	2015-08-04	2	0	NA
6ff0cfcf0f16599cd068b39b8bc3addd	2015-05-19	3	0	2
700dc06a25f9a68eed1a8cc9fff11aa4	2015-10-21	0	0	NA
700dc06a25f9a68eed1a8cc9fff11aa4	2014-08-26	2	0	0
700dc06a25f9a68eed1a8cc9fff11aa4	2013-05-30	2	0	2
701087d1ef5199a6684b7ede9e9e9b10	2017-06-12	0	0	NA
701087d1ef5199a6684b7ede9e9e9b10	2015-02-24	1	0	0
703916ec2f084b3c9e9f75ab6c678add	2019-08-19	2	0	NA
703916ec2f084b3c9e9f75ab6c678add	2017-11-07	4	0	2
70576286dea7106dacfcf26c93e479e3	2017-09-04	1	0	NA
70576286dea7106dacfcf26c93e479e3	2014-10-16	2	0	1
70597f2a60f6148d50cf465be1a3edb5	2015-07-29	1	0	NA
70597f2a60f6148d50cf465be1a3edb5	2014-07-14	2	0	1
70b43a58f11dfcb3765facf4d79dcfd9	2016-04-04	0	0	NA
70b43a58f11dfcb3765facf4d79dcfd9	2015-06-10	1	0	0
70b7b9d4a2202c596b64b17a4e2e869a	2018-09-14	1	0	NA
70b7b9d4a2202c596b64b17a4e2e869a	2014-08-26	1	0	1
70b7b9d4a2202c596b64b17a4e2e869a	2014-01-10	2	1	1
70b7b9d4a2202c596b64b17a4e2e869a	2013-10-28	2	0	2
70b7b9d4a2202c596b64b17a4e2e869a	2013-07-29	2	0	2
70d1d00d05b37bc94a239b89e42308af	2014-11-11	0	0	NA
70d1d00d05b37bc94a239b89e42308af	2013-07-24	1	0	0
70d1d00d05b37bc94a239b89e42308af	2012-10-27	1	0	1
70ef4c11bd83ad688da21b1923d8241f	2012-06-06	1	0	NA
70ef4c11bd83ad688da21b1923d8241f	2010-09-28	2	NA	1
711850dafaa8632a1adad82661bcb99e	2018-10-23	1	0	NA
711850dafaa8632a1adad82661bcb99e	2018-03-16	0	0	1
711850dafaa8632a1adad82661bcb99e	2018-02-01	1	0	0
711850dafaa8632a1adad82661bcb99e	2018-01-12	1	0	1
711a49b5db06c01385f84dea84cce81b	2013-01-15	0	0	NA
711a49b5db06c01385f84dea84cce81b	2012-08-01	2	0	0
711a49b5db06c01385f84dea84cce81b	2011-08-01	0	0	2
711a49b5db06c01385f84dea84cce81b	2011-01-07	0	0	0
717c8b16fa565c90653ec4192fd6c297	2019-02-21	1	0	NA
717c8b16fa565c90653ec4192fd6c297	2016-07-04	2	0	1
71bdbdb1cd294f06e6c442deddfe2e86	2017-01-16	2	0	NA
71bdbdb1cd294f06e6c442deddfe2e86	2016-10-27	2	0	2
71bdbdb1cd294f06e6c442deddfe2e86	2016-06-02	3	0	2
71c48221ba078ae722997b095b9b2f20	2017-02-15	1	1	NA
71c48221ba078ae722997b095b9b2f20	2016-05-24	3	0	1
71c7fab4802898db5a3ab07b53cab756	2014-08-25	1	0	NA
71c7fab4802898db5a3ab07b53cab756	2014-02-04	4	0	1
71ca70e34d0db51a1fedd36c1d5db321	2018-04-12	1	0	NA
71ca70e34d0db51a1fedd36c1d5db321	2016-12-06	3	0	1
71d133fc3bf18f77d17b8e817b3bc959	2017-01-31	0	0	NA
71d133fc3bf18f77d17b8e817b3bc959	2016-11-15	2	0	0
7244bb3dae8ff0ecf3db639abe67a86d	2010-08-23	0	NA	NA
7244bb3dae8ff0ecf3db639abe67a86d	2009-12-14	1	NA	0
7254ade7587f29202196fb75b17dc272	2015-10-21	3	0	NA
7254ade7587f29202196fb75b17dc272	2015-01-21	1	0	3
7254ade7587f29202196fb75b17dc272	2014-11-03	2	0	1
72b4e3b71a543f43a3c3b3eb5d5aea27	2017-06-08	4	0	NA
72b4e3b71a543f43a3c3b3eb5d5aea27	2017-01-14	6	0	4
72b4e3b71a543f43a3c3b3eb5d5aea27	2016-11-18	6	0	6
72b9978d6dc397ed8a0b6668cf983ae7	2018-03-06	2	0	NA
72b9978d6dc397ed8a0b6668cf983ae7	2015-12-21	3	0	2
72c11b0d94c9e512408a80bc05ded42c	2015-05-11	0	0	NA
72c11b0d94c9e512408a80bc05ded42c	2011-10-03	1	0	0
730cd79a74ab31f02d775479aa5258ee	2015-01-02	1	0	NA
730cd79a74ab31f02d775479aa5258ee	2014-10-22	2	0	1
7322baa0fa07bc43160d938d088da333	2017-11-09	2	0	NA
7322baa0fa07bc43160d938d088da333	2017-01-17	3	0	2
7322baa0fa07bc43160d938d088da333	2015-10-14	3	0	3
735c0910edd411d98f9ae9757208f3f1	2019-06-14	2	0	NA
735c0910edd411d98f9ae9757208f3f1	2016-07-04	3	0	2
735c0910edd411d98f9ae9757208f3f1	2015-05-14	4	1	3
7370ad493fafae267944ba96664dcf9a	2019-01-09	1	0	NA
7370ad493fafae267944ba96664dcf9a	2018-05-31	3	0	1
7370ad493fafae267944ba96664dcf9a	2016-05-23	3	0	3
7389e8b3a1169b1228a37bff0a1cab67	2018-01-18	2	0	NA
7389e8b3a1169b1228a37bff0a1cab67	2016-09-14	3	0	2
7389e8b3a1169b1228a37bff0a1cab67	2016-04-20	3	0	3
73b79c3f419afc332b6cf2036aae6134	2016-01-04	5	0	NA
73b79c3f419afc332b6cf2036aae6134	2014-11-17	6	0	5
73c7b9d3890d866fa5275f7234c03fbb	2019-03-01	2	0	NA
73c7b9d3890d866fa5275f7234c03fbb	2018-06-22	3	0	2
73cdfa0e7f4196b0b258652fbb9414d5	2018-09-14	3	0	NA
73cdfa0e7f4196b0b258652fbb9414d5	2018-03-24	3	0	3
73cdfa0e7f4196b0b258652fbb9414d5	2018-01-09	2	0	3
73cdfa0e7f4196b0b258652fbb9414d5	2015-04-14	3	0	2
73d054ff26ad50a7a389e2cb1db5a24f	2014-07-25	1	0	NA
73d054ff26ad50a7a389e2cb1db5a24f	2013-01-17	2	0	1
741fa0e55065318c3f58430345b47a9b	2011-02-09	1	0	NA
741fa0e55065318c3f58430345b47a9b	2010-08-06	2	NA	1
7449c793187735c56507644f06cbb7cb	2018-03-28	1	0	NA
7449c793187735c56507644f06cbb7cb	2013-07-17	2	0	1
748e08e5f0ee030d3ace838e55ecae51	2019-01-28	2	0	NA
748e08e5f0ee030d3ace838e55ecae51	2014-03-01	6	0	2
7502ac2888aaeb297c92703fc696ac10	2015-01-26	1	0	NA
7502ac2888aaeb297c92703fc696ac10	2014-04-08	1	0	1
7502ac2888aaeb297c92703fc696ac10	2013-01-06	0	0	1
7502ac2888aaeb297c92703fc696ac10	2011-06-29	1	0	0
7507279e2093db10575923ca374474f4	2018-07-03	4	0	NA
7507279e2093db10575923ca374474f4	2014-02-24	5	0	4
7550e92b0844ae702a052574a53dc5e3	2017-07-26	1	0	NA
7550e92b0844ae702a052574a53dc5e3	2013-12-17	2	0	1
7550e92b0844ae702a052574a53dc5e3	2013-07-15	1	0	2
7550e92b0844ae702a052574a53dc5e3	2010-01-18	1	NA	1
75587548fcfe66e4e94d447853b65ef7	2011-08-13	1	0	NA
75587548fcfe66e4e94d447853b65ef7	2010-12-24	2	0	1
75765261ce18bb76c7e3f2b61b309fcb	2017-11-01	2	0	NA
75765261ce18bb76c7e3f2b61b309fcb	2017-07-11	2	0	2
75765261ce18bb76c7e3f2b61b309fcb	2016-07-01	1	0	2
75765261ce18bb76c7e3f2b61b309fcb	2012-09-10	2	0	1
75765261ce18bb76c7e3f2b61b309fcb	2010-05-31	2	NA	2
75765261ce18bb76c7e3f2b61b309fcb	2009-05-27	2	NA	2
758958487294deda789f41a5b2371281	2017-08-17	1	0	NA
758958487294deda789f41a5b2371281	2016-09-12	2	0	1
75b493039df2e22a432d2018da684a25	2019-01-22	3	0	NA
75b493039df2e22a432d2018da684a25	2018-07-03	3	0	3
75b493039df2e22a432d2018da684a25	2017-02-03	2	1	3
75b493039df2e22a432d2018da684a25	2016-01-04	3	0	2
75b493039df2e22a432d2018da684a25	2014-05-13	3	0	3
75f557c5af83fdb8ad8730e93e293d1c	2019-05-13	0	0	NA
75f557c5af83fdb8ad8730e93e293d1c	2018-11-12	2	0	0
75fcd784e20c7577c85ef770efeb28aa	2017-08-07	3	0	NA
75fcd784e20c7577c85ef770efeb28aa	2014-08-18	4	0	3
75fcd784e20c7577c85ef770efeb28aa	2010-05-03	2	NA	4
760ab7c11c153e3f46a49b28e7d28109	2015-12-01	0	0	NA
760ab7c11c153e3f46a49b28e7d28109	2014-12-01	1	0	0
76202c957d182d8d88f33d436556ca3f	2018-04-02	2	0	NA
76202c957d182d8d88f33d436556ca3f	2016-01-14	5	0	2
76202c957d182d8d88f33d436556ca3f	2014-07-31	5	0	5
762995c9c7071960a3926ab3a9d57a5f	2010-04-19	1	NA	NA
762995c9c7071960a3926ab3a9d57a5f	2009-11-03	2	NA	1
762b59f5ecdf8635d3e0b6ce599c9ec3	2018-11-14	2	0	NA
762b59f5ecdf8635d3e0b6ce599c9ec3	2016-08-24	3	0	2
76637e65139b532675a6e58ae81c7365	2012-11-09	0	0	NA
76637e65139b532675a6e58ae81c7365	2010-10-20	1	NA	0
768c4ca9b74603a26d1acd89f5945779	2018-06-01	0	0	NA
768c4ca9b74603a26d1acd89f5945779	2017-03-20	5	0	0
768c4ca9b74603a26d1acd89f5945779	2016-03-18	5	0	5
768c4ca9b74603a26d1acd89f5945779	2015-11-30	5	0	5
768c4ca9b74603a26d1acd89f5945779	2013-02-05	5	0	5
768e250830f52c4eba1d2bf634cd52b1	2016-03-28	0	0	NA
768e250830f52c4eba1d2bf634cd52b1	2014-10-08	4	0	0
7692e60485607f656a044e1ea698e3f7	2016-04-01	2	0	NA
7692e60485607f656a044e1ea698e3f7	2015-04-23	38	0	2
7692e60485607f656a044e1ea698e3f7	2013-01-31	2	0	38
7692e60485607f656a044e1ea698e3f7	2012-02-03	2	0	2
76ab61f257e011ee33ff90ca82e798f1	2017-01-16	2	0	NA
76ab61f257e011ee33ff90ca82e798f1	2014-08-11	5	0	2
76e02b957001c4782084e263fb2a7536	2016-05-03	2	0	NA
76e02b957001c4782084e263fb2a7536	2016-02-16	2	0	2
76e02b957001c4782084e263fb2a7536	2015-11-27	0	0	2
76e02b957001c4782084e263fb2a7536	2011-11-16	1	0	0
76e5f94516a6854fe494fe4bc5a7c832	2014-04-22	3	0	NA
76e5f94516a6854fe494fe4bc5a7c832	2013-06-25	4	0	3
774ba16f10f7e6c71dc3a2550119be42	2012-01-01	3	0	NA
774ba16f10f7e6c71dc3a2550119be42	2010-07-15	4	NA	3
774d526cff81e1e099f235559c0d179f	2015-05-28	3	0	NA
774d526cff81e1e099f235559c0d179f	2014-08-14	1	0	3
774d526cff81e1e099f235559c0d179f	2014-06-23	0	0	1
774d526cff81e1e099f235559c0d179f	2013-12-26	3	0	0
774d526cff81e1e099f235559c0d179f	2012-02-22	3	0	3
77d0329eaa067e883edc4455f840f44a	2019-04-12	1	0	NA
77d0329eaa067e883edc4455f840f44a	2018-07-09	2	0	1
77e26754aa658d4a4b48c3e01602f043	2015-10-13	0	0	NA
77e26754aa658d4a4b48c3e01602f043	2014-10-15	1	0	0
77e26754aa658d4a4b48c3e01602f043	2014-08-04	1	1	1
7805705172d5cc15fb8032390664d82e	2019-05-07	5	0	NA
7805705172d5cc15fb8032390664d82e	2018-04-03	3	0	5
7805705172d5cc15fb8032390664d82e	2015-01-19	5	0	3
7805705172d5cc15fb8032390664d82e	2014-03-20	5	0	5
780a3c8c661e7eba48b90ba01d355671	2016-03-14	0	0	NA
780a3c8c661e7eba48b90ba01d355671	2014-04-14	1	0	0
780a3c8c661e7eba48b90ba01d355671	2013-12-18	1	0	1
780c3340df74f1eb49884b6811ecaac2	2019-08-01	3	0	NA
780c3340df74f1eb49884b6811ecaac2	2019-01-11	5	0	3
7826a5256e01c620293d987651090e0b	2015-06-08	3	0	NA
7826a5256e01c620293d987651090e0b	2015-01-15	3	0	3
7826a5256e01c620293d987651090e0b	2014-01-23	4	0	3
7826a5256e01c620293d987651090e0b	2012-12-03	4	0	4
7826a5256e01c620293d987651090e0b	2012-06-04	4	0	4
782f3d888c739d3a0e373a8091227c8a	2014-09-23	0	0	NA
782f3d888c739d3a0e373a8091227c8a	2013-08-20	1	0	0
782f3d888c739d3a0e373a8091227c8a	2013-07-15	0	0	1
784661322b632a209067a7df5134826c	2018-11-01	3	0	NA
784661322b632a209067a7df5134826c	2018-08-03	1	0	3
784661322b632a209067a7df5134826c	2016-11-01	2	0	1
784661322b632a209067a7df5134826c	2011-11-09	1	0	2
7862fc88c102063b2bb06f090df31466	2011-04-01	0	0	NA
7862fc88c102063b2bb06f090df31466	2010-08-02	3	NA	0
787c5289472db62fe129e7d8c76a1f0b	2016-05-11	1	0	NA
787c5289472db62fe129e7d8c76a1f0b	2015-11-17	2	0	1
78b53d7e099c895d0b0c9b0f73188539	2019-02-15	6	0	NA
78b53d7e099c895d0b0c9b0f73188539	2015-09-03	4	0	6
78b53d7e099c895d0b0c9b0f73188539	2010-07-27	5	NA	4
78e326a2fa8ddf7653194abb3aa85ac2	2012-03-22	0	0	NA
78e326a2fa8ddf7653194abb3aa85ac2	2010-06-05	8	NA	0
78f294b2d0ea614cecc686ded22eb627	2018-12-10	0	0	NA
78f294b2d0ea614cecc686ded22eb627	2018-06-21	0	0	0
78f294b2d0ea614cecc686ded22eb627	2016-01-19	1	0	0
79009010c371daa02c4d062199fb4e18	2015-02-16	5	1	NA
79009010c371daa02c4d062199fb4e18	2011-01-04	6	0	5
790fdac28a64b4a9dc9fbe71b8630740	2016-10-13	0	0	NA
790fdac28a64b4a9dc9fbe71b8630740	2016-04-26	2	0	0
79133d5ccae5cb495138acc2fed0908d	2019-04-09	2	0	NA
79133d5ccae5cb495138acc2fed0908d	2018-08-09	3	0	2
794e9dbc46eabdf8679a7603d2bf84e8	2018-07-13	3	0	NA
794e9dbc46eabdf8679a7603d2bf84e8	2014-04-03	5	0	3
796bb0dca038df48c860e8f6b7d05f75	2017-01-24	2	0	NA
796bb0dca038df48c860e8f6b7d05f75	2015-06-16	3	0	2
7a187db6b3002443c5c6ff026e33c49e	2019-10-01	1	0	NA
7a187db6b3002443c5c6ff026e33c49e	2015-02-03	3	0	1
7a187db6b3002443c5c6ff026e33c49e	2013-03-12	3	0	3
7a2c06fd20319c3bd497f562e2de1041	2019-01-10	2	0	NA
7a2c06fd20319c3bd497f562e2de1041	2016-05-02	2	0	2
7a2c06fd20319c3bd497f562e2de1041	2015-03-09	3	0	2
7a2c06fd20319c3bd497f562e2de1041	2015-02-19	3	0	3
7a4ea850df6398831f329823eb0f660e	2018-08-02	1	0	NA
7a4ea850df6398831f329823eb0f660e	2016-09-13	2	0	1
7a93b6f47099635646c232983cc53f5b	2019-02-11	2	0	NA
7a93b6f47099635646c232983cc53f5b	2017-06-27	3	0	2
7aa7108596a2d58631db6eab3d9380c4	2019-09-26	3	0	NA
7aa7108596a2d58631db6eab3d9380c4	2017-01-02	3	0	3
7aa7108596a2d58631db6eab3d9380c4	2016-03-17	2	0	3
7aa7108596a2d58631db6eab3d9380c4	2015-03-10	3	0	2
7af169923548934cd27e700412da20fa	2015-02-26	1	0	NA
7af169923548934cd27e700412da20fa	2012-02-15	3	0	1
7aff9b753e4193e279e709f1f64b22e7	2016-01-26	0	0	NA
7aff9b753e4193e279e709f1f64b22e7	2014-04-29	1	0	0
7aff9b753e4193e279e709f1f64b22e7	2008-12-22	1	NA	1
7b312f68e7a7210726420b8db69b4046	2015-11-17	0	0	NA
7b312f68e7a7210726420b8db69b4046	2015-02-09	1	0	0
7bb6fafad51f527005a88b0c849cc25a	2016-11-07	1	0	NA
7bb6fafad51f527005a88b0c849cc25a	2013-10-22	2	0	1
7bdf92ac909ee9a3377b5a0b9abc901f	2018-06-18	3	0	NA
7bdf92ac909ee9a3377b5a0b9abc901f	2013-11-05	4	0	3
7becd4362a6ae3bb85841d4813241d15	2015-02-19	1	0	NA
7becd4362a6ae3bb85841d4813241d15	2014-03-15	2	0	1
7bf963085fd02dc35c1aa792cc51afc1	2011-10-19	1	1	NA
7bf963085fd02dc35c1aa792cc51afc1	2011-10-13	2	0	1
7c0bdad25dded036f293f5d23eb1956d	2019-05-02	1	0	NA
7c0bdad25dded036f293f5d23eb1956d	2014-01-14	2	0	1
7c144cf108d4226ed33b5d67d4793482	2018-09-04	0	0	NA
7c144cf108d4226ed33b5d67d4793482	2018-03-01	1	0	0
7c17f283ed9b06a0925848195248c3c8	2017-05-22	1	0	NA
7c17f283ed9b06a0925848195248c3c8	2016-10-25	2	0	1
7c24663d219be11d7c2a617608ec5113	2019-03-21	0	0	NA
7c24663d219be11d7c2a617608ec5113	2018-07-24	2	0	0
7c24663d219be11d7c2a617608ec5113	2013-09-24	2	0	2
7c27302d62449278b37cc6d68728c8d6	2016-11-22	0	0	NA
7c27302d62449278b37cc6d68728c8d6	2012-03-22	3	0	0
7c40cfb8fe28b9482ec5467a3a577f7c	2013-07-30	3	0	NA
7c40cfb8fe28b9482ec5467a3a577f7c	2011-08-17	4	0	3
7c8ea5b114f59014a49f4aad194f670d	2019-10-08	3	0	NA
7c8ea5b114f59014a49f4aad194f670d	2017-09-07	4	0	3
7cb913f6fd959aace18df3fa0fa7079e	2019-05-08	2	0	NA
7cb913f6fd959aace18df3fa0fa7079e	2018-04-17	1	0	2
7cb913f6fd959aace18df3fa0fa7079e	2018-01-29	4	0	1
7cb913f6fd959aace18df3fa0fa7079e	2017-06-12	4	0	4
7cb913f6fd959aace18df3fa0fa7079e	2016-12-01	1	0	4
7cd64e7094153aba70b2e1356ab287ad	2018-10-10	1	0	NA
7cd64e7094153aba70b2e1356ab287ad	2016-11-28	3	0	1
7ceba07c7c7135b15df0e18d65cfda00	2018-12-19	0	0	NA
7ceba07c7c7135b15df0e18d65cfda00	2018-02-11	1	0	0
7ceba07c7c7135b15df0e18d65cfda00	2017-08-01	0	0	1
7cec463ba459d2cee53524bffae9d2c8	2015-09-29	0	0	NA
7cec463ba459d2cee53524bffae9d2c8	2013-06-07	1	0	0
7d0fe53a71dd5f71288f0e9dcd3eae5c	2019-04-15	4	0	NA
7d0fe53a71dd5f71288f0e9dcd3eae5c	2015-10-16	3	0	4
7d0fe53a71dd5f71288f0e9dcd3eae5c	2015-07-24	4	0	3
7d0fe53a71dd5f71288f0e9dcd3eae5c	2014-09-29	3	0	4
7d0fe53a71dd5f71288f0e9dcd3eae5c	2013-08-29	3	1	3
7d0fe53a71dd5f71288f0e9dcd3eae5c	2013-05-21	3	0	3
7d0fe53a71dd5f71288f0e9dcd3eae5c	2010-05-13	2	NA	3
7d352278770b2a49558100fff54ddfb2	2014-02-26	0	0	NA
7d352278770b2a49558100fff54ddfb2	2013-10-22	3	0	0
7d40d91045291a3ee5199f0bd793af84	2016-06-20	3	0	NA
7d40d91045291a3ee5199f0bd793af84	2015-04-20	4	0	3
7d40d91045291a3ee5199f0bd793af84	2013-10-28	0	0	4
7d457e0346bab56aaf2f645004d50301	2019-08-07	0	0	NA
7d457e0346bab56aaf2f645004d50301	2017-04-28	0	0	0
7d457e0346bab56aaf2f645004d50301	2011-08-05	2	2	0
7d99d497af25e1705e3b770e2e5a2899	2016-02-23	3	0	NA
7d99d497af25e1705e3b770e2e5a2899	2014-12-09	4	0	3
7d9a6c872808146dcfc4ef133af94ad3	2016-12-27	0	0	NA
7d9a6c872808146dcfc4ef133af94ad3	2016-06-07	2	0	0
7db8e58afd11c6d3eced4eff910fb373	2019-06-24	0	0	NA
7db8e58afd11c6d3eced4eff910fb373	2016-11-11	0	0	0
7db8e58afd11c6d3eced4eff910fb373	2014-08-04	5	0	0
7db8e58afd11c6d3eced4eff910fb373	2013-08-08	0	0	5
7dcbc366ad69b897736257a2b36c889f	2016-02-29	1	0	NA
7dcbc366ad69b897736257a2b36c889f	2015-10-19	2	0	1
7dcbc366ad69b897736257a2b36c889f	2013-06-26	2	0	2
7dce4702ad6404cd1ee4053791e36241	2013-03-23	2	0	NA
7dce4702ad6404cd1ee4053791e36241	2012-04-24	3	0	2
7dce4702ad6404cd1ee4053791e36241	2011-01-17	1	0	3
7ddbf0a1f33b91d1102feeee265f70b4	2013-09-26	3	0	NA
7ddbf0a1f33b91d1102feeee265f70b4	2012-10-08	3	0	3
7ddbf0a1f33b91d1102feeee265f70b4	2011-11-28	2	0	3
7ddbf0a1f33b91d1102feeee265f70b4	2010-05-10	3	NA	2
7ddbf0a1f33b91d1102feeee265f70b4	2009-03-24	3	NA	3
7de51b84469f092145dcb31813f1b94a	2014-03-25	2	0	NA
7de51b84469f092145dcb31813f1b94a	2013-06-07	3	0	2
7e2823c3c37ac91a0b228235d2029898	2019-02-19	1	0	NA
7e2823c3c37ac91a0b228235d2029898	2018-01-26	2	0	1
7e3fdade0516cdd1cf86905e4137a1c1	2011-08-03	3	3	NA
7e3fdade0516cdd1cf86905e4137a1c1	2010-05-06	4	NA	3
7e98a348d1d35bb8abcad309b5ce451c	2018-02-01	1	0	NA
7e98a348d1d35bb8abcad309b5ce451c	2017-08-08	2	0	1
7e99bf9ac1bac713f1e100e69ba67d0f	2015-02-19	2	0	NA
7e99bf9ac1bac713f1e100e69ba67d0f	2014-02-10	4	0	2
7ec13aef4742fa7c9dae5000cf166dee	2011-03-15	0	0	NA
7ec13aef4742fa7c9dae5000cf166dee	2011-01-14	1	0	0
7f056d646d8b09fded9c7de235d2418b	2016-06-28	9	0	NA
7f056d646d8b09fded9c7de235d2418b	2016-02-08	9	0	9
7f056d646d8b09fded9c7de235d2418b	2013-11-28	10	0	9
7f2f4d16ef1e42caaf1d484e0fec91fc	2012-05-16	0	0	NA
7f2f4d16ef1e42caaf1d484e0fec91fc	2011-03-24	1	1	0
7f3e357afac6b336a56376760a44b6e7	2019-09-27	1	0	NA
7f3e357afac6b336a56376760a44b6e7	2013-11-27	1	1	1
7f3e357afac6b336a56376760a44b6e7	2009-05-11	2	NA	1
7f41dc8949aabfd738f2c54f34707c4e	2018-07-02	0	0	NA
7f41dc8949aabfd738f2c54f34707c4e	2016-09-14	1	0	0
7f41dc8949aabfd738f2c54f34707c4e	2015-07-02	0	0	1
7fadfb14efe26875f3ad1f2a9974ce7d	2016-09-09	3	0	NA
7fadfb14efe26875f3ad1f2a9974ce7d	2014-06-02	4	1	3
7feb76f9ec7b34f0b2e8c5c52a56dced	2013-06-27	1	0	NA
7feb76f9ec7b34f0b2e8c5c52a56dced	2010-03-01	2	NA	1
800345380da0d8ab974e0591f1f22e4d	2019-08-19	3	0	NA
800345380da0d8ab974e0591f1f22e4d	2019-07-01	3	0	3
800345380da0d8ab974e0591f1f22e4d	2019-06-01	2	0	3
800345380da0d8ab974e0591f1f22e4d	2019-04-24	3	0	2
800345380da0d8ab974e0591f1f22e4d	2012-07-10	2	0	3
800345380da0d8ab974e0591f1f22e4d	2011-07-05	2	0	2
8018373ef97ff7fbb8d919ce9738e1ba	2019-07-22	0	0	NA
8018373ef97ff7fbb8d919ce9738e1ba	2018-05-16	1	0	0
809a8981d96c2d3ab10db573609e5989	2019-04-16	1	0	NA
809a8981d96c2d3ab10db573609e5989	2018-05-04	4	0	1
80a91d4f6f466d4365edae70ce4e0281	2018-01-02	1	0	NA
80a91d4f6f466d4365edae70ce4e0281	2017-09-27	2	0	1
80a91d4f6f466d4365edae70ce4e0281	2017-02-14	1	0	2
80d1a84e5b0d1cf9af8caa504ae02857	2015-11-11	3	0	NA
80d1a84e5b0d1cf9af8caa504ae02857	2015-01-30	3	0	3
80d1a84e5b0d1cf9af8caa504ae02857	2014-10-14	3	0	3
80d1a84e5b0d1cf9af8caa504ae02857	2012-09-06	4	0	3
80ff7ce3611b1244edde94498bef6f3f	2013-04-22	3	0	NA
80ff7ce3611b1244edde94498bef6f3f	2011-11-29	4	0	3
810e4e082b7b58ed58ab818bf410ec6a	2015-10-28	0	0	NA
810e4e082b7b58ed58ab818bf410ec6a	2012-11-26	1	0	0
810e4e082b7b58ed58ab818bf410ec6a	2011-01-24	1	0	1
8154e00b7b42f7336d7e9304b56042a3	2012-07-06	0	1	NA
8154e00b7b42f7336d7e9304b56042a3	2010-07-28	3	NA	0
8193789468933d000878b5cccbc7ca4a	2015-05-29	3	0	NA
8193789468933d000878b5cccbc7ca4a	2010-02-16	5	NA	3
81b8d2a69c7d64fb64f6b5fa1dfbe0b8	2018-11-07	2	0	NA
81b8d2a69c7d64fb64f6b5fa1dfbe0b8	2015-11-13	4	0	2
81e497e9e32fd1ad78dbc697a11cdcd1	2017-08-01	1	0	NA
81e497e9e32fd1ad78dbc697a11cdcd1	2017-07-03	17	0	1
81e497e9e32fd1ad78dbc697a11cdcd1	2016-08-31	1	0	17
81e497e9e32fd1ad78dbc697a11cdcd1	2016-01-22	1	0	1
81eff3c81775e38706fd595a75ba83eb	2017-06-08	3	0	NA
81eff3c81775e38706fd595a75ba83eb	2016-09-27	1	0	3
81eff3c81775e38706fd595a75ba83eb	2016-07-08	3	0	1
820e4b31289cc44ae8d145e78e7a3386	2019-02-01	3	0	NA
820e4b31289cc44ae8d145e78e7a3386	2011-11-28	4	0	3
82237e0916cc626d66fe66ac40138013	2019-03-01	1	0	NA
82237e0916cc626d66fe66ac40138013	2015-09-01	2	0	1
82237e0916cc626d66fe66ac40138013	2015-05-18	1	0	2
82237e0916cc626d66fe66ac40138013	2014-07-01	1	0	1
82a073e8721ef4e2be379ec3f30712b9	2014-03-10	3	0	NA
82a073e8721ef4e2be379ec3f30712b9	2014-02-11	4	0	3
82a073e8721ef4e2be379ec3f30712b9	2010-11-03	3	NA	4
82a073e8721ef4e2be379ec3f30712b9	2010-09-02	3	NA	3
8326f39cc5de24d7e937f91d7501a4a5	2016-04-22	0	0	NA
8326f39cc5de24d7e937f91d7501a4a5	2013-02-12	3	0	0
8326f39cc5de24d7e937f91d7501a4a5	2011-07-01	3	0	3
8353b7075a1bdd3df85de742ae73cc93	2012-05-10	4	0	NA
8353b7075a1bdd3df85de742ae73cc93	2011-02-17	5	0	4
8364d5e783d524be068e8471052752f4	2018-02-08	2	0	NA
8364d5e783d524be068e8471052752f4	2014-03-07	3	0	2
83688c78326308b792a33cf48cf044de	2015-04-01	2	0	NA
83688c78326308b792a33cf48cf044de	2015-01-02	1	0	2
83688c78326308b792a33cf48cf044de	2011-10-18	2	0	1
839d65af7f1fc8b0a17965e4f8723add	2018-05-21	1	0	NA
839d65af7f1fc8b0a17965e4f8723add	2018-03-27	35	0	1
839d65af7f1fc8b0a17965e4f8723add	2018-03-19	1	0	35
83c6a6ec0969ee96907ff8c3cefc34ec	2015-06-04	0	0	NA
83c6a6ec0969ee96907ff8c3cefc34ec	2011-01-04	1	0	0
83ff93402233e8cdc99386ed62dba784	2015-09-09	1	0	NA
83ff93402233e8cdc99386ed62dba784	2015-01-07	2	0	1
84331b1dbccfecb202d9ae5be262b47a	2017-04-12	0	0	NA
84331b1dbccfecb202d9ae5be262b47a	2016-12-06	1	0	0
8477e493dda33530465ab81967a15ccb	2019-10-01	3	0	NA
8477e493dda33530465ab81967a15ccb	2019-01-15	4	0	3
8479e164f26f03d420dbd532a5d03bb6	2015-08-31	0	0	NA
8479e164f26f03d420dbd532a5d03bb6	2013-05-22	2	0	0
8484a8ac672070864c9db477276e27a8	2017-09-08	2	0	NA
8484a8ac672070864c9db477276e27a8	2017-04-06	3	0	2
848c68b82ead378e008e4030c182eee1	2019-07-30	0	0	NA
848c68b82ead378e008e4030c182eee1	2018-02-19	3	0	0
848c68b82ead378e008e4030c182eee1	2014-07-21	0	0	3
848c68b82ead378e008e4030c182eee1	2013-07-01	0	1	0
8497f33023fa3bb428ff5f5d03bba1e1	2017-03-07	3	0	NA
8497f33023fa3bb428ff5f5d03bba1e1	2011-10-18	4	0	3
84b6d987f0fd5930046c9bcc7ae7259d	2014-02-18	0	0	NA
84b6d987f0fd5930046c9bcc7ae7259d	2013-03-18	2	0	0
84ecdcadee6777d39f1a5ba7b188a922	2014-10-10	2	0	NA
84ecdcadee6777d39f1a5ba7b188a922	2013-04-22	3	0	2
850e8e34f78e4b5f5b6a43a6f9d7746f	2014-02-03	0	0	NA
850e8e34f78e4b5f5b6a43a6f9d7746f	2012-12-11	2	0	0
8510402f218574378f0812baa0050aab	2018-07-18	2	0	NA
8510402f218574378f0812baa0050aab	2018-04-10	3	0	2
853e9e2aca3aee9ff21aeb379bee74f7	2019-08-26	0	0	NA
853e9e2aca3aee9ff21aeb379bee74f7	2013-01-18	2	0	0
8543e9878f5f0f83b0289c752b38eb77	2016-12-31	1	0	NA
8543e9878f5f0f83b0289c752b38eb77	2016-05-25	1	0	1
8543e9878f5f0f83b0289c752b38eb77	2016-02-24	2	0	1
85be0c1c012681f21d4da017a2681ed6	2019-05-20	1	1	NA
85be0c1c012681f21d4da017a2681ed6	2019-04-01	0	0	1
85be0c1c012681f21d4da017a2681ed6	2016-03-31	1	0	0
85d1c805f1a577ceef6bdb3c2de45406	2014-06-19	4	0	NA
85d1c805f1a577ceef6bdb3c2de45406	2013-12-09	4	0	4
85d1c805f1a577ceef6bdb3c2de45406	2012-11-30	5	0	4
85d1c805f1a577ceef6bdb3c2de45406	2012-09-11	4	0	5
85dc40180ab0d51c75d80792943fd50d	2014-07-08	1	0	NA
85dc40180ab0d51c75d80792943fd50d	2013-05-02	0	0	1
85dc40180ab0d51c75d80792943fd50d	2012-04-02	1	0	0
85e0616f76ff43367a5ed8db3af2b29a	2015-01-28	5	0	NA
85e0616f76ff43367a5ed8db3af2b29a	2012-12-21	6	0	5
86256a26db7d64f043ebc408df0e1cdb	2019-01-18	3	0	NA
86256a26db7d64f043ebc408df0e1cdb	2018-01-05	4	0	3
865aa45ddd2350651c637615d408a4e5	2018-10-02	1	0	NA
865aa45ddd2350651c637615d408a4e5	2018-06-27	0	0	1
865aa45ddd2350651c637615d408a4e5	2016-09-07	1	0	0
865aa45ddd2350651c637615d408a4e5	2016-07-19	1	0	1
865aa45ddd2350651c637615d408a4e5	2014-03-19	1	0	1
86d051c9484d81636ebc67ec696b5b2a	2015-02-25	2	0	NA
86d051c9484d81636ebc67ec696b5b2a	2014-05-19	3	0	2
86d1441681f3a2f3ac26b946989262f6	2014-09-25	0	0	NA
86d1441681f3a2f3ac26b946989262f6	2013-05-15	1	0	0
86e4d0f3d97cfac75d67a28dd33bf8f9	2016-11-08	2	0	NA
86e4d0f3d97cfac75d67a28dd33bf8f9	2015-08-24	3	0	2
86eb6e2b5ca1abd7153a9e992edca2ed	2012-02-20	1	0	NA
86eb6e2b5ca1abd7153a9e992edca2ed	2010-11-11	2	NA	1
870029a4eb67ef62ca8c31f6be186ef6	2018-11-13	1	0	NA
870029a4eb67ef62ca8c31f6be186ef6	2016-09-28	3	0	1
870046a835ade22a10bef1142d3a6cb7	2019-01-23	2	0	NA
870046a835ade22a10bef1142d3a6cb7	2015-01-27	0	0	2
870046a835ade22a10bef1142d3a6cb7	2014-01-13	1	0	0
87260faba8ebfa7a3d649dc42dda0880	2013-05-06	2	0	NA
87260faba8ebfa7a3d649dc42dda0880	2010-10-06	3	NA	2
87316a008a45afd7aadb2b940c09dc35	2015-09-11	0	0	NA
87316a008a45afd7aadb2b940c09dc35	2014-10-20	1	0	0
875b76e61840e639afcb1398d9782163	2016-07-11	0	0	NA
875b76e61840e639afcb1398d9782163	2015-06-23	1	0	0
878a4e5393f76d746498fbb1d43e107c	2018-03-01	2	0	NA
878a4e5393f76d746498fbb1d43e107c	2016-04-02	3	0	2
878a4e5393f76d746498fbb1d43e107c	2015-10-30	3	0	3
87b49abcfe6d9ed73afe038a04401497	2016-07-29	3	0	NA
87b49abcfe6d9ed73afe038a04401497	2014-05-08	5	0	3
87bf905795cb97208ee2dadb92173386	2019-05-07	0	0	NA
87bf905795cb97208ee2dadb92173386	2013-10-02	2	0	0
87c0bebb8eed69b22ee0bbf1c36c0935	2019-07-30	0	0	NA
87c0bebb8eed69b22ee0bbf1c36c0935	2019-01-08	0	0	0
87c0bebb8eed69b22ee0bbf1c36c0935	2018-07-12	1	0	0
881f435c51122dfcab3037bd02e57f6e	2016-11-08	3	0	NA
881f435c51122dfcab3037bd02e57f6e	2016-05-20	2	0	3
881f435c51122dfcab3037bd02e57f6e	2011-09-29	3	0	2
883000654222504b70922e5c407d726d	2017-08-30	1	0	NA
883000654222504b70922e5c407d726d	2015-12-17	2	0	1
883000654222504b70922e5c407d726d	2013-03-08	2	0	2
8852bd1e5884a980edd8fa8ed12a83e4	2019-02-22	4	0	NA
8852bd1e5884a980edd8fa8ed12a83e4	2013-10-17	2	0	4
8852bd1e5884a980edd8fa8ed12a83e4	2011-10-13	3	0	2
8866e3cb47dc30a780dd0a0116ac86dd	2018-04-16	2	0	NA
8866e3cb47dc30a780dd0a0116ac86dd	2017-03-06	2	0	2
8866e3cb47dc30a780dd0a0116ac86dd	2016-08-22	2	0	2
8866e3cb47dc30a780dd0a0116ac86dd	2015-07-07	3	0	2
88f9836e9d353612fc472d9306ab66ec	2017-01-03	4	0	NA
88f9836e9d353612fc472d9306ab66ec	2014-08-13	5	0	4
89039800fec59a868f97a4f1e4e8ae4f	2018-10-04	1	0	NA
89039800fec59a868f97a4f1e4e8ae4f	2017-10-18	2	0	1
89039800fec59a868f97a4f1e4e8ae4f	2015-06-01	1	0	2
8918cdf1248d5edc5ff48d909fe77d46	2019-09-05	1	0	NA
8918cdf1248d5edc5ff48d909fe77d46	2015-10-22	5	0	1
8918cdf1248d5edc5ff48d909fe77d46	2015-06-11	5	0	5
8918cdf1248d5edc5ff48d909fe77d46	2013-11-20	5	0	5
89330775e65bde866816f203ae2e069f	2013-07-15	1	0	NA
89330775e65bde866816f203ae2e069f	2013-05-24	2	0	1
894e0eb38c3d72be30e2f02055021326	2015-10-28	0	0	NA
894e0eb38c3d72be30e2f02055021326	2014-04-10	1	0	0
894e0eb38c3d72be30e2f02055021326	2013-10-15	1	0	1
895622f8ae2165802740cc95dfd7c601	2017-03-13	1	0	NA
895622f8ae2165802740cc95dfd7c601	2016-01-28	2	0	1
8986d5a0c48569dfe6b8e041b4ff9a73	2019-08-13	1	0	NA
8986d5a0c48569dfe6b8e041b4ff9a73	2019-07-01	0	0	1
8986d5a0c48569dfe6b8e041b4ff9a73	2015-10-26	1	0	0
8986d5a0c48569dfe6b8e041b4ff9a73	2015-09-02	1	0	1
89ce848de1d338a3155f002e6f32cc7f	2019-05-13	3	0	NA
89ce848de1d338a3155f002e6f32cc7f	2018-08-07	3	0	3
89ce848de1d338a3155f002e6f32cc7f	2016-07-06	4	0	3
89f1fe461b934d74e1e0decba1389bd0	2013-12-04	1	0	NA
89f1fe461b934d74e1e0decba1389bd0	2013-05-09	2	0	1
89f1fe461b934d74e1e0decba1389bd0	2010-05-27	2	0	2
89f9e928f1024280775f32c04011d16e	2019-01-03	1	0	NA
89f9e928f1024280775f32c04011d16e	2018-05-15	2	0	1
89f9e928f1024280775f32c04011d16e	2018-02-01	1	0	2
89f9e928f1024280775f32c04011d16e	2016-07-25	2	0	1
89f9e928f1024280775f32c04011d16e	2015-10-28	2	0	2
89f9e928f1024280775f32c04011d16e	2015-04-07	2	0	2
89f9e928f1024280775f32c04011d16e	2014-05-27	49	0	2
8a2343f0d31ae9a913547253fc1b834b	2016-12-01	1	0	NA
8a2343f0d31ae9a913547253fc1b834b	2011-05-10	2	0	1
8a3a95eb74a8402fc08b6b0f0b8b8e36	2014-07-01	1	0	NA
8a3a95eb74a8402fc08b6b0f0b8b8e36	2013-01-01	2	0	1
8a3a95eb74a8402fc08b6b0f0b8b8e36	2011-01-24	0	0	2
8a7fc37135a0565568c83a6c2b022dfe	2018-05-02	2	0	NA
8a7fc37135a0565568c83a6c2b022dfe	2015-07-31	3	0	2
8aaca219f703edb8180889af34c95af7	2016-12-01	3	0	NA
8aaca219f703edb8180889af34c95af7	2016-08-16	3	0	3
8aaca219f703edb8180889af34c95af7	2016-07-01	3	0	3
8aaca219f703edb8180889af34c95af7	2016-02-23	3	0	3
8aaca219f703edb8180889af34c95af7	2015-08-01	2	0	3
8aaca219f703edb8180889af34c95af7	2014-10-21	3	0	2
8aaca219f703edb8180889af34c95af7	2014-10-01	45	0	3
8aaca219f703edb8180889af34c95af7	2014-06-26	3	0	45
8aaca219f703edb8180889af34c95af7	2014-04-09	3	0	3
8aaca219f703edb8180889af34c95af7	2013-02-01	3	0	3
8ac169d1f4174b83516eb5669656d3c2	2013-02-11	4	0	NA
8ac169d1f4174b83516eb5669656d3c2	2011-02-01	0	0	4
8ac169d1f4174b83516eb5669656d3c2	2010-02-26	3	NA	0
8accab1ef8fd2b820ef4c0adbdd2d729	2019-09-05	0	0	NA
8accab1ef8fd2b820ef4c0adbdd2d729	2018-01-10	2	0	0
8accab1ef8fd2b820ef4c0adbdd2d729	2011-09-12	2	0	2
8ace604f95a6d0d4784acdf1dad8dfec	2015-07-28	2	0	NA
8ace604f95a6d0d4784acdf1dad8dfec	2015-05-12	3	0	2
8ae0360f85aa050fd6a8481a7d4109d2	2014-12-09	3	0	NA
8ae0360f85aa050fd6a8481a7d4109d2	2013-03-08	2	0	3
8ae0360f85aa050fd6a8481a7d4109d2	2012-08-16	3	0	2
8b3123c463211b298aacb910d6491e3c	2019-07-02	1	0	NA
8b3123c463211b298aacb910d6491e3c	2013-11-04	0	0	1
8b3123c463211b298aacb910d6491e3c	2012-01-16	1	1	0
8b3123c463211b298aacb910d6491e3c	2011-05-25	1	1	1
8b823868b8fd98119f9ba961a51861ab	2019-05-30	0	0	NA
8b823868b8fd98119f9ba961a51861ab	2015-03-03	2	0	0
8b939c5a0d211d894ad5636526e80134	2014-01-20	0	0	NA
8b939c5a0d211d894ad5636526e80134	2011-02-07	1	1	0
8b952dbabb0caa5f54e0f5c59b7b7b4b	2013-12-04	5	0	NA
8b952dbabb0caa5f54e0f5c59b7b7b4b	2012-05-16	3	0	5
8b952dbabb0caa5f54e0f5c59b7b7b4b	2011-04-04	5	0	3
8b952dbabb0caa5f54e0f5c59b7b7b4b	2009-11-02	4	NA	5
8b9ede9e8fda1c93f5864009a1e18767	2015-06-26	0	0	NA
8b9ede9e8fda1c93f5864009a1e18767	2013-06-26	1	0	0
8ba891d751f64fec51a1f6f4a9a1ee2d	2017-08-29	1	0	NA
8ba891d751f64fec51a1f6f4a9a1ee2d	2015-05-11	3	0	1
8c44a81c16ea1744de18b491a0b1b205	2019-07-01	0	0	NA
8c44a81c16ea1744de18b491a0b1b205	2018-06-05	1	0	0
8c44a81c16ea1744de18b491a0b1b205	2018-03-16	1	0	1
8c8d4301fc4aca9010d6ddf4a756171b	2013-02-20	1	0	NA
8c8d4301fc4aca9010d6ddf4a756171b	2011-05-16	2	0	1
8c8d4301fc4aca9010d6ddf4a756171b	2010-05-03	2	NA	2
8ca425a771ec934eca0881c9721c77d6	2013-09-10	2	0	NA
8ca425a771ec934eca0881c9721c77d6	2012-01-23	3	0	2
8cbb65d8499a8c1f138a3b84df0774e5	2018-10-26	0	0	NA
8cbb65d8499a8c1f138a3b84df0774e5	2014-01-30	2	0	0
8cddf85560032f55f2d3c67bc65042a2	2019-01-14	1	0	NA
8cddf85560032f55f2d3c67bc65042a2	2018-01-18	3	0	1
8ce296ee7fb3d41201519eb29dfe0b81	2019-06-20	2	0	NA
8ce296ee7fb3d41201519eb29dfe0b81	2015-01-09	3	0	2
8d00f5cf4b394eb2d6142217bb84bb27	2018-04-17	1	0	NA
8d00f5cf4b394eb2d6142217bb84bb27	2016-09-05	1	0	1
8d00f5cf4b394eb2d6142217bb84bb27	2014-07-17	2	0	1
8d00f5cf4b394eb2d6142217bb84bb27	2013-06-10	2	0	2
8d00f5cf4b394eb2d6142217bb84bb27	2011-03-10	2	0	2
8d3f3a85a5cce9f52fb691cff7edeb65	2018-10-08	3	0	NA
8d3f3a85a5cce9f52fb691cff7edeb65	2018-09-10	2	0	3
8d3f3a85a5cce9f52fb691cff7edeb65	2018-06-12	3	0	2
8d64f44345fac91cf3b35be11eba3461	2015-06-08	0	0	NA
8d64f44345fac91cf3b35be11eba3461	2015-01-22	2	0	0
8d6aaffd15ec37dd20b6aa2bfdddb592	2019-08-19	1	0	NA
8d6aaffd15ec37dd20b6aa2bfdddb592	2019-04-01	0	0	1
8d6aaffd15ec37dd20b6aa2bfdddb592	2013-06-26	1	0	0
8d6aaffd15ec37dd20b6aa2bfdddb592	2013-06-08	1	0	1
8da8f3c2c68f113344083dbdcd7d3887	2019-06-17	2	0	NA
8da8f3c2c68f113344083dbdcd7d3887	2019-01-16	0	0	2
8da8f3c2c68f113344083dbdcd7d3887	2009-12-07	2	NA	0
8de2c1bc7ccdef4eac2ae125ddc4489c	2013-02-18	0	0	NA
8de2c1bc7ccdef4eac2ae125ddc4489c	2012-05-25	1	0	0
8df628979a3ba1d6cf468d49a07446ee	2017-12-01	8	0	NA
8df628979a3ba1d6cf468d49a07446ee	2017-08-31	5	0	8
8df628979a3ba1d6cf468d49a07446ee	2017-07-25	8	0	5
8df89702954e050972efe9026d9b99c7	2010-08-24	4	NA	NA
8df89702954e050972efe9026d9b99c7	2010-04-13	3	NA	4
8df89702954e050972efe9026d9b99c7	2009-12-04	4	NA	3
8e1b8f52be1d59e1259cb98478447c5b	2014-09-04	0	0	NA
8e1b8f52be1d59e1259cb98478447c5b	2013-05-02	2	0	0
8e3769f0bde3ac83259fea9068a4326f	2014-03-05	2	0	NA
8e3769f0bde3ac83259fea9068a4326f	2012-10-01	4	0	2
8e3fb5cf5b17fa78576760982e7e5a21	2011-04-25	1	0	NA
8e3fb5cf5b17fa78576760982e7e5a21	2011-03-15	3	0	1
8e5281ff55f663f7f125e66b1eed5e30	2015-05-27	1	0	NA
8e5281ff55f663f7f125e66b1eed5e30	2012-12-07	2	0	1
8e63aeb97df2883119b6a38efa2f5ece	2016-03-16	1	0	NA
8e63aeb97df2883119b6a38efa2f5ece	2012-10-24	0	0	1
8e63aeb97df2883119b6a38efa2f5ece	2012-09-05	1	0	0
8e829fdf4e424b0330a502ea648be149	2016-04-04	1	0	NA
8e829fdf4e424b0330a502ea648be149	2015-01-26	0	0	1
8e829fdf4e424b0330a502ea648be149	2014-08-12	1	0	0
8e8629b27f854aff4f7a02790775f558	2017-07-11	6	0	NA
8e8629b27f854aff4f7a02790775f558	2012-02-22	7	1	6
8ec63933d91cfe240f49603fd00fdd66	2017-04-15	0	0	NA
8ec63933d91cfe240f49603fd00fdd66	2017-02-23	1	0	0
8ec80104efa614f27d43deb1ab6c36c8	2017-12-18	1	0	NA
8ec80104efa614f27d43deb1ab6c36c8	2014-02-10	5	5	1
8ec80104efa614f27d43deb1ab6c36c8	2013-02-05	3	0	5
8ec80104efa614f27d43deb1ab6c36c8	2012-10-02	2	1	3
8ec80104efa614f27d43deb1ab6c36c8	2012-06-07	3	0	2
8ec8bfb538ad143becb42d6ca38a6dad	2017-04-27	0	1	NA
8ec8bfb538ad143becb42d6ca38a6dad	2016-12-20	1	0	0
8f0d0f917a1783f4a684fa45fec0dd7b	2017-03-22	5	0	NA
8f0d0f917a1783f4a684fa45fec0dd7b	2016-06-08	3	0	5
8f0d0f917a1783f4a684fa45fec0dd7b	2015-06-01	5	0	3
8f2f277ad358ceae0f62d82d87f74bcd	2016-08-16	1	0	NA
8f2f277ad358ceae0f62d82d87f74bcd	2012-09-07	2	0	1
8f354ed21b55fd6e2918d26debc1b248	2019-05-27	4	0	NA
8f354ed21b55fd6e2918d26debc1b248	2019-02-12	3	0	4
8f354ed21b55fd6e2918d26debc1b248	2015-04-13	2	0	3
8f354ed21b55fd6e2918d26debc1b248	2014-12-02	0	0	2
8f354ed21b55fd6e2918d26debc1b248	2014-02-03	2	0	0
8f354ed21b55fd6e2918d26debc1b248	2012-07-30	1	0	2
8f43045383958711a203cb564dd9ab6a	2019-03-18	2	0	NA
8f43045383958711a203cb564dd9ab6a	2013-05-29	5	0	2
8f43045383958711a203cb564dd9ab6a	2012-04-23	5	0	5
8fa2c736db7cf823ca72f4ccd27937a6	2011-11-02	0	0	NA
8fa2c736db7cf823ca72f4ccd27937a6	2011-04-14	1	0	0
8ffd489553961a1dd83cda6ee0dc41ba	2017-06-05	4	0	NA
8ffd489553961a1dd83cda6ee0dc41ba	2013-02-28	5	0	4
90602bcd9e3b5d8c8ebd01868e272284	2018-09-01	0	0	NA
90602bcd9e3b5d8c8ebd01868e272284	2017-08-21	1	0	0
9063592bc035c9141478b7229a2bab1b	2019-07-08	2	0	NA
9063592bc035c9141478b7229a2bab1b	2018-10-05	4	0	2
90796a7ac2415d1c4a42a6d0c814ea9b	2018-04-26	1	0	NA
90796a7ac2415d1c4a42a6d0c814ea9b	2017-05-11	2	0	1
90796a7ac2415d1c4a42a6d0c814ea9b	2012-08-13	1	0	2
90c5d9af89683624bd05cc802f0456ab	2014-01-20	1	0	NA
90c5d9af89683624bd05cc802f0456ab	2013-02-14	3	0	1
90d6bfb5c910cf59ad722be7826106d4	2017-08-31	4	0	NA
90d6bfb5c910cf59ad722be7826106d4	2017-07-17	5	0	4
90df7f565c6c9ce8ed20ac7672a56fa5	2018-01-02	1	0	NA
90df7f565c6c9ce8ed20ac7672a56fa5	2017-11-28	1	0	1
90df7f565c6c9ce8ed20ac7672a56fa5	2015-12-15	2	0	1
910579823dca11a209c3fed7af813ca6	2016-05-27	1	0	NA
910579823dca11a209c3fed7af813ca6	2014-12-11	1	0	1
910579823dca11a209c3fed7af813ca6	2013-04-29	1	0	1
910579823dca11a209c3fed7af813ca6	2010-12-15	0	NA	1
910579823dca11a209c3fed7af813ca6	2010-10-06	1	NA	0
9132fab2ddc6c3a183038a8b050eafed	2011-11-09	1	1	NA
9132fab2ddc6c3a183038a8b050eafed	2009-12-29	2	NA	1
913f04c7f20f51e199c3282a4ffd72bd	2013-11-11	2	0	NA
913f04c7f20f51e199c3282a4ffd72bd	2010-03-22	4	NA	2
91471d88e463fcd212b47afe432deaea	2014-04-03	0	0	NA
91471d88e463fcd212b47afe432deaea	2011-02-01	3	0	0
918585bab671b70d6640f0ec4487b007	2019-01-03	1	0	NA
918585bab671b70d6640f0ec4487b007	2018-08-07	1	0	1
918585bab671b70d6640f0ec4487b007	2018-04-24	1	0	1
918585bab671b70d6640f0ec4487b007	2015-06-05	2	0	1
918585bab671b70d6640f0ec4487b007	2015-04-01	0	0	2
91aaafe5da17e777e7502416d1c971f1	2018-08-20	0	1	NA
91aaafe5da17e777e7502416d1c971f1	2017-08-22	4	0	0
91ab492ae4a7f06bd21bb0ce169a3666	2018-02-28	2	0	NA
91ab492ae4a7f06bd21bb0ce169a3666	2013-08-28	1	0	2
91ab492ae4a7f06bd21bb0ce169a3666	2010-09-21	2	NA	1
91e002bbb2aeb25dc53e14339645c2d7	2019-02-05	2	0	NA
91e002bbb2aeb25dc53e14339645c2d7	2018-06-25	1	0	2
91e002bbb2aeb25dc53e14339645c2d7	2017-07-25	0	0	1
91e002bbb2aeb25dc53e14339645c2d7	2014-06-04	1	0	0
91e002bbb2aeb25dc53e14339645c2d7	2012-07-05	0	0	1
91e002bbb2aeb25dc53e14339645c2d7	2011-03-28	1	0	0
91e55138a2504223ad84987d2e96f972	2018-09-10	2	0	NA
91e55138a2504223ad84987d2e96f972	2017-08-07	3	0	2
91e55138a2504223ad84987d2e96f972	2015-12-15	3	0	3
91f10b9f325f5fb498a1799a9d1fe7d5	2015-08-26	1	0	NA
91f10b9f325f5fb498a1799a9d1fe7d5	2009-09-03	2	NA	1
921595871a5e36cfbba2d116fe93a99b	2015-03-23	2	0	NA
921595871a5e36cfbba2d116fe93a99b	2014-03-03	3	0	2
921595871a5e36cfbba2d116fe93a99b	2013-09-12	3	0	3
921595871a5e36cfbba2d116fe93a99b	2013-03-15	3	0	3
921595871a5e36cfbba2d116fe93a99b	2012-06-06	3	0	3
921595871a5e36cfbba2d116fe93a99b	2009-11-26	3	NA	3
9233af719698b608be27bab93eb419ce	2019-10-11	3	0	NA
9233af719698b608be27bab93eb419ce	2015-08-20	1	0	3
9233af719698b608be27bab93eb419ce	2013-06-25	3	1	1
9233af719698b608be27bab93eb419ce	2010-05-05	2	NA	3
9233af719698b608be27bab93eb419ce	2009-11-13	2	NA	2
924246ee38997f4823107fb29dfd7dfd	2019-04-16	0	0	NA
924246ee38997f4823107fb29dfd7dfd	2016-08-27	1	0	0
924246ee38997f4823107fb29dfd7dfd	2014-10-20	1	0	1
92516765933e9069613fa8970b70f50f	2015-04-08	0	0	NA
92516765933e9069613fa8970b70f50f	2013-11-20	1	0	0
9251fe0ee5331d909de40fba79042e35	2015-02-02	0	0	NA
9251fe0ee5331d909de40fba79042e35	2014-09-06	1	0	0
9294f4cddc12f3ff3ad4ac178536fdd1	2017-11-21	1	0	NA
9294f4cddc12f3ff3ad4ac178536fdd1	2016-06-01	2	0	1
9294f4cddc12f3ff3ad4ac178536fdd1	2011-10-19	1	0	2
92be975c8fc98a4df12f19255af92905	2010-03-16	2	NA	NA
92be975c8fc98a4df12f19255af92905	2010-02-10	4	NA	2
92beb6d4ab8c563ae94551943e554552	2019-10-11	0	0	NA
92beb6d4ab8c563ae94551943e554552	2019-05-29	1	0	0
92fcfed6848203b76424727dcb3cff26	2017-10-10	0	0	NA
92fcfed6848203b76424727dcb3cff26	2017-04-17	1	1	0
930e6b511e115b95be2a7c19cbd01b1c	2015-12-01	1	0	NA
930e6b511e115b95be2a7c19cbd01b1c	2013-11-26	2	0	1
9310d9dbf4d462fef0b2db6946debf1a	2017-07-03	3	0	NA
9310d9dbf4d462fef0b2db6946debf1a	2014-06-01	4	4	3
9310d9dbf4d462fef0b2db6946debf1a	2012-01-02	3	0	4
9310d9dbf4d462fef0b2db6946debf1a	2011-06-21	3	0	3
9335334ab152493592f7eddee54a46d1	2019-01-07	3	0	NA
9335334ab152493592f7eddee54a46d1	2016-07-01	2	0	3
9335334ab152493592f7eddee54a46d1	2014-08-01	3	0	2
934c355eeb9ca45fb4f40190d05da7a7	2013-10-22	0	0	NA
934c355eeb9ca45fb4f40190d05da7a7	2011-02-25	1	0	0
93990b3bb3f2258ebcdf091a3f853fb7	2015-08-14	0	0	NA
93990b3bb3f2258ebcdf091a3f853fb7	2014-01-31	1	0	0
93990b3bb3f2258ebcdf091a3f853fb7	2012-08-17	1	0	1
93c7a1392d848ee518cd289351b93c13	2019-07-01	0	0	NA
93c7a1392d848ee518cd289351b93c13	2018-03-27	4	0	0
93c7a1392d848ee518cd289351b93c13	2018-02-19	4	0	4
93c7a1392d848ee518cd289351b93c13	2014-04-15	4	0	4
93c7a1392d848ee518cd289351b93c13	2012-03-20	4	1	4
93e0e0e6d85ed5c971c0a870d58db51c	2019-08-12	0	0	NA
93e0e0e6d85ed5c971c0a870d58db51c	2019-01-14	0	0	0
93e0e0e6d85ed5c971c0a870d58db51c	2017-07-14	2	0	0
93e9cb2b3363202cfc6fa894bc9950ea	2017-11-09	2	0	NA
93e9cb2b3363202cfc6fa894bc9950ea	2017-05-08	3	0	2
93eb52799a6e2f26d561432751b26390	2017-10-30	2	0	NA
93eb52799a6e2f26d561432751b26390	2011-08-03	3	0	2
93eb52799a6e2f26d561432751b26390	2010-06-16	3	NA	3
9405f95c560a89d711eee229fdd06166	2016-05-27	2	0	NA
9405f95c560a89d711eee229fdd06166	2014-07-21	3	0	2
946fba6ff50b5aa751e4c181f3fee4bf	2017-07-04	0	0	NA
946fba6ff50b5aa751e4c181f3fee4bf	2017-05-03	2	0	0
946fba6ff50b5aa751e4c181f3fee4bf	2016-04-06	2	0	2
94b30ff821cbf902a54ff66a9ca9ac21	2019-01-23	0	0	NA
94b30ff821cbf902a54ff66a9ca9ac21	2014-04-09	2	0	0
9527c854ed25a8acba68687fbaf192e7	2019-04-30	0	0	NA
9527c854ed25a8acba68687fbaf192e7	2017-04-17	1	0	0
954bec2ee088c12db31904b363e78a98	2013-09-10	1	0	NA
954bec2ee088c12db31904b363e78a98	2013-02-04	2	0	1
954ec907f2b3f739c59bac978c8b5128	2018-02-07	2	0	NA
954ec907f2b3f739c59bac978c8b5128	2017-03-06	4	0	2
954ec907f2b3f739c59bac978c8b5128	2016-11-03	2	0	4
954ec907f2b3f739c59bac978c8b5128	2015-01-22	2	0	2
954f1bd000f1e304000b68980eaeac2d	2018-07-13	2	0	NA
954f1bd000f1e304000b68980eaeac2d	2012-09-27	4	0	2
95643a4cba2e1ef21c849c129b2443a5	2019-03-08	0	0	NA
95643a4cba2e1ef21c849c129b2443a5	2013-05-23	2	0	0
957922de114e4dca0cb741b8a7471ddc	2015-12-01	2	0	NA
957922de114e4dca0cb741b8a7471ddc	2015-06-01	1	0	2
957922de114e4dca0cb741b8a7471ddc	2015-03-25	1	0	1
957922de114e4dca0cb741b8a7471ddc	2014-12-15	1	0	1
957922de114e4dca0cb741b8a7471ddc	2014-11-05	1	1	1
957922de114e4dca0cb741b8a7471ddc	2014-09-11	0	1	1
957922de114e4dca0cb741b8a7471ddc	2011-04-25	1	0	0
957eab5842b313b5394d7e3bbb074747	2015-02-19	0	0	NA
957eab5842b313b5394d7e3bbb074747	2013-11-05	1	0	0
95820b6976ef9f8926f62f94112ab72d	2016-01-02	3	0	NA
95820b6976ef9f8926f62f94112ab72d	2015-02-18	6	0	3
95857f79770d65d33c2bf78ad07b8aaa	2015-12-15	3	0	NA
95857f79770d65d33c2bf78ad07b8aaa	2011-05-19	4	3	3
95b5b75692ec6b19ae8de490b05d309e	2017-03-28	1	0	NA
95b5b75692ec6b19ae8de490b05d309e	2016-10-14	2	0	1
95b5b75692ec6b19ae8de490b05d309e	2016-03-04	2	0	2
95b5b75692ec6b19ae8de490b05d309e	2015-04-06	3	0	2
95b5b75692ec6b19ae8de490b05d309e	2014-04-29	2	0	3
95b5b75692ec6b19ae8de490b05d309e	2013-07-15	2	0	2
95c334d21a115b8897502d05c89f1645	2017-05-30	0	0	NA
95c334d21a115b8897502d05c89f1645	2011-07-11	4	4	0
95cd54f01278e20a1cf335c9a1c38089	2018-07-19	1	0	NA
95cd54f01278e20a1cf335c9a1c38089	2018-04-20	2	0	1
95fb90a5c07495a3083392a0dfe69f57	2017-05-08	1	0	NA
95fb90a5c07495a3083392a0dfe69f57	2015-10-19	2	0	1
95fb90a5c07495a3083392a0dfe69f57	2014-04-25	3	0	2
96151276b9b555c5fb8b901e4c4fbc78	2015-01-12	0	3	NA
96151276b9b555c5fb8b901e4c4fbc78	2014-08-05	1	0	0
9657d45d5011c420d93d8f391d706f85	2011-02-07	1	0	NA
9657d45d5011c420d93d8f391d706f85	2011-01-04	12	0	1
96827e2f0d8aebac3fae51df94395a76	2018-08-20	6	1	NA
96827e2f0d8aebac3fae51df94395a76	2014-03-14	2	0	6
96827e2f0d8aebac3fae51df94395a76	2013-12-03	6	1	2
96827e2f0d8aebac3fae51df94395a76	2012-04-25	6	0	6
96a978b842bc729cb4d82513977a1c79	2017-07-29	2	0	NA
96a978b842bc729cb4d82513977a1c79	2014-06-19	3	0	2
96b647e365444e9be2aaffc097fa4780	2017-01-17	2	0	NA
96b647e365444e9be2aaffc097fa4780	2016-12-31	3	0	2
96b647e365444e9be2aaffc097fa4780	2016-10-29	3	0	3
96b647e365444e9be2aaffc097fa4780	2016-07-08	3	0	3
9717a5a21c7722ab9cb44a9765256fe9	2018-05-17	0	0	NA
9717a5a21c7722ab9cb44a9765256fe9	2018-03-20	1	0	0
9717a5a21c7722ab9cb44a9765256fe9	2016-05-02	1	0	1
972c4cbb58f8b338366a8e3396cfd99b	2015-09-01	2	0	NA
972c4cbb58f8b338366a8e3396cfd99b	2015-02-05	3	0	2
972c4cbb58f8b338366a8e3396cfd99b	2014-08-06	2	0	3
972c4cbb58f8b338366a8e3396cfd99b	2014-04-01	3	0	2
977a8f5f2294579e0f94fa1a59d07d7d	2016-03-11	0	0	NA
977a8f5f2294579e0f94fa1a59d07d7d	2015-07-13	0	0	0
977a8f5f2294579e0f94fa1a59d07d7d	2015-06-01	45	0	0
977a8f5f2294579e0f94fa1a59d07d7d	2011-10-13	0	0	45
97d8828665a8e69b095f7e4fcfff8a28	2017-09-29	2	0	NA
97d8828665a8e69b095f7e4fcfff8a28	2017-04-20	0	0	2
97d8828665a8e69b095f7e4fcfff8a28	2016-12-01	2	0	0
97d8828665a8e69b095f7e4fcfff8a28	2013-12-03	2	0	2
97d8828665a8e69b095f7e4fcfff8a28	2012-05-30	1	0	2
97f9da9b028003b157be6aac33a12bb2	2019-10-09	6	0	NA
97f9da9b028003b157be6aac33a12bb2	2018-02-01	10	0	6
97f9da9b028003b157be6aac33a12bb2	2016-04-19	8	0	10
97f9da9b028003b157be6aac33a12bb2	2015-07-29	8	0	8
984bab086eb1b2a504496b3b16ea0421	2015-11-10	1	0	NA
984bab086eb1b2a504496b3b16ea0421	2010-04-01	3	NA	1
98901af823b8c08de7bdb88aa7eae86d	2019-06-14	1	0	NA
98901af823b8c08de7bdb88aa7eae86d	2010-10-08	2	NA	1
989ac148d01321c4d1150670548d4b0b	2019-05-23	1	0	NA
989ac148d01321c4d1150670548d4b0b	2018-01-26	2	0	1
98aa09512bbd9367b5a3fa1d1de7e9a0	2019-09-06	5	0	NA
98aa09512bbd9367b5a3fa1d1de7e9a0	2019-05-01	8	0	5
98aa09512bbd9367b5a3fa1d1de7e9a0	2010-10-14	3	NA	8
98aec46b04017f321f6c7bf57ddd1a48	2017-02-07	2	0	NA
98aec46b04017f321f6c7bf57ddd1a48	2015-10-01	1	0	2
98aec46b04017f321f6c7bf57ddd1a48	2015-06-30	1	0	1
98aec46b04017f321f6c7bf57ddd1a48	2013-04-22	2	0	1
98aec46b04017f321f6c7bf57ddd1a48	2010-06-15	1	NA	2
98bc3d360e6ba61b1b09e6055482ced4	2016-06-20	3	0	NA
98bc3d360e6ba61b1b09e6055482ced4	2013-03-18	4	0	3
98bc3d360e6ba61b1b09e6055482ced4	2012-11-30	4	0	4
98d17403dda19ce5ba9765bb5eb1f3dc	2015-10-16	1	0	NA
98d17403dda19ce5ba9765bb5eb1f3dc	2013-04-23	2	0	1
98f131d11f7a559fed3ff281a55995b5	2013-08-06	1	0	NA
98f131d11f7a559fed3ff281a55995b5	2013-01-08	2	0	1
98fb0ff6482e2ceffa17150626d39986	2018-04-09	2	0	NA
98fb0ff6482e2ceffa17150626d39986	2017-04-21	2	0	2
98fb0ff6482e2ceffa17150626d39986	2016-09-13	0	0	2
98fb0ff6482e2ceffa17150626d39986	2015-06-01	3	0	0
99302cff83a8abce3a2dea1b343c9019	2015-09-29	0	0	NA
99302cff83a8abce3a2dea1b343c9019	2015-01-28	1	0	0
99306117923b74498809a81756066412	2011-10-04	1	0	NA
99306117923b74498809a81756066412	2009-01-21	2	NA	1
993601f688b7ba61cb02797dfdaad790	2012-09-06	1	0	NA
993601f688b7ba61cb02797dfdaad790	2012-08-22	2	0	1
993601f688b7ba61cb02797dfdaad790	2012-01-19	2	0	2
99a640bcb0b07e0a523ca54e0bcfdf9e	2017-07-13	0	0	NA
99a640bcb0b07e0a523ca54e0bcfdf9e	2013-12-02	1	0	0
99ba2f32983c7f9931e293aa24912aa3	2010-02-01	1	NA	NA
99ba2f32983c7f9931e293aa24912aa3	2009-03-11	2	NA	1
9a233b08ec5227fa11e709ab8ba11512	2015-04-20	4	0	NA
9a233b08ec5227fa11e709ab8ba11512	2014-12-01	5	0	4
9a233b08ec5227fa11e709ab8ba11512	2014-03-05	5	0	5
9a233b08ec5227fa11e709ab8ba11512	2013-04-11	6	0	5
9a2b2af68c6aea9f0ea6e257b92a3bd6	2018-11-21	0	0	NA
9a2b2af68c6aea9f0ea6e257b92a3bd6	2018-02-01	1	0	0
9a33f80d8bfd87e19927ea7aede4a636	2013-02-25	3	3	NA
9a33f80d8bfd87e19927ea7aede4a636	2012-12-03	1	0	3
9a33f80d8bfd87e19927ea7aede4a636	2012-01-09	3	0	1
9a33f80d8bfd87e19927ea7aede4a636	2010-09-07	2	NA	3
9a5f660d5d5fa0c4e69dd54df6d328cb	2017-05-29	5	0	NA
9a5f660d5d5fa0c4e69dd54df6d328cb	2016-07-01	3	0	5
9a5f660d5d5fa0c4e69dd54df6d328cb	2014-09-05	5	0	3
9aeea998bfb195467b9a9c44b72eabd6	2016-09-28	2	0	NA
9aeea998bfb195467b9a9c44b72eabd6	2016-05-14	1	0	2
9aeea998bfb195467b9a9c44b72eabd6	2013-01-23	3	0	1
9b2183a9b643930717061f5014edf0ab	2014-05-02	3	0	NA
9b2183a9b643930717061f5014edf0ab	2014-04-17	2	0	3
9b2183a9b643930717061f5014edf0ab	2012-11-19	3	0	2
9b2183a9b643930717061f5014edf0ab	2011-11-02	2	1	3
9b2183a9b643930717061f5014edf0ab	2011-01-20	2	0	2
9b2183a9b643930717061f5014edf0ab	2010-04-20	2	NA	2
9b5435ee01216ad66de9a2cc739ec483	2017-06-21	1	0	NA
9b5435ee01216ad66de9a2cc739ec483	2015-06-02	1	0	1
9b5435ee01216ad66de9a2cc739ec483	2014-04-21	2	0	1
9b85e07d8f0a00697cf282a41ed33afc	2017-07-29	7	0	NA
9b85e07d8f0a00697cf282a41ed33afc	2015-05-18	6	0	7
9b85e07d8f0a00697cf282a41ed33afc	2012-10-02	7	0	6
9b85e07d8f0a00697cf282a41ed33afc	2010-09-16	7	NA	7
9b9c9497f1029d62de20da8cc8935b8e	2018-08-24	0	0	NA
9b9c9497f1029d62de20da8cc8935b8e	2016-07-06	1	0	0
9ba120127a54ffaf8172ebb4dbf34f87	2015-08-03	0	0	NA
9ba120127a54ffaf8172ebb4dbf34f87	2015-05-04	0	0	0
9ba120127a54ffaf8172ebb4dbf34f87	2014-01-03	5	0	0
9bedd8b2496473f1138da6243184cf81	2015-11-06	0	0	NA
9bedd8b2496473f1138da6243184cf81	2009-06-16	1	NA	0
9bf82bd6c7ae01973df90c82cf1847c1	2013-01-17	1	0	NA
9bf82bd6c7ae01973df90c82cf1847c1	2012-07-03	1	0	1
9bf82bd6c7ae01973df90c82cf1847c1	2011-10-26	2	0	1
9c064abf949472c39d774c0aee469d63	2018-09-13	2	0	NA
9c064abf949472c39d774c0aee469d63	2015-08-12	3	0	2
9c6e0e117fd9fd3cc448217a3f9eac74	2017-08-03	3	0	NA
9c6e0e117fd9fd3cc448217a3f9eac74	2014-01-13	39	0	3
9c7b97ecacdf4142cfd3c92b76cf3166	2017-02-10	1	0	NA
9c7b97ecacdf4142cfd3c92b76cf3166	2015-11-11	2	0	1
9c7b97ecacdf4142cfd3c92b76cf3166	2014-04-08	2	0	2
9c8c20f97296e26f993338f76a025feb	2017-04-25	2	0	NA
9c8c20f97296e26f993338f76a025feb	2015-05-25	3	0	2
9ca92174069a027e499754209978f733	2019-10-10	1	0	NA
9ca92174069a027e499754209978f733	2019-01-02	0	0	1
9ca92174069a027e499754209978f733	2018-12-10	1	0	0
9ca98c35f648227af58d2e0b73436107	2016-02-04	2	0	NA
9ca98c35f648227af58d2e0b73436107	2013-12-26	3	0	2
9ca98c35f648227af58d2e0b73436107	2010-01-13	3	NA	3
9d4061423fc8d81cbf18f6e0cd3dcb28	2014-07-15	2	0	NA
9d4061423fc8d81cbf18f6e0cd3dcb28	2014-02-11	3	2	2
9d4061423fc8d81cbf18f6e0cd3dcb28	2012-07-18	2	3	3
9d469f572ca5bc07606d562f32d4e7f4	2019-05-06	3	0	NA
9d469f572ca5bc07606d562f32d4e7f4	2018-10-10	3	0	3
9d469f572ca5bc07606d562f32d4e7f4	2017-06-27	4	0	3
9d56dfa0b7c80bf64472707d54c41359	2017-04-24	2	0	NA
9d56dfa0b7c80bf64472707d54c41359	2015-11-03	1	0	2
9d56dfa0b7c80bf64472707d54c41359	2015-07-06	2	0	1
9d6fc13f39393d49b3fef4df862430d7	2019-09-11	1	0	NA
9d6fc13f39393d49b3fef4df862430d7	2018-06-29	2	0	1
9d6fc13f39393d49b3fef4df862430d7	2017-11-01	2	0	2
9d6fc13f39393d49b3fef4df862430d7	2016-05-02	1	0	2
9d6fc13f39393d49b3fef4df862430d7	2015-12-01	1	0	1
9d9091afde01d6705734f715c46a4537	2019-05-31	1	0	NA
9d9091afde01d6705734f715c46a4537	2014-06-05	2	0	1
9d9091afde01d6705734f715c46a4537	2011-11-15	3	0	2
9d9091afde01d6705734f715c46a4537	2010-08-30	3	0	3
9dc91912a19548f373e5bd6e2127c6a9	2018-02-01	1	0	NA
9dc91912a19548f373e5bd6e2127c6a9	2017-09-07	2	0	1
9ddbc72800d73cb5d33683520a3ba045	2016-01-15	1	0	NA
9ddbc72800d73cb5d33683520a3ba045	2015-11-25	2	0	1
9ddbc72800d73cb5d33683520a3ba045	2015-08-03	1	0	2
9ddbc72800d73cb5d33683520a3ba045	2015-02-23	1	0	1
9dde168d5bf2030f6b903cdd6093949d	2016-06-02	0	0	NA
9dde168d5bf2030f6b903cdd6093949d	2016-02-01	1	0	0
9de773eb50df49d89c524f283a4ce6e4	2015-11-27	0	0	NA
9de773eb50df49d89c524f283a4ce6e4	2012-06-04	2	0	0
9e06871d982546d078729e6154d285ba	2016-01-08	2	0	NA
9e06871d982546d078729e6154d285ba	2013-01-02	4	0	2
9e28246c51c32db72c366783de951f24	2015-08-21	4	0	NA
9e28246c51c32db72c366783de951f24	2015-06-10	3	0	4
9e28246c51c32db72c366783de951f24	2015-03-27	4	0	3
9e28246c51c32db72c366783de951f24	2014-06-02	4	0	4
9ee2f0b91f2149564e45e63601db35ce	2017-02-01	3	0	NA
9ee2f0b91f2149564e45e63601db35ce	2016-03-07	4	0	3
9ef4ea921c72b7936420a5e26e76ba1f	2018-12-05	1	0	NA
9ef4ea921c72b7936420a5e26e76ba1f	2017-05-19	2	0	1
9ef4ea921c72b7936420a5e26e76ba1f	2017-05-17	2	0	2
9ef4ea921c72b7936420a5e26e76ba1f	2014-07-08	2	0	2
9ef4ea921c72b7936420a5e26e76ba1f	2013-04-19	2	0	2
9f2fc19210f0023e7f42eee612334c22	2016-02-12	1	0	NA
9f2fc19210f0023e7f42eee612334c22	2015-05-04	3	0	1
9f2fc19210f0023e7f42eee612334c22	2014-10-20	1	0	3
9f39eb0b6de664304898515a8c1c0a9f	2019-05-16	1	0	NA
9f39eb0b6de664304898515a8c1c0a9f	2009-11-30	6	NA	1
9f4f437586c08cd1e4615d4745a68cd0	2014-05-19	3	0	NA
9f4f437586c08cd1e4615d4745a68cd0	2013-10-09	5	0	3
9f59ed209418c878422f029280c9f391	2017-09-20	1	0	NA
9f59ed209418c878422f029280c9f391	2017-04-06	0	0	1
9f59ed209418c878422f029280c9f391	2016-04-04	1	0	0
9f59ed209418c878422f029280c9f391	2015-04-01	1	0	1
9f89f9e8a13c3b8c925f0639f4f60054	2014-05-26	2	0	NA
9f89f9e8a13c3b8c925f0639f4f60054	2011-06-08	3	0	2
9fa9432fac3aa2d506c539c643445569	2017-07-24	3	0	NA
9fa9432fac3aa2d506c539c643445569	2011-11-22	4	0	3
9fc1c38827526ca4b19462726884b39a	2016-01-13	0	0	NA
9fc1c38827526ca4b19462726884b39a	2013-09-11	1	0	0
9fdf55ba668dd3799e2ba1f24d42933e	2019-04-30	2	0	NA
9fdf55ba668dd3799e2ba1f24d42933e	2018-03-21	3	0	2
9fdf55ba668dd3799e2ba1f24d42933e	2016-12-12	3	0	3
9fdf55ba668dd3799e2ba1f24d42933e	2016-03-31	3	0	3
9fdf55ba668dd3799e2ba1f24d42933e	2015-11-12	3	0	3
a0286e25a5da66a67e60689852d1b4e5	2016-01-05	0	0	NA
a0286e25a5da66a67e60689852d1b4e5	2015-09-14	2	0	0
a0419c2c71c97fc9eb9e69418db4a04d	2013-12-02	1	0	NA
a0419c2c71c97fc9eb9e69418db4a04d	2013-02-27	3	0	1
a08ba17f7294a4122a54bb1de17a2fb3	2015-03-05	0	0	NA
a08ba17f7294a4122a54bb1de17a2fb3	2014-07-03	1	0	0
a0c9a1d91c8ac042ce798660f5ab56aa	2017-10-23	0	0	NA
a0c9a1d91c8ac042ce798660f5ab56aa	2009-06-03	1	NA	0
a146656e83b7e46d11a87a7ce605b563	2014-12-29	2	0	NA
a146656e83b7e46d11a87a7ce605b563	2013-04-16	3	0	2
a1558717d19d32afa587fb5178e5d9cd	2014-06-18	2	0	NA
a1558717d19d32afa587fb5178e5d9cd	2013-11-12	3	0	2
a1558717d19d32afa587fb5178e5d9cd	2012-05-22	1	0	3
a16c51fe86e3377280f3962e8188b243	2018-10-22	2	0	NA
a16c51fe86e3377280f3962e8188b243	2018-09-03	3	0	2
a180b195169902996350c3e4bd86ebb0	2017-12-01	2	0	NA
a180b195169902996350c3e4bd86ebb0	2016-05-16	3	0	2
a1e3da51faf4e42dbbef17c17b26e808	2015-07-22	2	0	NA
a1e3da51faf4e42dbbef17c17b26e808	2012-09-25	1	0	2
a1e3da51faf4e42dbbef17c17b26e808	2012-09-03	2	0	1
a25e890f72e2728f2da6f313b39562b6	2018-04-03	2	0	NA
a25e890f72e2728f2da6f313b39562b6	2015-11-04	3	0	2
a25e890f72e2728f2da6f313b39562b6	2012-11-05	3	0	3
a26bc1d649a013cc36fb0f7fb6bf3b91	2019-10-02	4	0	NA
a26bc1d649a013cc36fb0f7fb6bf3b91	2011-05-30	2	0	4
a26bc1d649a013cc36fb0f7fb6bf3b91	2010-09-15	3	NA	2
a2913caf33340293f76c2771306bdf8f	2017-10-02	2	0	NA
a2913caf33340293f76c2771306bdf8f	2016-09-26	3	0	2
a2c66bc67f8b85473543b1c02de9290b	2016-09-09	2	0	NA
a2c66bc67f8b85473543b1c02de9290b	2015-11-11	3	1	2
a2c66bc67f8b85473543b1c02de9290b	2015-02-24	3	0	3
a2da30cc649d83ee8d4766c093409db2	2019-01-02	2	0	NA
a2da30cc649d83ee8d4766c093409db2	2014-08-25	0	0	2
a2da30cc649d83ee8d4766c093409db2	2010-03-22	2	NA	0
a2e7748220a286e20311fe35569b11a7	2019-09-23	3	0	NA
a2e7748220a286e20311fe35569b11a7	2017-10-31	1	0	3
a2e7748220a286e20311fe35569b11a7	2014-09-12	3	0	1
a2f05f0ff8b660a59dd763c47af426b8	2018-10-01	4	0	NA
a2f05f0ff8b660a59dd763c47af426b8	2016-10-26	4	0	4
a2f05f0ff8b660a59dd763c47af426b8	2015-10-29	3	0	4
a2f05f0ff8b660a59dd763c47af426b8	2013-08-14	4	0	3
a2f05f0ff8b660a59dd763c47af426b8	2010-09-03	3	NA	4
a2febefe4a783812991852e7d627bdb7	2014-04-01	1	0	NA
a2febefe4a783812991852e7d627bdb7	2011-07-01	4	0	1
a2febefe4a783812991852e7d627bdb7	2011-02-16	0	0	4
a3519a6bb049178a8bd2d676f5f663b4	2017-08-04	1	0	NA
a3519a6bb049178a8bd2d676f5f663b4	2014-10-08	3	0	1
a3519a6bb049178a8bd2d676f5f663b4	2010-04-16	2	NA	3
a36684088ac439bd725608b9ed5c8f85	2015-11-11	2	0	NA
a36684088ac439bd725608b9ed5c8f85	2013-05-02	2	0	2
a36684088ac439bd725608b9ed5c8f85	2013-02-04	3	0	2
a39b917647da4a1208ab9c78f43af3dd	2011-07-27	0	0	NA
a39b917647da4a1208ab9c78f43af3dd	2009-05-15	2	NA	0
a3ac5fff105e2606ae07bfe1a2187f38	2016-05-18	2	0	NA
a3ac5fff105e2606ae07bfe1a2187f38	2015-11-04	2	0	2
a3ac5fff105e2606ae07bfe1a2187f38	2015-02-17	3	0	2
a3be9d0833909973729c9b58f9d79d24	2019-04-01	1	0	NA
a3be9d0833909973729c9b58f9d79d24	2016-07-25	2	0	1
a3c4f527c38c46847c95af95ce9b5961	2018-06-06	1	0	NA
a3c4f527c38c46847c95af95ce9b5961	2017-07-07	2	0	1
a3e3718cd5057297dc1cccea2bfbc7ab	2015-08-28	1	0	NA
a3e3718cd5057297dc1cccea2bfbc7ab	2010-04-19	2	NA	1
a3f3e21072f823f54ed2f2bb5ecc269f	2016-08-03	2	0	NA
a3f3e21072f823f54ed2f2bb5ecc269f	2014-05-28	1	0	2
a3f3e21072f823f54ed2f2bb5ecc269f	2012-04-23	2	0	1
a3f933adfed44a7c012462a252534ca0	2017-11-14	4	0	NA
a3f933adfed44a7c012462a252534ca0	2017-02-20	4	0	4
a3f933adfed44a7c012462a252534ca0	2017-01-18	4	0	4
a3f933adfed44a7c012462a252534ca0	2016-04-04	3	0	4
a3f933adfed44a7c012462a252534ca0	2013-08-19	4	0	3
a3f933adfed44a7c012462a252534ca0	2012-10-20	1	0	4
a41b9b3ef1ee82b091823ac9fee7b33a	2017-10-04	2	0	NA
a41b9b3ef1ee82b091823ac9fee7b33a	2012-09-28	3	0	2
a44810665f34d22663d5b2abab02b0e0	2016-04-21	2	0	NA
a44810665f34d22663d5b2abab02b0e0	2014-12-19	3	0	2
a47f95e459f1ed604f08b34259cce763	2019-02-19	1	0	NA
a47f95e459f1ed604f08b34259cce763	2017-10-16	2	0	1
a47f95e459f1ed604f08b34259cce763	2016-06-16	2	0	2
a47f95e459f1ed604f08b34259cce763	2011-03-09	2	0	2
a4df9ab17e09621ddb6c5d2e0bd2de69	2018-10-02	1	0	NA
a4df9ab17e09621ddb6c5d2e0bd2de69	2016-08-22	1	0	1
a4df9ab17e09621ddb6c5d2e0bd2de69	2015-03-16	1	0	1
a4df9ab17e09621ddb6c5d2e0bd2de69	2014-02-03	2	0	1
a530550882279a6da409d52f8b9a737c	2018-10-29	0	0	NA
a530550882279a6da409d52f8b9a737c	2011-02-22	1	0	0
a551cb4e0bea52b4aa4ca814a7af3b75	2016-10-18	2	0	NA
a551cb4e0bea52b4aa4ca814a7af3b75	2016-04-01	2	0	2
a551cb4e0bea52b4aa4ca814a7af3b75	2014-01-31	2	0	2
a551cb4e0bea52b4aa4ca814a7af3b75	2013-05-06	0	1	2
a551cb4e0bea52b4aa4ca814a7af3b75	2013-02-19	1	0	0
a551cb4e0bea52b4aa4ca814a7af3b75	2012-05-03	0	0	1
a575d6353262986785d6259ed5d5cb9c	2017-06-07	5	0	NA
a575d6353262986785d6259ed5d5cb9c	2015-07-06	5	0	5
a575d6353262986785d6259ed5d5cb9c	2013-03-15	5	0	5
a575d6353262986785d6259ed5d5cb9c	2013-01-03	2	0	5
a575d6353262986785d6259ed5d5cb9c	2012-11-05	4	0	2
a575d6353262986785d6259ed5d5cb9c	2011-12-15	5	0	4
a5794223b6f402f34b607bd68900ee83	2019-07-08	1	0	NA
a5794223b6f402f34b607bd68900ee83	2015-06-24	2	0	1
a5ca114827ab6fc4bb2dc931cf05270f	2018-07-02	3	0	NA
a5ca114827ab6fc4bb2dc931cf05270f	2016-03-09	3	0	3
a5ca114827ab6fc4bb2dc931cf05270f	2015-04-06	3	0	3
a5ca114827ab6fc4bb2dc931cf05270f	2012-09-25	2	0	3
a5ca114827ab6fc4bb2dc931cf05270f	2009-09-09	3	NA	2
a5f627f83b23dc11bc3d1b06818adeee	2013-09-26	1	0	NA
a5f627f83b23dc11bc3d1b06818adeee	2012-07-09	4	0	1
a618c99f64f45649f6c3d4a129329256	2017-04-10	1	0	NA
a618c99f64f45649f6c3d4a129329256	2013-05-31	0	1	1
a618c99f64f45649f6c3d4a129329256	2012-10-17	1	0	0
a62faf2c2b2b915713fc7a31a3bff3b2	2014-07-01	0	0	NA
a62faf2c2b2b915713fc7a31a3bff3b2	2013-01-23	2	0	0
a62faf2c2b2b915713fc7a31a3bff3b2	2012-11-20	0	0	2
a65e2d8c590daec908da64cfb0407f1d	2014-03-03	2	0	NA
a65e2d8c590daec908da64cfb0407f1d	2011-08-23	3	1	2
a66f6b684b8492ba9f1ee7bbe6f3f2be	2019-04-10	2	0	NA
a66f6b684b8492ba9f1ee7bbe6f3f2be	2015-07-27	3	0	2
a69fc14769ecdabb64c8e0c2b9def0fb	2017-03-28	2	0	NA
a69fc14769ecdabb64c8e0c2b9def0fb	2016-09-12	3	0	2
a6c65dc3c34b79618112f5913bdeaae6	2015-01-13	3	1	NA
a6c65dc3c34b79618112f5913bdeaae6	2014-06-25	4	0	3
a6d2a444220ef20a45414cf19e12c13e	2014-06-04	1	0	NA
a6d2a444220ef20a45414cf19e12c13e	2014-05-19	0	0	1
a6d2a444220ef20a45414cf19e12c13e	2012-05-04	1	0	0
a6e483e96d3d4ebdeaa0443285a03aa6	2013-08-06	5	0	NA
a6e483e96d3d4ebdeaa0443285a03aa6	2009-07-29	6	0	5
a6ef56c8701534b4df1a9ee8fbfc94a5	2018-02-07	0	0	NA
a6ef56c8701534b4df1a9ee8fbfc94a5	2012-12-04	2	0	0
a720fb1d7363289730887230f5b3d446	2017-12-22	1	0	NA
a720fb1d7363289730887230f5b3d446	2014-08-25	2	0	1
a7547279d635b4fae33849f18ea45dac	2015-06-18	1	0	NA
a7547279d635b4fae33849f18ea45dac	2015-01-12	1	0	1
a7547279d635b4fae33849f18ea45dac	2012-06-16	2	0	1
a7547279d635b4fae33849f18ea45dac	2010-11-03	2	0	2
a784fe3f23ce144370bfaed1714eef31	2017-11-06	3	0	NA
a784fe3f23ce144370bfaed1714eef31	2015-11-05	4	0	3
a799813bde4dff311a7ce03653405cfe	2015-10-07	0	0	NA
a799813bde4dff311a7ce03653405cfe	2012-04-05	1	1	0
a799813bde4dff311a7ce03653405cfe	2012-03-08	1	0	1
a799813bde4dff311a7ce03653405cfe	2011-10-20	1	0	1
a799813bde4dff311a7ce03653405cfe	2010-11-04	2	NA	1
a799813bde4dff311a7ce03653405cfe	2010-09-24	1	NA	2
a7c39ef99d5a2c76799fe38a0c98748e	2016-11-04	1	0	NA
a7c39ef99d5a2c76799fe38a0c98748e	2015-04-09	1	0	1
a7c39ef99d5a2c76799fe38a0c98748e	2013-09-30	1	0	1
a7c39ef99d5a2c76799fe38a0c98748e	2011-09-21	2	0	1
a7cb422628165edc634ade307a91540a	2015-04-06	1	0	NA
a7cb422628165edc634ade307a91540a	2010-06-07	2	NA	1
a7e042fb76023828501c24692ee98550	2019-05-27	4	0	NA
a7e042fb76023828501c24692ee98550	2018-03-07	5	0	4
a7e042fb76023828501c24692ee98550	2012-01-30	5	0	5
a826bb865c9c7c0e4fe4da8c688418a4	2019-10-15	1	0	NA
a826bb865c9c7c0e4fe4da8c688418a4	2019-03-05	1	0	1
a826bb865c9c7c0e4fe4da8c688418a4	2018-10-17	0	0	1
a826bb865c9c7c0e4fe4da8c688418a4	2018-05-02	1	0	0
a826bb865c9c7c0e4fe4da8c688418a4	2014-01-30	1	0	1
a864c3c826c8d168e040daced0d29a3e	2015-11-09	5	0	NA
a864c3c826c8d168e040daced0d29a3e	2012-11-16	4	0	5
a864c3c826c8d168e040daced0d29a3e	2012-10-26	5	0	4
a870ce4ef5852ffb4fb836d75825a7d4	2019-09-05	0	0	NA
a870ce4ef5852ffb4fb836d75825a7d4	2014-08-14	3	0	0
a8e2fa334505f361be847b85c2c3030a	2014-12-15	0	1	NA
a8e2fa334505f361be847b85c2c3030a	2013-05-10	1	0	0
a8f15499edcaf90de24fe68ec30ec985	2014-08-13	0	0	NA
a8f15499edcaf90de24fe68ec30ec985	2011-09-21	1	1	0
a8f15499edcaf90de24fe68ec30ec985	2011-02-21	0	1	1
a90abfeec9c5c3cd3e608ff5eff01682	2017-09-22	0	0	NA
a90abfeec9c5c3cd3e608ff5eff01682	2017-04-05	1	0	0
a90abfeec9c5c3cd3e608ff5eff01682	2009-03-09	1	NA	1
a91acec915e273b521eca78a3b12625f	2018-02-09	3	0	NA
a91acec915e273b521eca78a3b12625f	2017-03-21	4	0	3
a91acec915e273b521eca78a3b12625f	2016-06-17	4	0	4
a91bfd0dd1f36245f1a1179dfbf996c3	2014-08-04	2	0	NA
a91bfd0dd1f36245f1a1179dfbf996c3	2013-07-23	3	0	2
a937a74328e3786aad10ed656541212b	2018-11-15	1	0	NA
a937a74328e3786aad10ed656541212b	2015-04-01	1	0	1
a937a74328e3786aad10ed656541212b	2012-11-19	4	0	1
a938d80242fe667c8754e86080a81849	2015-11-06	4	0	NA
a938d80242fe667c8754e86080a81849	2015-08-04	3	0	4
a938d80242fe667c8754e86080a81849	2013-08-01	4	1	3
a938d80242fe667c8754e86080a81849	2011-01-07	2	0	4
a9628a7fb60453a1f6c9a506409b8eb9	2019-05-23	2	0	NA
a9628a7fb60453a1f6c9a506409b8eb9	2019-04-01	2	0	2
a9628a7fb60453a1f6c9a506409b8eb9	2018-06-28	1	0	2
a9628a7fb60453a1f6c9a506409b8eb9	2016-04-25	2	0	1
a97198fee128104f0eff9cd7d3a95fe4	2018-04-02	3	0	NA
a97198fee128104f0eff9cd7d3a95fe4	2016-02-02	4	0	3
a9c847ed94fb091e3dbb66b1ad805201	2016-12-01	3	0	NA
a9c847ed94fb091e3dbb66b1ad805201	2013-04-18	5	0	3
aa0a2d8d5b657729eaedd5984662f5d2	2014-08-04	1	0	NA
aa0a2d8d5b657729eaedd5984662f5d2	2012-11-05	2	0	1
aa230eaa4a924cc9565d607179614548	2017-01-16	2	0	NA
aa230eaa4a924cc9565d607179614548	2016-07-27	2	0	2
aa230eaa4a924cc9565d607179614548	2015-10-14	2	0	2
aa230eaa4a924cc9565d607179614548	2015-08-31	2	0	2
aa230eaa4a924cc9565d607179614548	2014-02-06	1	0	2
aa230eaa4a924cc9565d607179614548	2012-08-09	0	0	1
aa230eaa4a924cc9565d607179614548	2009-07-20	1	NA	0
aa292146719cc76bea2786b6895da37a	2017-11-20	3	0	NA
aa292146719cc76bea2786b6895da37a	2017-09-06	4	0	3
aa292146719cc76bea2786b6895da37a	2017-01-16	4	0	4
aa292146719cc76bea2786b6895da37a	2015-10-09	4	0	4
aa292146719cc76bea2786b6895da37a	2015-05-20	3	0	4
aa292146719cc76bea2786b6895da37a	2014-03-19	4	0	3
aa3a0805d52f94317e2b06fb77d307a0	2017-05-17	4	0	NA
aa3a0805d52f94317e2b06fb77d307a0	2014-03-28	5	0	4
aa3a0805d52f94317e2b06fb77d307a0	2013-05-09	5	0	5
aa4a2817362c699689684b13bfa8e947	2019-06-20	1	0	NA
aa4a2817362c699689684b13bfa8e947	2015-06-30	2	0	1
aa4a2817362c699689684b13bfa8e947	2009-10-08	0	NA	2
aa5e33060f2237d0892e41600c64c13e	2018-02-28	2	0	NA
aa5e33060f2237d0892e41600c64c13e	2017-06-01	2	0	2
aa5e33060f2237d0892e41600c64c13e	2017-03-14	1	0	2
aa5e33060f2237d0892e41600c64c13e	2017-02-01	2	0	1
aa5e33060f2237d0892e41600c64c13e	2015-12-01	1	0	2
aa5e33060f2237d0892e41600c64c13e	2015-04-20	1	0	1
aa5e33060f2237d0892e41600c64c13e	2014-12-16	1	0	1
aa5e33060f2237d0892e41600c64c13e	2013-10-14	1	1	1
aa7d5768870180c187c4bd4abd42e576	2015-02-17	0	0	NA
aa7d5768870180c187c4bd4abd42e576	2011-03-08	1	0	0
aa8513296f742b912f3a4b0565907abc	2014-04-30	1	0	NA
aa8513296f742b912f3a4b0565907abc	2013-08-12	2	0	1
aaa255a7f17b12ec4bdfdd3d4bbc8c6f	2012-11-12	3	0	NA
aaa255a7f17b12ec4bdfdd3d4bbc8c6f	2012-02-02	3	0	3
aaa255a7f17b12ec4bdfdd3d4bbc8c6f	2012-01-17	2	0	3
aaa255a7f17b12ec4bdfdd3d4bbc8c6f	2011-08-24	3	0	2
aaa309d08c5a37f49c0eba843fc0f817	2017-09-26	1	0	NA
aaa309d08c5a37f49c0eba843fc0f817	2016-01-18	5	0	1
aaa309d08c5a37f49c0eba843fc0f817	2014-09-24	5	0	5
aaa309d08c5a37f49c0eba843fc0f817	2013-02-12	5	0	5
aaa309d08c5a37f49c0eba843fc0f817	2011-06-13	5	5	5
aab1b6d53e4c45e77bca1cc570668435	2018-11-26	2	0	NA
aab1b6d53e4c45e77bca1cc570668435	2018-09-27	3	0	2
aab1b6d53e4c45e77bca1cc570668435	2018-03-12	2	0	3
aab1b6d53e4c45e77bca1cc570668435	2016-05-23	2	0	2
aab9137100f67cf8d78e917bdac8673d	2017-08-28	1	0	NA
aab9137100f67cf8d78e917bdac8673d	2013-04-23	2	2	1
aaf8464caff192a205d2a39380fa4fd5	2017-10-18	1	0	NA
aaf8464caff192a205d2a39380fa4fd5	2015-03-17	2	0	1
ab224146c14016703dc6740885345e9e	2018-06-27	5	0	NA
ab224146c14016703dc6740885345e9e	2013-10-14	6	0	5
ab47ea4de57db8de1d946a7e32673c40	2016-07-05	0	0	NA
ab47ea4de57db8de1d946a7e32673c40	2016-02-04	1	0	0
ab47ea4de57db8de1d946a7e32673c40	2011-09-21	1	0	1
ab5b7477c8e50d15b2864c089575569b	2017-09-16	0	0	NA
ab5b7477c8e50d15b2864c089575569b	2017-07-26	1	0	0
ab7acfab2017eced69961f4a63fb4f5d	2015-12-14	2	0	NA
ab7acfab2017eced69961f4a63fb4f5d	2015-03-09	25	0	2
abba5d10c358cb389916076a77a906b0	2015-01-01	2	0	NA
abba5d10c358cb389916076a77a906b0	2014-02-26	2	0	2
abba5d10c358cb389916076a77a906b0	2013-10-24	2	0	2
abba5d10c358cb389916076a77a906b0	2012-10-10	4	0	2
abd2f17f5a66940312c568c0cf1fff31	2019-05-08	2	0	NA
abd2f17f5a66940312c568c0cf1fff31	2013-10-16	4	0	2
abd2f17f5a66940312c568c0cf1fff31	2012-01-27	4	0	4
abd53d137431322811bca47fe928c016	2019-05-31	2	0	NA
abd53d137431322811bca47fe928c016	2013-03-25	3	0	2
abfdcb2276b0464ce7b0bac6f48cfe90	2013-05-02	0	0	NA
abfdcb2276b0464ce7b0bac6f48cfe90	2009-06-10	3	NA	0
abfef81a169f6ead6d906a6573dc2388	2019-03-11	4	0	NA
abfef81a169f6ead6d906a6573dc2388	2018-04-02	7	0	4
ac0effaac48e4450df2fbb34322639b9	2017-09-11	3	0	NA
ac0effaac48e4450df2fbb34322639b9	2013-06-12	4	0	3
ac1e5b4e5e40862520c647af2220b8fa	2018-06-07	1	0	NA
ac1e5b4e5e40862520c647af2220b8fa	2009-01-05	2	NA	1
ac48f4c7bc03d3fc35e3262a5a48ba5d	2012-04-18	0	0	NA
ac48f4c7bc03d3fc35e3262a5a48ba5d	2009-11-12	2	NA	0
ac4fab799f4a926afce5816145d2ad65	2016-09-09	4	0	NA
ac4fab799f4a926afce5816145d2ad65	2015-05-28	2	0	4
ac4fab799f4a926afce5816145d2ad65	2015-02-10	4	0	2
ac51d47d2c722ae6af4ef5ce5852560d	2018-06-22	1	0	NA
ac51d47d2c722ae6af4ef5ce5852560d	2018-04-03	3	1	1
ac51d47d2c722ae6af4ef5ce5852560d	2018-02-01	3	0	3
ac5594e153a26c6e71f0d4e75cbdafdf	2016-11-07	3	0	NA
ac5594e153a26c6e71f0d4e75cbdafdf	2016-05-18	4	0	3
ac5594e153a26c6e71f0d4e75cbdafdf	2015-08-13	2	0	4
ac7cfaee23913ba162502a3ad8479698	2012-02-01	1	0	NA
ac7cfaee23913ba162502a3ad8479698	2011-02-07	3	1	1
ac7cfaee23913ba162502a3ad8479698	2010-09-04	3	NA	3
ac90c7062b48871f201a01333b0a405e	2014-03-05	1	0	NA
ac90c7062b48871f201a01333b0a405e	2013-08-27	2	0	1
ac9ab7d4b40b4ac3c5fb42910b43f516	2019-05-13	2	0	NA
ac9ab7d4b40b4ac3c5fb42910b43f516	2019-01-10	3	0	2
ace6b844942a3115669e3ea612757892	2015-01-23	0	0	NA
ace6b844942a3115669e3ea612757892	2014-10-02	1	0	0
ace6b844942a3115669e3ea612757892	2013-06-28	0	0	1
ace6b844942a3115669e3ea612757892	2013-06-15	0	0	0
acf530ff65bdff563a279d87b2f8f20b	2018-01-23	0	0	NA
acf530ff65bdff563a279d87b2f8f20b	2016-11-28	2	0	0
acf530ff65bdff563a279d87b2f8f20b	2013-04-18	1	1	2
acf530ff65bdff563a279d87b2f8f20b	2012-04-11	1	0	1
ad089b3476d83a9bc52b098f16a5e736	2016-04-20	2	0	NA
ad089b3476d83a9bc52b098f16a5e736	2016-02-05	6	0	2
ad700d87855bf1d0fcf842f171eca25d	2014-11-11	1	0	NA
ad700d87855bf1d0fcf842f171eca25d	2014-06-10	2	0	1
ad700d87855bf1d0fcf842f171eca25d	2013-02-01	1	0	2
ad8fff42edbba40ba11fbba355f6ee21	2017-10-23	0	0	NA
ad8fff42edbba40ba11fbba355f6ee21	2014-12-03	1	0	0
ad8fff42edbba40ba11fbba355f6ee21	2014-07-08	1	0	1
ad8fff42edbba40ba11fbba355f6ee21	2013-12-16	1	0	1
adb79c7c43d35728ffb4ab65f2e12c05	2018-10-01	2	0	NA
adb79c7c43d35728ffb4ab65f2e12c05	2016-01-06	4	0	2
adb79c7c43d35728ffb4ab65f2e12c05	2012-04-16	4	1	4
adb79c7c43d35728ffb4ab65f2e12c05	2012-01-02	4	0	4
adb79c7c43d35728ffb4ab65f2e12c05	2010-10-04	3	NA	4
adcaab555202f8592fc41e644a337dd7	2016-10-06	7	0	NA
adcaab555202f8592fc41e644a337dd7	2015-03-13	0	0	7
adcaab555202f8592fc41e644a337dd7	2012-05-07	7	0	0
ae84b3b617c87ec55d660eac54ca717e	2019-09-13	2	0	NA
ae84b3b617c87ec55d660eac54ca717e	2017-12-15	3	0	2
ae8a5a195112c68d4f4aa5b262f40a98	2013-05-02	1	0	NA
ae8a5a195112c68d4f4aa5b262f40a98	2013-01-31	1	0	1
ae8a5a195112c68d4f4aa5b262f40a98	2012-09-03	1	0	1
ae8a5a195112c68d4f4aa5b262f40a98	2011-10-17	0	0	1
ae8a5a195112c68d4f4aa5b262f40a98	2010-08-30	1	NA	0
ae8afcf605091f8c595ed37a3c0dcec9	2013-03-14	7	0	NA
ae8afcf605091f8c595ed37a3c0dcec9	2010-11-04	8	NA	7
ae9d88ab75abd959fe3462608dc7702f	2015-02-24	1	0	NA
ae9d88ab75abd959fe3462608dc7702f	2015-01-12	2	0	1
aea3e70c9b04091e69b96f352e205655	2016-01-06	2	0	NA
aea3e70c9b04091e69b96f352e205655	2015-03-18	3	0	2
aeb4966cbd330bf0f9fc11449dec8884	2013-07-09	4	0	NA
aeb4966cbd330bf0f9fc11449dec8884	2012-08-13	5	0	4
aed4bfd21dbe1c5ac098b401e456af58	2010-04-08	1	NA	NA
aed4bfd21dbe1c5ac098b401e456af58	2009-11-27	2	NA	1
aeda70817361409d47fbeef2f6cbd7e9	2018-04-19	0	0	NA
aeda70817361409d47fbeef2f6cbd7e9	2018-02-01	1	0	0
aeda70817361409d47fbeef2f6cbd7e9	2017-02-08	1	0	1
aeda70817361409d47fbeef2f6cbd7e9	2016-03-17	0	0	1
aeda70817361409d47fbeef2f6cbd7e9	2012-07-01	0	0	0
af3a3332022ed311078440e1449e4a81	2018-08-20	1	0	NA
af3a3332022ed311078440e1449e4a81	2017-10-19	2	0	1
af8cd4c401a8406ee73e2870bb330f2f	2017-08-16	1	0	NA
af8cd4c401a8406ee73e2870bb330f2f	2017-03-13	1	0	1
af8cd4c401a8406ee73e2870bb330f2f	2017-02-13	1	0	1
af8cd4c401a8406ee73e2870bb330f2f	2016-10-18	1	0	1
af8cd4c401a8406ee73e2870bb330f2f	2014-05-08	0	0	1
af8cd4c401a8406ee73e2870bb330f2f	2011-01-27	1	0	0
afe629dbe54cdae493257adebbf41129	2019-02-01	5	0	NA
afe629dbe54cdae493257adebbf41129	2016-07-07	6	0	5
b00d9bdf5a97d05215d08dfce328caaa	2018-01-09	0	0	NA
b00d9bdf5a97d05215d08dfce328caaa	2017-03-13	1	0	0
b028595e88237861f7ea431f2fa8065f	2018-05-15	1	0	NA
b028595e88237861f7ea431f2fa8065f	2012-08-01	4	0	1
b053e754499deecf4540b2759076f30d	2010-05-07	1	NA	NA
b053e754499deecf4540b2759076f30d	2010-01-11	2	NA	1
b0b21e6abbd77daaac98321f6e9a2938	2016-01-28	4	0	NA
b0b21e6abbd77daaac98321f6e9a2938	2015-01-28	3	0	4
b0b21e6abbd77daaac98321f6e9a2938	2013-10-15	4	0	3
b0c00f69304106f006dea63d846a30c9	2016-10-07	0	0	NA
b0c00f69304106f006dea63d846a30c9	2015-08-19	1	0	0
b0cae0c28967b5a327664c09541ab767	2019-02-28	1	0	NA
b0cae0c28967b5a327664c09541ab767	2018-06-07	2	0	1
b0cae0c28967b5a327664c09541ab767	2017-04-03	1	0	2
b0d31bb6c0444065c1d8ca9308e85318	2013-05-22	0	0	NA
b0d31bb6c0444065c1d8ca9308e85318	2012-07-04	3	0	0
b0daa2a71a695fd97b61b4404b9e6b6d	2012-06-01	0	0	NA
b0daa2a71a695fd97b61b4404b9e6b6d	2011-03-15	2	0	0
b0daa2a71a695fd97b61b4404b9e6b6d	2010-01-25	0	NA	2
b0dd933c16801931b927e6fbf6ef8c57	2014-10-06	1	0	NA
b0dd933c16801931b927e6fbf6ef8c57	2012-02-15	5	0	1
b0dd933c16801931b927e6fbf6ef8c57	2011-05-09	2	0	5
b12190334f3480b9a78bffd622736bf1	2016-11-14	1	0	NA
b12190334f3480b9a78bffd622736bf1	2015-12-17	2	0	1
b141a656e10a96cb4c1d457907ce2072	2017-07-13	2	0	NA
b141a656e10a96cb4c1d457907ce2072	2011-05-13	3	0	2
b1670d0b48ce1a9c04ce9e0d9fe18286	2015-01-05	1	0	NA
b1670d0b48ce1a9c04ce9e0d9fe18286	2014-05-13	1	0	1
b1670d0b48ce1a9c04ce9e0d9fe18286	2013-02-05	0	0	1
b1670d0b48ce1a9c04ce9e0d9fe18286	2012-09-03	1	0	0
b177e46df41483a40f49dc5697377946	2013-12-06	1	0	NA
b177e46df41483a40f49dc5697377946	2009-10-14	2	NA	1
b18d73ce6d8e792f2ed03a7f2fbf9050	2017-10-19	3	0	NA
b18d73ce6d8e792f2ed03a7f2fbf9050	2017-03-01	4	0	3
b18d73ce6d8e792f2ed03a7f2fbf9050	2015-02-02	4	0	4
b18d73ce6d8e792f2ed03a7f2fbf9050	2014-12-22	4	0	4
b19cba8aa8b5dfb101662de43db71800	2019-08-01	3	0	NA
b19cba8aa8b5dfb101662de43db71800	2019-03-02	5	2	3
b19cba8aa8b5dfb101662de43db71800	2016-08-26	4	1	5
b19cba8aa8b5dfb101662de43db71800	2016-05-25	4	0	4
b1d99657e94bc0851bf9ace1cc6cc1fb	2019-06-27	2	0	NA
b1d99657e94bc0851bf9ace1cc6cc1fb	2015-07-28	3	0	2
b20a7ccb12137df5acff121513ed8197	2016-09-12	2	0	NA
b20a7ccb12137df5acff121513ed8197	2013-04-01	1	0	2
b20a7ccb12137df5acff121513ed8197	2012-04-04	2	0	1
b2151638c704e54ce6074c6e50f7f28c	2015-10-09	2	0	NA
b2151638c704e54ce6074c6e50f7f28c	2012-10-02	3	0	2
b246c154fdd0055765b14012d39c4ccd	2018-05-23	0	0	NA
b246c154fdd0055765b14012d39c4ccd	2018-02-23	1	0	0
b2707c684c6f907a791a9714646539b8	2017-04-20	0	0	NA
b2707c684c6f907a791a9714646539b8	2011-04-14	3	0	0
b2707c684c6f907a791a9714646539b8	2011-02-01	3	0	3
b27c8e913c736212ddbc2fa6466ad85f	2014-02-20	0	0	NA
b27c8e913c736212ddbc2fa6466ad85f	2012-10-19	1	0	0
b29c248fd7a3b1c75e192afdf23dd016	2016-12-15	2	0	NA
b29c248fd7a3b1c75e192afdf23dd016	2015-03-02	1	0	2
b29c248fd7a3b1c75e192afdf23dd016	2011-10-26	2	0	1
b2c5561e9b869af58a32b06f4dba07d2	2018-01-24	1	0	NA
b2c5561e9b869af58a32b06f4dba07d2	2013-04-02	5	0	1
b2c5561e9b869af58a32b06f4dba07d2	2010-06-05	1	0	5
b2cb01898f78bbfe4adc3e8a113a83a8	2016-04-21	0	0	NA
b2cb01898f78bbfe4adc3e8a113a83a8	2014-08-29	1	0	0
b2da87816ebb87b24bd9b5f74db11926	2019-03-05	0	0	NA
b2da87816ebb87b24bd9b5f74db11926	2014-11-11	3	0	0
b2e7254973194e0e34e58e7c5c8c73f6	2018-04-20	2	0	NA
b2e7254973194e0e34e58e7c5c8c73f6	2015-05-18	2	0	2
b2e7254973194e0e34e58e7c5c8c73f6	2014-07-10	2	0	2
b2e7254973194e0e34e58e7c5c8c73f6	2013-11-12	4	0	2
b3039ee336a521b590b9afe89f25cfdd	2014-05-02	2	0	NA
b3039ee336a521b590b9afe89f25cfdd	2010-10-19	3	NA	2
b318a62972ee5a67e535773633a0db79	2017-02-23	3	0	NA
b318a62972ee5a67e535773633a0db79	2015-03-04	1	0	3
b318a62972ee5a67e535773633a0db79	2014-05-23	3	1	1
b33ddc609ababd3a5d8d2edb716114cd	2014-04-16	5	0	NA
b33ddc609ababd3a5d8d2edb716114cd	2011-04-08	6	0	5
b36714aa354eaa2894b50c8a976a6cca	2016-03-30	2	0	NA
b36714aa354eaa2894b50c8a976a6cca	2013-07-02	3	0	2
b36bc9b83aee187478fa1c1b30435529	2015-10-07	3	0	NA
b36bc9b83aee187478fa1c1b30435529	2014-12-17	3	0	3
b36bc9b83aee187478fa1c1b30435529	2014-02-01	0	0	3
b36bc9b83aee187478fa1c1b30435529	2014-01-06	2	0	0
b36bc9b83aee187478fa1c1b30435529	2013-03-25	2	0	2
b3aab30390ccf68d3252cf8dc1f91f6f	2016-09-08	2	0	NA
b3aab30390ccf68d3252cf8dc1f91f6f	2013-12-19	3	0	2
b3cfa3d64e18af1062bc9996b3c97a87	2019-10-17	2	0	NA
b3cfa3d64e18af1062bc9996b3c97a87	2013-09-02	3	0	2
b3faabe232cabf4988ba55cf301a8d17	2019-10-09	0	0	NA
b3faabe232cabf4988ba55cf301a8d17	2019-02-26	1	1	0
b4223e5d742332612cf41384b13ad2b9	2017-11-07	2	0	NA
b4223e5d742332612cf41384b13ad2b9	2016-09-07	2	0	2
b4223e5d742332612cf41384b13ad2b9	2015-10-14	0	0	2
b4223e5d742332612cf41384b13ad2b9	2015-05-07	2	0	0
b4223e5d742332612cf41384b13ad2b9	2010-11-29	2	NA	2
b435e18fd7e3f1389e62093e4a5fb507	2018-03-01	2	0	NA
b435e18fd7e3f1389e62093e4a5fb507	2013-01-28	3	0	2
b438ce96f02f6b275497506abef8ae6e	2017-03-01	0	0	NA
b438ce96f02f6b275497506abef8ae6e	2012-06-22	1	0	0
b44126d97c483b6cf82172f7ecff0bf3	2015-02-06	2	0	NA
b44126d97c483b6cf82172f7ecff0bf3	2014-08-04	0	0	2
b44126d97c483b6cf82172f7ecff0bf3	2009-06-22	1	NA	0
b44d1e070693efaedcaf0098f74ab05b	2019-04-04	2	0	NA
b44d1e070693efaedcaf0098f74ab05b	2017-08-24	3	0	2
b48101ff735e59ac18f6401343223d55	2019-06-26	3	0	NA
b48101ff735e59ac18f6401343223d55	2015-03-04	6	0	3
b48101ff735e59ac18f6401343223d55	2014-02-03	5	0	6
b48101ff735e59ac18f6401343223d55	2011-10-06	5	0	5
b4aa679b43a100d9c2e50f937ec1bd4b	2011-09-28	2	0	NA
b4aa679b43a100d9c2e50f937ec1bd4b	2011-01-24	3	0	2
b4aa80787d66aed04eb450e34d43c9a6	2012-05-01	0	0	NA
b4aa80787d66aed04eb450e34d43c9a6	2009-11-16	1	NA	0
b4dadeb95c86aeb4735e09b4dbf32cca	2013-10-02	3	0	NA
b4dadeb95c86aeb4735e09b4dbf32cca	2011-06-01	5	0	3
b4e6626abc26f75d6298ec4296546935	2017-01-02	0	0	NA
b4e6626abc26f75d6298ec4296546935	2016-10-20	1	0	0
b5185f1edeb2429e65f4ae1d385c3ee5	2017-06-22	3	0	NA
b5185f1edeb2429e65f4ae1d385c3ee5	2016-12-28	4	0	3
b51c2828d58e2185a2a0bfe528b692b3	2018-03-20	2	0	NA
b51c2828d58e2185a2a0bfe528b692b3	2017-08-19	1	0	2
b51c2828d58e2185a2a0bfe528b692b3	2017-06-12	2	0	1
b51c2828d58e2185a2a0bfe528b692b3	2017-02-11	2	0	2
b51c2828d58e2185a2a0bfe528b692b3	2013-08-23	2	0	2
b527c747d0b959bae5bc4a782c14bd08	2019-04-12	2	0	NA
b527c747d0b959bae5bc4a782c14bd08	2017-02-09	3	0	2
b527c747d0b959bae5bc4a782c14bd08	2011-04-08	3	0	3
b527c747d0b959bae5bc4a782c14bd08	2010-01-07	3	NA	3
b5505e5e75541c68dd342592e34a7c68	2017-10-04	1	0	NA
b5505e5e75541c68dd342592e34a7c68	2015-08-24	1	0	1
b5505e5e75541c68dd342592e34a7c68	2012-02-02	2	0	1
b5505e5e75541c68dd342592e34a7c68	2011-05-04	2	0	2
b5505e5e75541c68dd342592e34a7c68	2009-11-30	2	NA	2
b55708195e3aec10337e12dbe80eebbc	2010-04-01	2	NA	NA
b55708195e3aec10337e12dbe80eebbc	2010-03-29	4	NA	2
b55708195e3aec10337e12dbe80eebbc	2009-11-24	5	NA	4
b560461f2dabf9d1222c72e7ba43b284	2019-03-18	3	0	NA
b560461f2dabf9d1222c72e7ba43b284	2018-05-04	5	0	3
b5aa984a922101aae6042990f36d583b	2017-04-04	1	0	NA
b5aa984a922101aae6042990f36d583b	2017-03-06	0	0	1
b5aa984a922101aae6042990f36d583b	2015-09-01	1	0	0
b5ac37881888775e814df4f93b6e4514	2016-04-12	5	0	NA
b5ac37881888775e814df4f93b6e4514	2015-01-06	4	0	5
b5ac37881888775e814df4f93b6e4514	2014-06-19	5	0	4
b5bbe49b0c9ee127b4282b594bdc499e	2016-09-01	0	0	NA
b5bbe49b0c9ee127b4282b594bdc499e	2016-01-04	1	0	0
b5bbe49b0c9ee127b4282b594bdc499e	2014-12-11	1	0	1
b5d48fa4242e2c824d22d009e1766d49	2019-06-14	3	0	NA
b5d48fa4242e2c824d22d009e1766d49	2019-05-13	1	0	3
b5d48fa4242e2c824d22d009e1766d49	2017-05-15	3	0	1
b5d6ff3398c6c5b642e6b7110bc6b7a4	2016-08-20	4	0	NA
b5d6ff3398c6c5b642e6b7110bc6b7a4	2016-05-18	4	0	4
b5d6ff3398c6c5b642e6b7110bc6b7a4	2015-08-11	4	0	4
b5d6ff3398c6c5b642e6b7110bc6b7a4	2013-12-17	3	0	4
b5d6ff3398c6c5b642e6b7110bc6b7a4	2012-04-02	3	0	3
b5d6ff3398c6c5b642e6b7110bc6b7a4	2011-06-14	4	0	3
b5d96c5a9885289e9e3253a400421dac	2010-10-25	0	NA	NA
b5d96c5a9885289e9e3253a400421dac	2010-01-13	1	NA	0
b65b31d184e647dfe152331e343a8aac	2013-02-11	0	0	NA
b65b31d184e647dfe152331e343a8aac	2011-10-11	1	0	0
b676f2a02f5c9455ce060b0834ff5db1	2015-02-27	2	0	NA
b676f2a02f5c9455ce060b0834ff5db1	2013-03-05	3	0	2
b67907988fd6b017435b73b093f7a4f2	2016-08-25	1	0	NA
b67907988fd6b017435b73b093f7a4f2	2012-08-06	3	0	1
b68215468072edcaa1e35b416aac56fa	2011-05-30	0	0	NA
b68215468072edcaa1e35b416aac56fa	2009-07-24	1	NA	0
b72ffaa80e0b1a737fcc137862d1a644	2019-01-01	2	0	NA
b72ffaa80e0b1a737fcc137862d1a644	2018-06-18	3	0	2
b7300e318b145b4d586cf5e506d576f2	2014-06-06	2	0	NA
b7300e318b145b4d586cf5e506d576f2	2012-03-05	3	0	2
b735184a001578e98c1ed2cfe0cba769	2019-04-25	0	0	NA
b735184a001578e98c1ed2cfe0cba769	2019-01-31	3	0	0
b782e0234a614f218dc9f4c35f009b7b	2019-04-08	2	0	NA
b782e0234a614f218dc9f4c35f009b7b	2017-12-18	3	0	2
b782e0234a614f218dc9f4c35f009b7b	2014-10-07	2	0	3
b782e0234a614f218dc9f4c35f009b7b	2010-05-20	2	NA	2
b7b0799e084e0560ce49134c1e4e6c58	2017-06-21	4	0	NA
b7b0799e084e0560ce49134c1e4e6c58	2016-02-08	1	0	4
b7b0799e084e0560ce49134c1e4e6c58	2009-05-06	2	NA	1
b80c8fe4f12b3bb0eac15c0c0ac56ea8	2016-01-11	1	0	NA
b80c8fe4f12b3bb0eac15c0c0ac56ea8	2010-06-22	3	NA	1
b80f7d26fd6ff23f905991550a670b12	2014-08-07	2	0	NA
b80f7d26fd6ff23f905991550a670b12	2013-09-07	4	0	2
b87409e2b8bc63c260f15a7d796ad207	2011-12-06	3	0	NA
b87409e2b8bc63c260f15a7d796ad207	2010-04-21	4	NA	3
b888b5821ab0e7f3d05e626be5324148	2019-02-13	0	0	NA
b888b5821ab0e7f3d05e626be5324148	2017-02-27	1	0	0
b8ec4e473051f8d8a5352cba5e9ca1f2	2015-10-13	3	0	NA
b8ec4e473051f8d8a5352cba5e9ca1f2	2015-06-30	4	0	3
b91e78b1fde65fded9f69aad9744581d	2019-01-03	4	0	NA
b91e78b1fde65fded9f69aad9744581d	2017-07-26	3	0	4
b91e78b1fde65fded9f69aad9744581d	2012-02-13	4	1	3
b9241cb2b5a2afc42bddeb10d678edd4	2018-01-23	0	0	NA
b9241cb2b5a2afc42bddeb10d678edd4	2017-04-04	3	0	0
b92a8e8a234dcc3ad2cf53c71fe77e5d	2019-06-10	0	0	NA
b92a8e8a234dcc3ad2cf53c71fe77e5d	2018-12-18	2	0	0
b92a8e8a234dcc3ad2cf53c71fe77e5d	2018-08-06	2	0	2
b97a3c6309a1dcf3dd0ae83ce8f3e34e	2017-10-06	5	0	NA
b97a3c6309a1dcf3dd0ae83ce8f3e34e	2011-04-16	6	6	5
b9991bb70dcc95c154c6f6a7b8f46de0	2019-04-26	4	0	NA
b9991bb70dcc95c154c6f6a7b8f46de0	2013-08-26	5	0	4
b9b3dfc22b6253b98bace03fe4e73267	2015-03-18	2	0	NA
b9b3dfc22b6253b98bace03fe4e73267	2014-07-28	3	0	2
b9b3dfc22b6253b98bace03fe4e73267	2014-05-12	2	0	3
b9fd0af581a02709bc8eca4952e4ca97	2017-02-21	3	0	NA
b9fd0af581a02709bc8eca4952e4ca97	2016-03-04	3	0	3
b9fd0af581a02709bc8eca4952e4ca97	2015-02-18	4	0	3
ba24ec8711c4e24ddf6c23628062ed7e	2019-01-03	2	0	NA
ba24ec8711c4e24ddf6c23628062ed7e	2018-05-22	3	0	2
ba30610611f462591a27ef227c9e1121	2018-02-02	2	0	NA
ba30610611f462591a27ef227c9e1121	2017-08-02	3	0	2
ba30610611f462591a27ef227c9e1121	2016-07-12	3	0	3
ba30610611f462591a27ef227c9e1121	2016-05-02	3	0	3
ba30610611f462591a27ef227c9e1121	2015-10-27	3	0	3
ba40f58d5fa6c92b51b84b020f2a41a8	2013-06-27	4	0	NA
ba40f58d5fa6c92b51b84b020f2a41a8	2010-03-08	4	NA	4
ba40f58d5fa6c92b51b84b020f2a41a8	2010-01-12	3	NA	4
ba40f58d5fa6c92b51b84b020f2a41a8	2009-03-17	4	NA	3
ba5e4de085b11983b355b17f981b08b6	2015-01-13	1	0	NA
ba5e4de085b11983b355b17f981b08b6	2012-11-20	4	0	1
baac47ffd26b7ac3c2b3cc2e2e7394ae	2017-02-23	0	0	NA
baac47ffd26b7ac3c2b3cc2e2e7394ae	2015-02-24	1	1	0
bab2359744c6326ae6bbe738aa48be30	2018-04-09	2	0	NA
bab2359744c6326ae6bbe738aa48be30	2015-04-02	3	0	2
bab2359744c6326ae6bbe738aa48be30	2009-07-31	4	NA	3
bb27b5ba1e2eafc42306506c96b88870	2017-12-07	4	0	NA
bb27b5ba1e2eafc42306506c96b88870	2015-05-06	2	0	4
bb27b5ba1e2eafc42306506c96b88870	2013-10-02	1	0	2
bb27b5ba1e2eafc42306506c96b88870	2012-06-19	2	0	1
bb726a000cf616532f0df882500eeb76	2017-08-22	2	0	NA
bb726a000cf616532f0df882500eeb76	2016-12-17	2	0	2
bb726a000cf616532f0df882500eeb76	2016-02-22	2	0	2
bb726a000cf616532f0df882500eeb76	2016-01-02	3	0	2
bb7fd5deacd6065c8b10768ad1c77198	2018-01-22	1	0	NA
bb7fd5deacd6065c8b10768ad1c77198	2017-07-11	1	0	1
bb7fd5deacd6065c8b10768ad1c77198	2014-09-01	2	0	1
bba0d9e93666b8bd3bc4e61721f9de8a	2014-01-13	3	0	NA
bba0d9e93666b8bd3bc4e61721f9de8a	2013-05-28	4	0	3
bbcd8b719c8fe9d27cfe027ce603e551	2015-07-22	1	0	NA
bbcd8b719c8fe9d27cfe027ce603e551	2011-05-27	1	0	1
bbcd8b719c8fe9d27cfe027ce603e551	2009-10-06	2	NA	1
bbf1d6341eb3677790bd2f6019ac9d8d	2017-06-01	2	0	NA
bbf1d6341eb3677790bd2f6019ac9d8d	2013-08-08	3	0	2
bc234258283c9e5d5116a38449e16c01	2019-05-02	3	0	NA
bc234258283c9e5d5116a38449e16c01	2019-04-17	3	0	3
bc234258283c9e5d5116a38449e16c01	2018-09-13	2	0	3
bc234258283c9e5d5116a38449e16c01	2017-08-14	3	0	2
bc2e8536f381d1b768040a97aa9a216a	2017-08-31	4	0	NA
bc2e8536f381d1b768040a97aa9a216a	2015-03-09	1	0	4
bc2e8536f381d1b768040a97aa9a216a	2013-09-16	4	0	1
bc5117bb7b9d4fe4e09ce6fd0b328c0f	2011-01-11	3	0	NA
bc5117bb7b9d4fe4e09ce6fd0b328c0f	2010-09-24	5	NA	3
bc7256ac6fa06e61cfe7e6f3120d0d86	2013-08-02	4	0	NA
bc7256ac6fa06e61cfe7e6f3120d0d86	2011-03-22	4	0	4
bc7256ac6fa06e61cfe7e6f3120d0d86	2011-01-05	1	0	4
bc7256ac6fa06e61cfe7e6f3120d0d86	2010-12-16	4	NA	1
bc7f9b10899b83edbb649255745470c5	2017-02-15	2	0	NA
bc7f9b10899b83edbb649255745470c5	2016-06-01	3	0	2
bc7f9b10899b83edbb649255745470c5	2016-04-27	3	0	3
bc81e80a238b0a08def079e673ca22a5	2019-07-03	1	0	NA
bc81e80a238b0a08def079e673ca22a5	2018-07-23	2	0	1
bcb10a8cc20dc71519d680540e680e5a	2019-07-26	1	0	NA
bcb10a8cc20dc71519d680540e680e5a	2019-01-17	1	0	1
bcb10a8cc20dc71519d680540e680e5a	2018-08-08	2	0	1
bcb10a8cc20dc71519d680540e680e5a	2018-02-07	1	0	2
bcb10a8cc20dc71519d680540e680e5a	2017-02-23	1	0	1
bcb10a8cc20dc71519d680540e680e5a	2016-11-25	1	0	1
bcb10a8cc20dc71519d680540e680e5a	2014-02-26	1	0	1
bcce2109d65b59705bb9cd13e231151c	2016-01-02	2	0	NA
bcce2109d65b59705bb9cd13e231151c	2014-12-15	3	0	2
bcceb3c18ca235ac3badae335ae6dbdf	2017-10-02	1	1	NA
bcceb3c18ca235ac3badae335ae6dbdf	2016-09-28	1	2	1
bcceb3c18ca235ac3badae335ae6dbdf	2016-05-17	1	0	1
bcceb3c18ca235ac3badae335ae6dbdf	2015-10-05	1	0	1
bcceb3c18ca235ac3badae335ae6dbdf	2012-02-24	2	2	1
bcfff6ddb289d711df195a034570336c	2019-03-01	0	0	NA
bcfff6ddb289d711df195a034570336c	2017-03-13	1	0	0
bcfff6ddb289d711df195a034570336c	2014-10-06	1	0	1
bd0b9c2691a0364ee1d5180d3f8ddb54	2018-10-16	1	0	NA
bd0b9c2691a0364ee1d5180d3f8ddb54	2015-11-01	2	0	1
bd2c9c4b9096dfcd607509dd500b4e74	2010-05-03	0	NA	NA
bd2c9c4b9096dfcd607509dd500b4e74	2009-04-15	3	NA	0
bd4fda3b0fd66af703af851ef201715f	2018-01-23	2	0	NA
bd4fda3b0fd66af703af851ef201715f	2017-09-04	5	0	2
bd66f367c5f4dc4711c6c32b8d650f81	2018-06-08	3	0	NA
bd66f367c5f4dc4711c6c32b8d650f81	2017-10-19	4	0	3
bd66f367c5f4dc4711c6c32b8d650f81	2009-09-04	3	NA	4
bd8929416ae3ba71d9cfea7887957eb1	2018-02-22	2	0	NA
bd8929416ae3ba71d9cfea7887957eb1	2018-02-06	0	0	2
bd8929416ae3ba71d9cfea7887957eb1	2017-06-09	1	0	0
bda586b63c73f81f8c98a08cd1c5aed8	2010-11-02	2	NA	NA
bda586b63c73f81f8c98a08cd1c5aed8	2010-01-05	3	NA	2
bdfffdbf743f52d536d4a66161f9d33f	2017-04-26	2	0	NA
bdfffdbf743f52d536d4a66161f9d33f	2017-04-03	0	0	2
bdfffdbf743f52d536d4a66161f9d33f	2017-03-20	0	0	0
bdfffdbf743f52d536d4a66161f9d33f	2010-12-03	1	NA	0
be2e8337761f2b59a8691553e736793d	2019-03-11	0	0	NA
be2e8337761f2b59a8691553e736793d	2011-01-19	2	0	0
be4361568633d2618159a388f542f458	2013-12-10	1	0	NA
be4361568633d2618159a388f542f458	2011-08-01	2	0	1
be6b98f2af35f8512ed3fda6e67e7091	2019-04-24	0	0	NA
be6b98f2af35f8512ed3fda6e67e7091	2017-01-30	1	0	0
be6b98f2af35f8512ed3fda6e67e7091	2016-02-16	1	0	1
be6b98f2af35f8512ed3fda6e67e7091	2015-02-05	1	0	1
beb8147c574fedb003563d730177b683	2018-07-07	3	0	NA
beb8147c574fedb003563d730177b683	2017-09-08	4	0	3
beb8147c574fedb003563d730177b683	2017-04-01	3	0	4
beb8147c574fedb003563d730177b683	2016-10-01	3	0	3
bebdc26fd302a4cd5e508e6b1614a85f	2015-08-31	2	0	NA
bebdc26fd302a4cd5e508e6b1614a85f	2015-07-20	39	0	2
bebdc26fd302a4cd5e508e6b1614a85f	2010-02-24	2	NA	39
bec0567b0159d748c6edbe2ada932d4c	2018-05-25	2	0	NA
bec0567b0159d748c6edbe2ada932d4c	2018-04-05	3	0	2
bec0567b0159d748c6edbe2ada932d4c	2018-02-01	2	0	3
bec3109add355dc21f0d5ca7bed8f225	2015-01-12	1	0	NA
bec3109add355dc21f0d5ca7bed8f225	2013-05-10	2	0	1
bedc5faf1a6e7cce7a2b686a42635ff7	2019-08-12	2	0	NA
bedc5faf1a6e7cce7a2b686a42635ff7	2018-12-04	3	0	2
bedc5faf1a6e7cce7a2b686a42635ff7	2017-11-16	3	0	3
bf1439617fbceec064cb1b984b427312	2014-08-08	0	0	NA
bf1439617fbceec064cb1b984b427312	2013-06-14	1	0	0
bf1439617fbceec064cb1b984b427312	2012-06-05	1	0	1
bf1439617fbceec064cb1b984b427312	2012-05-02	1	0	1
bf1439617fbceec064cb1b984b427312	2010-06-17	1	NA	1
bf28135d809e43d9fa3fdbc25f84f235	2018-05-11	0	0	NA
bf28135d809e43d9fa3fdbc25f84f235	2017-07-10	1	0	0
bf28135d809e43d9fa3fdbc25f84f235	2016-01-01	0	0	1
bf2a0b6ecff6b7206e17dfc3a3269833	2018-04-11	1	0	NA
bf2a0b6ecff6b7206e17dfc3a3269833	2016-09-23	4	0	1
bf2a0b6ecff6b7206e17dfc3a3269833	2015-10-08	1	0	4
bf2aa4344fd5a1b61e900d1bbdb1b6ce	2019-05-09	2	0	NA
bf2aa4344fd5a1b61e900d1bbdb1b6ce	2018-04-23	3	0	2
bf2aa4344fd5a1b61e900d1bbdb1b6ce	2017-10-02	2	0	3
bf2aa4344fd5a1b61e900d1bbdb1b6ce	2015-12-09	1	0	2
bf35d83a5028f71a48aec83691bd0f5a	2012-06-14	3	0	NA
bf35d83a5028f71a48aec83691bd0f5a	2010-05-12	4	NA	3
bf3e77e32080b2a5cea5f9b61535ac40	2017-03-13	2	1	NA
bf3e77e32080b2a5cea5f9b61535ac40	2015-03-20	3	0	2
bf9d08cc56bc1f56d90142c7d6355b42	2016-10-18	1	0	NA
bf9d08cc56bc1f56d90142c7d6355b42	2016-08-18	1	0	1
bf9d08cc56bc1f56d90142c7d6355b42	2015-11-10	2	0	1
bfb64ca4f01e4da3fb5acbe0d39b2768	2017-03-17	1	0	NA
bfb64ca4f01e4da3fb5acbe0d39b2768	2014-01-29	2	0	1
c012fe84c122efe4debc1d71581c96af	2011-10-11	4	0	NA
c012fe84c122efe4debc1d71581c96af	2010-07-26	5	NA	4
c0509779dc21ad422a9ec4c50596b8f0	2019-03-01	4	0	NA
c0509779dc21ad422a9ec4c50596b8f0	2015-07-20	5	0	4
c07e6271067a0a0b9aafb215b42239b2	2017-03-16	3	0	NA
c07e6271067a0a0b9aafb215b42239b2	2017-02-06	2	0	3
c07e6271067a0a0b9aafb215b42239b2	2016-03-11	3	0	2
c07e6271067a0a0b9aafb215b42239b2	2015-01-29	3	0	3
c07e6271067a0a0b9aafb215b42239b2	2012-04-09	3	0	3
c07e6271067a0a0b9aafb215b42239b2	2009-12-16	2	NA	3
c0952b34477388f185fe6adf0a4207ab	2017-11-06	0	0	NA
c0952b34477388f185fe6adf0a4207ab	2015-12-09	0	0	0
c0952b34477388f185fe6adf0a4207ab	2015-11-02	1	0	0
c0952b34477388f185fe6adf0a4207ab	2015-09-15	0	0	1
c1055ae533c4dca884e506ed85772acc	2019-02-25	3	0	NA
c1055ae533c4dca884e506ed85772acc	2019-02-05	0	0	3
c1055ae533c4dca884e506ed85772acc	2016-05-03	0	0	0
c1055ae533c4dca884e506ed85772acc	2015-01-28	3	0	0
c112029103236e0e8bfa003f05a87020	2019-07-19	0	0	NA
c112029103236e0e8bfa003f05a87020	2019-04-25	2	0	0
c112029103236e0e8bfa003f05a87020	2015-11-24	0	0	2
c1219caa444eb7ad803cac65c7d91163	2017-03-16	1	0	NA
c1219caa444eb7ad803cac65c7d91163	2017-02-01	4	0	1
c1219caa444eb7ad803cac65c7d91163	2016-11-08	1	0	4
c1877eebba019e2ef8eaeaee692195ae	2012-04-25	0	0	NA
c1877eebba019e2ef8eaeaee692195ae	2011-09-01	3	0	0
c1abba8d179bf5cf412411f8407f70b5	2015-07-08	1	0	NA
c1abba8d179bf5cf412411f8407f70b5	2014-05-22	2	0	1
c1f6979c7a7bd56f2eada538f171298f	2018-01-30	1	0	NA
c1f6979c7a7bd56f2eada538f171298f	2015-09-23	3	0	1
c1f9004d4a17277ab972bb06701a41eb	2016-07-07	3	0	NA
c1f9004d4a17277ab972bb06701a41eb	2013-11-26	5	0	3
c21e5a3735db15aa91c695530a7014cd	2018-10-15	0	0	NA
c21e5a3735db15aa91c695530a7014cd	2016-01-02	1	0	0
c21e5a3735db15aa91c695530a7014cd	2014-10-10	0	0	1
c22f47e320f4d7f8552cf90461d48ee6	2017-07-31	3	0	NA
c22f47e320f4d7f8552cf90461d48ee6	2015-10-29	4	0	3
c29048078707d9f6e7f89953f892bc69	2016-03-18	1	0	NA
c29048078707d9f6e7f89953f892bc69	2015-04-02	3	0	1
c29dfc9aa63c70e6ff96c966c553f7a6	2015-01-16	2	0	NA
c29dfc9aa63c70e6ff96c966c553f7a6	2013-08-02	3	0	2
c29dfc9aa63c70e6ff96c966c553f7a6	2013-02-19	2	0	3
c2bca82054eee006069a782e21e6f6ee	2019-09-17	0	0	NA
c2bca82054eee006069a782e21e6f6ee	2013-10-02	2	0	0
c2dabc00fd9ec375c76799139e3057e6	2012-07-18	4	1	NA
c2dabc00fd9ec375c76799139e3057e6	2010-08-02	7	NA	4
c3095f790ef4de6eb1b44c7d842aafed	2013-01-21	0	0	NA
c3095f790ef4de6eb1b44c7d842aafed	2012-11-21	1	0	0
c312fad85358730c6cfb763972cfa2c4	2017-05-04	2	0	NA
c312fad85358730c6cfb763972cfa2c4	2016-10-13	3	0	2
c312fad85358730c6cfb763972cfa2c4	2015-04-06	3	0	3
c3245056a1da56f4ff571b663538c38e	2018-03-20	0	0	NA
c3245056a1da56f4ff571b663538c38e	2016-07-12	1	0	0
c3245056a1da56f4ff571b663538c38e	2015-03-02	0	1	1
c35739c5dc716f5a587608b39acd211e	2019-01-01	2	0	NA
c35739c5dc716f5a587608b39acd211e	2018-04-18	3	0	2
c35db39d590bdc46fcf06d26e0ecf89a	2019-03-05	1	0	NA
c35db39d590bdc46fcf06d26e0ecf89a	2019-02-01	1	0	1
c35db39d590bdc46fcf06d26e0ecf89a	2018-09-27	2	0	1
c35db39d590bdc46fcf06d26e0ecf89a	2015-01-23	1	0	2
c35db39d590bdc46fcf06d26e0ecf89a	2014-07-01	1	0	1
c36922cb2e193e3634cc47cd7343b876	2018-08-20	3	0	NA
c36922cb2e193e3634cc47cd7343b876	2017-02-09	4	0	3
c36e8aa7e30a265fe0b2dd3960484767	2017-01-26	0	0	NA
c36e8aa7e30a265fe0b2dd3960484767	2016-12-31	0	0	0
c36e8aa7e30a265fe0b2dd3960484767	2016-05-18	1	0	0
c38bf36f1b70602af5102fb4935a19e2	2017-07-03	3	0	NA
c38bf36f1b70602af5102fb4935a19e2	2010-11-30	4	NA	3
c3928a0e0eba62809cf12d2164ebb4b2	2013-08-26	5	0	NA
c3928a0e0eba62809cf12d2164ebb4b2	2011-07-19	6	0	5
c3b0ab0bb2cc5286ba129160f74135b7	2018-03-29	2	0	NA
c3b0ab0bb2cc5286ba129160f74135b7	2013-11-06	3	0	2
c3bd856e4619a18d4c4bf2c03bb68f16	2017-12-26	6	0	NA
c3bd856e4619a18d4c4bf2c03bb68f16	2016-11-29	5	0	6
c3bd856e4619a18d4c4bf2c03bb68f16	2015-12-07	2	0	5
c3bd856e4619a18d4c4bf2c03bb68f16	2015-09-22	5	0	2
c3bd856e4619a18d4c4bf2c03bb68f16	2014-07-29	5	0	5
c3bd856e4619a18d4c4bf2c03bb68f16	2013-12-17	5	0	5
c3d647b60a9419dc52618a4d1da427dd	2011-01-12	2	0	NA
c3d647b60a9419dc52618a4d1da427dd	2010-08-04	3	NA	2
c3db97bc572efa7c67bce33ae273d975	2019-06-05	3	1	NA
c3db97bc572efa7c67bce33ae273d975	2019-04-09	2	0	3
c3db97bc572efa7c67bce33ae273d975	2019-04-03	3	1	2
c3ee967b6f0b232afa1517c28a8e568f	2010-08-05	1	NA	NA
c3ee967b6f0b232afa1517c28a8e568f	2010-02-11	2	NA	1
c4441739a86732aa2975002518faf2a6	2015-09-01	3	0	NA
c4441739a86732aa2975002518faf2a6	2015-03-05	2	0	3
c4441739a86732aa2975002518faf2a6	2014-02-04	3	0	2
c4537bdb90809cde1fc4573f6140a988	2018-09-03	1	0	NA
c4537bdb90809cde1fc4573f6140a988	2016-07-26	2	0	1
c488b632e799fa5866034cbe5087057b	2017-11-13	2	0	NA
c488b632e799fa5866034cbe5087057b	2017-09-28	4	0	2
c488b632e799fa5866034cbe5087057b	2016-12-01	4	0	4
c4b666094b18d0909e7d2a03bde4b5ac	2018-01-18	4	0	NA
c4b666094b18d0909e7d2a03bde4b5ac	2013-01-30	2	0	4
c4b666094b18d0909e7d2a03bde4b5ac	2012-05-22	3	1	2
c4c0c35532b766b0196a2c2129e1515c	2017-11-20	2	0	NA
c4c0c35532b766b0196a2c2129e1515c	2015-12-11	5	0	2
c5046bd2a427f2455ac7895aa99743d0	2017-07-26	2	0	NA
c5046bd2a427f2455ac7895aa99743d0	2014-07-28	3	0	2
c50b8ee57da0bbb9f4c633a4e81ba259	2014-02-07	1	0	NA
c50b8ee57da0bbb9f4c633a4e81ba259	2013-04-01	2	0	1
c50b8ee57da0bbb9f4c633a4e81ba259	2011-01-04	2	2	2
c51a5b958f10c95dbbf9cdd9a42cfffd	2019-02-19	0	0	NA
c51a5b958f10c95dbbf9cdd9a42cfffd	2016-03-14	1	0	0
c51a5b958f10c95dbbf9cdd9a42cfffd	2013-09-06	1	0	1
c52ecd576bb4f5e1df912b149ee88438	2019-01-01	6	0	NA
c52ecd576bb4f5e1df912b149ee88438	2016-06-01	5	0	6
c52ecd576bb4f5e1df912b149ee88438	2015-10-05	6	0	5
c552a53df8324d79b3224b8e4f4d2897	2019-06-11	2	0	NA
c552a53df8324d79b3224b8e4f4d2897	2019-05-01	2	0	2
c552a53df8324d79b3224b8e4f4d2897	2018-07-18	3	0	2
c552a53df8324d79b3224b8e4f4d2897	2018-02-21	3	0	3
c552a53df8324d79b3224b8e4f4d2897	2016-10-27	2	0	3
c55730b9637bd0e61824aedb9f45716c	2014-02-18	1	0	NA
c55730b9637bd0e61824aedb9f45716c	2012-09-03	2	0	1
c55730b9637bd0e61824aedb9f45716c	2012-07-13	1	0	2
c564971300c2131e1a9920b381690f9a	2018-04-17	1	0	NA
c564971300c2131e1a9920b381690f9a	2016-08-01	2	0	1
c59496365b03c317f37c4dbbf8fa3c7f	2017-05-23	0	0	NA
c59496365b03c317f37c4dbbf8fa3c7f	2017-03-16	0	0	0
c59496365b03c317f37c4dbbf8fa3c7f	2014-08-13	1	0	0
c5c64b5457e9a2a2667bf608acca6ecb	2015-11-26	1	0	NA
c5c64b5457e9a2a2667bf608acca6ecb	2015-08-17	2	0	1
c5f21baaad833aeb1710939029c47f12	2014-11-10	1	0	NA
c5f21baaad833aeb1710939029c47f12	2011-07-18	2	0	1
c603d397873a4cef8411e6508e6872f5	2019-06-27	2	0	NA
c603d397873a4cef8411e6508e6872f5	2019-06-04	3	0	2
c603d397873a4cef8411e6508e6872f5	2018-11-20	1	0	3
c603d397873a4cef8411e6508e6872f5	2017-02-09	2	0	1
c603d397873a4cef8411e6508e6872f5	2015-10-27	2	0	2
c603d397873a4cef8411e6508e6872f5	2015-07-22	2	0	2
c60b55d60d0fb7abffb2aeec1b771adf	2017-05-10	4	0	NA
c60b55d60d0fb7abffb2aeec1b771adf	2017-01-03	4	0	4
c60b55d60d0fb7abffb2aeec1b771adf	2016-10-24	3	1	4
c60b55d60d0fb7abffb2aeec1b771adf	2016-05-24	4	0	3
c60b55d60d0fb7abffb2aeec1b771adf	2014-07-02	4	0	4
c60b55d60d0fb7abffb2aeec1b771adf	2013-08-15	3	0	4
c60b55d60d0fb7abffb2aeec1b771adf	2012-05-07	4	0	3
c62d66b1b32e7a72bb1b5fe116d71091	2014-02-27	3	0	NA
c62d66b1b32e7a72bb1b5fe116d71091	2012-06-29	1	0	3
c62d66b1b32e7a72bb1b5fe116d71091	2011-08-05	3	0	1
c668aa3153ea4a1a4435c45557feb80b	2019-02-19	3	0	NA
c668aa3153ea4a1a4435c45557feb80b	2013-06-28	2	0	3
c668aa3153ea4a1a4435c45557feb80b	2010-11-15	3	NA	2
c6713ca998ded92b2d87a8d2eb93a5c2	2018-01-15	3	0	NA
c6713ca998ded92b2d87a8d2eb93a5c2	2017-05-16	3	0	3
c6713ca998ded92b2d87a8d2eb93a5c2	2012-12-12	2	0	3
c6713ca998ded92b2d87a8d2eb93a5c2	2012-09-07	0	0	2
c6713ca998ded92b2d87a8d2eb93a5c2	2012-08-22	2	0	0
c6973feee116442a6e57c35a8509b7cd	2017-07-20	0	0	NA
c6973feee116442a6e57c35a8509b7cd	2014-11-19	1	0	0
c6a4a9af69f4a6a1f3d2081345db6bc6	2019-10-01	1	0	NA
c6a4a9af69f4a6a1f3d2081345db6bc6	2011-06-29	2	1	1
c6a4a9af69f4a6a1f3d2081345db6bc6	2011-02-01	2	0	2
c6a6cbbc85ee0c60d11467d28a57288f	2018-08-08	0	0	NA
c6a6cbbc85ee0c60d11467d28a57288f	2017-02-08	1	0	0
c6a6cbbc85ee0c60d11467d28a57288f	2016-05-23	1	1	1
c6a6cbbc85ee0c60d11467d28a57288f	2016-03-09	1	0	1
c6b7f59b16ef3b261c20247d3a85e11b	2015-11-20	1	0	NA
c6b7f59b16ef3b261c20247d3a85e11b	2009-11-09	3	NA	1
c6b80ca84918b6fc0a6be1502b581ae9	2019-08-19	3	0	NA
c6b80ca84918b6fc0a6be1502b581ae9	2016-07-12	2	0	3
c6b80ca84918b6fc0a6be1502b581ae9	2015-03-20	3	0	2
c6eef1bad474993b76ee6032ca38aa23	2018-01-29	5	0	NA
c6eef1bad474993b76ee6032ca38aa23	2017-10-30	1	0	5
c6eef1bad474993b76ee6032ca38aa23	2016-02-08	4	0	1
c6f960fd37ab8960d21f256cc29cdcf0	2018-02-08	2	0	NA
c6f960fd37ab8960d21f256cc29cdcf0	2014-05-02	3	0	2
c71b09b91f137924e05220d36cdbc67c	2015-09-09	1	0	NA
c71b09b91f137924e05220d36cdbc67c	2015-08-03	2	0	1
c71b09b91f137924e05220d36cdbc67c	2015-06-11	2	0	2
c7383d89417b31c1655416c8d5fbcae4	2015-09-08	2	0	NA
c7383d89417b31c1655416c8d5fbcae4	2015-03-02	1	0	2
c7383d89417b31c1655416c8d5fbcae4	2014-01-30	2	0	1
c7383d89417b31c1655416c8d5fbcae4	2013-05-13	2	0	2
c7383d89417b31c1655416c8d5fbcae4	2012-06-05	2	0	2
c750829e09670a1cdd6b59e4ba3e4c0d	2019-05-08	1	0	NA
c750829e09670a1cdd6b59e4ba3e4c0d	2017-10-30	1	0	1
c750829e09670a1cdd6b59e4ba3e4c0d	2014-08-01	2	0	1
c77086bf34ab0e9aad2a5f8c3a7bc391	2016-04-11	2	0	NA
c77086bf34ab0e9aad2a5f8c3a7bc391	2010-06-01	3	NA	2
c77abe89a1286656e2eff7e66d0461ef	2018-08-10	0	0	NA
c77abe89a1286656e2eff7e66d0461ef	2017-12-26	0	0	0
c77abe89a1286656e2eff7e66d0461ef	2016-03-21	1	0	0
c785d666e224dd5b52a1873e49d623e1	2013-10-25	2	0	NA
c785d666e224dd5b52a1873e49d623e1	2013-03-18	3	0	2
c785d666e224dd5b52a1873e49d623e1	2011-11-09	1	0	3
c7979d2c1911d44b18a1c2fb8c1aa3ac	2016-06-01	2	0	NA
c7979d2c1911d44b18a1c2fb8c1aa3ac	2016-04-19	3	0	2
c7a2e4e0fe64dfb6743074cacb1d7993	2018-03-19	1	0	NA
c7a2e4e0fe64dfb6743074cacb1d7993	2017-08-30	1	0	1
c7a2e4e0fe64dfb6743074cacb1d7993	2016-12-06	0	0	1
c7a2e4e0fe64dfb6743074cacb1d7993	2011-10-17	1	0	0
c7b379389ebc287f752b7f2bd5954c45	2019-07-24	5	0	NA
c7b379389ebc287f752b7f2bd5954c45	2018-08-29	6	1	5
c7b379389ebc287f752b7f2bd5954c45	2018-07-02	5	0	6
c81df65dbf73521d91ff7c65a3c7ceba	2017-02-22	3	0	NA
c81df65dbf73521d91ff7c65a3c7ceba	2016-02-04	3	0	3
c81df65dbf73521d91ff7c65a3c7ceba	2015-07-07	3	0	3
c81df65dbf73521d91ff7c65a3c7ceba	2015-04-13	2	0	3
c81df65dbf73521d91ff7c65a3c7ceba	2014-06-30	2	0	2
c81df65dbf73521d91ff7c65a3c7ceba	2014-05-20	2	0	2
c81df65dbf73521d91ff7c65a3c7ceba	2013-12-17	2	1	2
c81df65dbf73521d91ff7c65a3c7ceba	2013-08-26	1	0	2
c81df65dbf73521d91ff7c65a3c7ceba	2013-03-22	2	0	1
c81df65dbf73521d91ff7c65a3c7ceba	2013-01-02	2	0	2
c81df65dbf73521d91ff7c65a3c7ceba	2012-08-20	2	0	2
c81df65dbf73521d91ff7c65a3c7ceba	2012-07-02	2	0	2
c82e84e07a2fd2b3086da7ec608f3d9a	2015-06-16	1	0	NA
c82e84e07a2fd2b3086da7ec608f3d9a	2010-06-10	2	NA	1
c82e84e07a2fd2b3086da7ec608f3d9a	2009-12-07	1	NA	2
c8302e7243a331899c5ed2cc27afe589	2018-12-21	1	0	NA
c8302e7243a331899c5ed2cc27afe589	2018-08-31	3	0	1
c8302e7243a331899c5ed2cc27afe589	2018-02-09	1	0	3
c8302e7243a331899c5ed2cc27afe589	2017-07-12	1	0	1
c8302e7243a331899c5ed2cc27afe589	2017-05-02	1	0	1
c83b0e26dddf97e173f9e16a67dda6bd	2019-07-24	1	0	NA
c83b0e26dddf97e173f9e16a67dda6bd	2017-01-16	3	0	1
c83b0e26dddf97e173f9e16a67dda6bd	2012-01-18	3	0	3
c83b0e26dddf97e173f9e16a67dda6bd	2010-03-02	3	NA	3
c847ec950152d26cf20c64000669e35d	2013-03-14	3	0	NA
c847ec950152d26cf20c64000669e35d	2011-06-02	4	0	3
c87ed516a6a90fadec01f0fe96e21abb	2018-09-26	2	0	NA
c87ed516a6a90fadec01f0fe96e21abb	2014-06-16	2	0	2
c87ed516a6a90fadec01f0fe96e21abb	2014-06-05	2	0	2
c87ed516a6a90fadec01f0fe96e21abb	2012-06-28	2	0	2
c87ed516a6a90fadec01f0fe96e21abb	2011-12-19	4	0	2
c88adb7338160821f453299c796323d9	2019-09-09	2	0	NA
c88adb7338160821f453299c796323d9	2018-06-21	4	0	2
c8ac6673fe449df4dc4413cf8c9878b6	2014-10-01	3	0	NA
c8ac6673fe449df4dc4413cf8c9878b6	2014-02-14	4	0	3
c8ac6673fe449df4dc4413cf8c9878b6	2013-09-13	4	0	4
c8f8c91bdf66716ee7dd2be2cb125d85	2016-03-20	0	0	NA
c8f8c91bdf66716ee7dd2be2cb125d85	2015-10-07	1	0	0
c8f8c91bdf66716ee7dd2be2cb125d85	2014-03-03	0	0	1
c928a625b08cfb738477d745b95cec61	2019-04-05	0	0	NA
c928a625b08cfb738477d745b95cec61	2017-09-29	1	0	0
c94f6f0dc0d760eba2f2eda1887cacaf	2013-09-24	3	1	NA
c94f6f0dc0d760eba2f2eda1887cacaf	2013-01-08	4	0	3
c952a7b52bd90d1502f6f74db1f537bd	2019-09-30	0	0	NA
c952a7b52bd90d1502f6f74db1f537bd	2018-06-12	1	0	0
c95657ae6f6cc95a98ad11df7e6a3e14	2018-10-29	0	0	NA
c95657ae6f6cc95a98ad11df7e6a3e14	2018-06-20	0	0	0
c95657ae6f6cc95a98ad11df7e6a3e14	2014-02-03	0	0	0
c95657ae6f6cc95a98ad11df7e6a3e14	2013-04-16	0	0	0
c95657ae6f6cc95a98ad11df7e6a3e14	2013-03-05	39	0	0
c95657ae6f6cc95a98ad11df7e6a3e14	2010-08-03	0	NA	39
c95657ae6f6cc95a98ad11df7e6a3e14	2010-06-02	0	NA	0
c95cb079ef1572e1b99ab45fdfbab4bf	2012-11-26	2	0	NA
c95cb079ef1572e1b99ab45fdfbab4bf	2012-02-24	3	0	2
c9674ce87bea1d262e9f3e3ce318666c	2019-09-02	3	0	NA
c9674ce87bea1d262e9f3e3ce318666c	2018-09-04	1	0	3
c9674ce87bea1d262e9f3e3ce318666c	2015-01-09	3	0	1
c99b792ad605b02ed9c06f022167f91d	2013-11-01	4	0	NA
c99b792ad605b02ed9c06f022167f91d	2013-06-12	4	0	4
c99b792ad605b02ed9c06f022167f91d	2011-09-23	1	0	4
c99b792ad605b02ed9c06f022167f91d	2011-03-28	4	0	1
c9adab764de821bd3da4689ecad5d0d8	2015-01-30	3	1	NA
c9adab764de821bd3da4689ecad5d0d8	2015-01-07	4	0	3
c9bb6f67816dc9b3bdfad50617829a58	2017-08-16	4	0	NA
c9bb6f67816dc9b3bdfad50617829a58	2016-06-30	5	0	4
c9bb6f67816dc9b3bdfad50617829a58	2014-11-10	2	0	5
c9d285deb0bf289b9ca38767c7d774c4	2015-11-02	0	0	NA
c9d285deb0bf289b9ca38767c7d774c4	2012-06-07	1	1	0
c9d285deb0bf289b9ca38767c7d774c4	2011-10-27	1	1	1
c9d285deb0bf289b9ca38767c7d774c4	2010-07-30	1	NA	1
c9f9061d3b31609c2aa41b2587c4adc6	2013-01-02	3	0	NA
c9f9061d3b31609c2aa41b2587c4adc6	2008-04-03	4	NA	3
ca06bdeb02b39c1e9c0c267d84a8983b	2013-01-02	0	0	NA
ca06bdeb02b39c1e9c0c267d84a8983b	2011-12-06	2	0	0
ca7c8cf1c31346c09b52ef1763141472	2015-10-01	2	0	NA
ca7c8cf1c31346c09b52ef1763141472	2011-08-12	4	0	2
ca88c4caad41408cb63b0a0dfba451b3	2016-05-14	3	0	NA
ca88c4caad41408cb63b0a0dfba451b3	2016-04-21	0	0	3
ca88c4caad41408cb63b0a0dfba451b3	2015-08-18	2	0	0
ca88c4caad41408cb63b0a0dfba451b3	2015-05-06	2	0	2
ca88c4caad41408cb63b0a0dfba451b3	2014-10-24	2	0	2
ca8cb410a0cddfb59303697be0f4b92f	2018-04-20	2	0	NA
ca8cb410a0cddfb59303697be0f4b92f	2017-12-02	3	0	2
ca8d7e27c8134a5ed2485321394b902a	2016-03-15	0	0	NA
ca8d7e27c8134a5ed2485321394b902a	2014-04-01	2	0	0
ca8d7e27c8134a5ed2485321394b902a	2014-03-14	2	0	2
ca8d7e27c8134a5ed2485321394b902a	2012-07-19	1	0	2
cab5350cd0bdde12df29f406d8dcb684	2016-06-08	3	0	NA
cab5350cd0bdde12df29f406d8dcb684	2015-06-22	0	0	3
cab5350cd0bdde12df29f406d8dcb684	2012-05-10	3	0	0
cab5350cd0bdde12df29f406d8dcb684	2012-03-14	3	0	3
caba156e99e8409b7e5ca74364eb00a6	2014-03-11	0	0	NA
caba156e99e8409b7e5ca74364eb00a6	2012-07-10	2	0	0
cadfa0f8bd2d9ae3b36a25b3ac79f5c2	2019-08-06	1	0	NA
cadfa0f8bd2d9ae3b36a25b3ac79f5c2	2017-05-18	3	0	1
cadfa0f8bd2d9ae3b36a25b3ac79f5c2	2014-07-08	3	0	3
cadffa0934749138a926e820e2c020b0	2014-01-07	1	0	NA
cadffa0934749138a926e820e2c020b0	2012-05-01	2	0	1
cae3ce4f0d72b2bc5caec9bb0c248cbb	2015-03-18	0	0	NA
cae3ce4f0d72b2bc5caec9bb0c248cbb	2014-09-03	3	0	0
cb0ee2d4e4c684644eaabe2fb5243646	2011-04-04	0	0	NA
cb0ee2d4e4c684644eaabe2fb5243646	2010-01-12	1	NA	0
cb1c1d0b034e9d15aadacf5b4954b8dc	2015-02-13	5	0	NA
cb1c1d0b034e9d15aadacf5b4954b8dc	2014-11-26	5	0	5
cb1c1d0b034e9d15aadacf5b4954b8dc	2013-12-19	4	1	5
cb1c1d0b034e9d15aadacf5b4954b8dc	2013-12-05	5	0	4
cb1c1d0b034e9d15aadacf5b4954b8dc	2013-09-02	5	0	5
cb1c1d0b034e9d15aadacf5b4954b8dc	2013-07-30	5	0	5
cb1c1d0b034e9d15aadacf5b4954b8dc	2013-07-22	5	0	5
cb2bece5f3b04d58bfad44afe6a882b7	2017-07-26	2	0	NA
cb2bece5f3b04d58bfad44afe6a882b7	2013-06-11	3	0	2
cb2bece5f3b04d58bfad44afe6a882b7	2010-01-04	3	NA	3
cb9740537bd0987e899891b73d2a4e37	2015-05-01	1	0	NA
cb9740537bd0987e899891b73d2a4e37	2012-01-04	4	0	1
cb9bea60baf6a0e8b6f64af65286092e	2016-12-12	3	0	NA
cb9bea60baf6a0e8b6f64af65286092e	2011-09-01	6	0	3
cb9bea60baf6a0e8b6f64af65286092e	2011-06-07	1	1	6
cb9c0b78dc2360d162b6a2df1ecfb319	2019-06-12	0	0	NA
cb9c0b78dc2360d162b6a2df1ecfb319	2018-12-11	2	0	0
cb9c0b78dc2360d162b6a2df1ecfb319	2018-11-07	0	0	2
cb9c0b78dc2360d162b6a2df1ecfb319	2016-07-07	2	0	0
cb9c0b78dc2360d162b6a2df1ecfb319	2014-11-25	2	0	2
cb9c0b78dc2360d162b6a2df1ecfb319	2014-05-15	1	0	2
cb9c0b78dc2360d162b6a2df1ecfb319	2011-10-25	2	0	1
cba908de33658203f3c117ea64166122	2017-05-17	4	0	NA
cba908de33658203f3c117ea64166122	2015-08-14	3	0	4
cba908de33658203f3c117ea64166122	2014-04-07	5	0	3
cbf84c15be2fc34a93846d0db1059c3d	2017-10-30	4	0	NA
cbf84c15be2fc34a93846d0db1059c3d	2016-04-05	5	0	4
cc00373b3c67a5b75a3a34d4db71152d	2016-04-12	3	0	NA
cc00373b3c67a5b75a3a34d4db71152d	2012-01-24	4	0	3
cc08ab75ed2cbd37448e973b4b407b6a	2019-08-19	3	1	NA
cc08ab75ed2cbd37448e973b4b407b6a	2019-03-04	4	0	3
cc08ab75ed2cbd37448e973b4b407b6a	2017-06-28	4	0	4
cc08ab75ed2cbd37448e973b4b407b6a	2017-04-18	4	0	4
cc08ab75ed2cbd37448e973b4b407b6a	2016-06-17	4	0	4
cc08ab75ed2cbd37448e973b4b407b6a	2013-10-10	2	0	4
cc27634adccb99cb467c91d0d9620349	2016-04-20	0	0	NA
cc27634adccb99cb467c91d0d9620349	2015-06-05	2	0	0
cc27634adccb99cb467c91d0d9620349	2014-07-29	2	0	2
cc27634adccb99cb467c91d0d9620349	2014-05-05	0	0	2
cc35e1f198b88adec7fb4f77a29fe359	2018-02-12	1	1	NA
cc35e1f198b88adec7fb4f77a29fe359	2017-02-17	1	0	1
cc35e1f198b88adec7fb4f77a29fe359	2014-02-12	1	5	1
cc35e1f198b88adec7fb4f77a29fe359	2013-03-27	2	0	1
cc54fe7ed2181ed9de75934106743706	2018-02-20	0	0	NA
cc54fe7ed2181ed9de75934106743706	2015-06-15	1	0	0
cc9475e78df26d575150cc078d682c7c	2015-02-12	2	0	NA
cc9475e78df26d575150cc078d682c7c	2014-12-15	3	0	2
cc9475e78df26d575150cc078d682c7c	2014-01-14	2	0	3
ccb0cd0110ca5e59fd90a109117c21f7	2018-04-13	1	0	NA
ccb0cd0110ca5e59fd90a109117c21f7	2018-02-19	0	0	1
ccb0cd0110ca5e59fd90a109117c21f7	2016-11-25	1	0	0
cce63de713ea416e5a7b2370df78562d	2012-05-14	2	0	NA
cce63de713ea416e5a7b2370df78562d	2011-09-01	1	0	2
cce63de713ea416e5a7b2370df78562d	2011-05-11	2	0	1
cd3f2d19572fb52afeabe68a60fdb013	2019-03-22	1	0	NA
cd3f2d19572fb52afeabe68a60fdb013	2018-03-29	2	0	1
cd3f2d19572fb52afeabe68a60fdb013	2012-05-08	1	0	2
cd5ab28ad842d4dd604ebf759cc4aebd	2017-06-27	4	0	NA
cd5ab28ad842d4dd604ebf759cc4aebd	2017-03-20	1	0	4
cd5ab28ad842d4dd604ebf759cc4aebd	2016-06-07	0	0	1
cd5ab28ad842d4dd604ebf759cc4aebd	2016-04-11	4	0	0
cd6ea35c7f3268a53dc476a746af5f67	2015-09-08	1	0	NA
cd6ea35c7f3268a53dc476a746af5f67	2013-05-22	9	0	1
cd7a8c5bfb4697a291ccd25a75623a07	2011-06-06	0	0	NA
cd7a8c5bfb4697a291ccd25a75623a07	2011-03-30	1	1	0
cde1c38d4fc7331c51315fbfbf00b36d	2019-09-09	2	0	NA
cde1c38d4fc7331c51315fbfbf00b36d	2017-02-01	3	0	2
cdfe0816f04b2050d2f5b64ea71894a5	2014-07-15	1	0	NA
cdfe0816f04b2050d2f5b64ea71894a5	2013-03-18	4	0	1
ce105e43a68234108a760192be190fbf	2017-08-15	1	0	NA
ce105e43a68234108a760192be190fbf	2017-01-24	26	0	1
ce384c1969897858deb2ca687325b8d7	2019-02-25	5	0	NA
ce384c1969897858deb2ca687325b8d7	2016-01-14	1	0	5
ce384c1969897858deb2ca687325b8d7	2013-03-05	4	0	1
ce384c1969897858deb2ca687325b8d7	2012-03-15	3	1	4
ce5a7cf305a9b47d4bbbd9ba55125730	2017-08-08	2	0	NA
ce5a7cf305a9b47d4bbbd9ba55125730	2017-05-17	3	0	2
ceb0217a22428f5a090dd4c1496d4fc9	2017-07-05	0	0	NA
ceb0217a22428f5a090dd4c1496d4fc9	2016-09-09	1	0	0
cebe1f9dd2ca048dc7e93a383757e846	2011-08-04	0	0	NA
cebe1f9dd2ca048dc7e93a383757e846	2010-10-20	1	NA	0
ceca9daba3479b1f08f883559bb9c122	2018-11-01	5	0	NA
ceca9daba3479b1f08f883559bb9c122	2018-10-01	3	0	5
ceca9daba3479b1f08f883559bb9c122	2017-08-29	5	0	3
ceca9daba3479b1f08f883559bb9c122	2011-09-22	4	0	5
ced641cb9b2d7589ef8b4ab103e07c4d	2017-10-02	1	0	NA
ced641cb9b2d7589ef8b4ab103e07c4d	2017-07-20	4	0	1
cf125f9468c945d3a79a2eb27669e827	2013-01-17	1	0	NA
cf125f9468c945d3a79a2eb27669e827	2012-10-10	2	0	1
cf36a78609bef4f862276ac9348f02d5	2011-04-12	2	0	NA
cf36a78609bef4f862276ac9348f02d5	2009-09-24	3	NA	2
cf3e29c4f5a9fa5e22b3052f7d3ac3e2	2015-01-19	2	0	NA
cf3e29c4f5a9fa5e22b3052f7d3ac3e2	2014-05-12	3	0	2
cf3e29c4f5a9fa5e22b3052f7d3ac3e2	2014-02-25	2	0	3
cf3e29c4f5a9fa5e22b3052f7d3ac3e2	2013-03-11	1	0	2
cf4879881c6070ce30da56376ea9f5e3	2019-04-29	1	0	NA
cf4879881c6070ce30da56376ea9f5e3	2018-11-26	2	0	1
cf4879881c6070ce30da56376ea9f5e3	2017-10-16	2	0	2
cf4879881c6070ce30da56376ea9f5e3	2016-03-07	2	0	2
cf4879881c6070ce30da56376ea9f5e3	2014-03-31	0	0	2
cf6205d7d2be24b4d6d1ee87fce9b8f4	2011-12-01	1	0	NA
cf6205d7d2be24b4d6d1ee87fce9b8f4	2011-11-01	2	0	1
cf9c307313767bbaa312f1b109fc1ba1	2017-04-12	1	0	NA
cf9c307313767bbaa312f1b109fc1ba1	2015-12-11	5	0	1
cfd526974c97ed7f2373db2f4d99d81b	2017-03-01	0	0	NA
cfd526974c97ed7f2373db2f4d99d81b	2016-06-28	3	0	0
cfea709df69b98a834a4c986d7c30df6	2018-05-09	0	0	NA
cfea709df69b98a834a4c986d7c30df6	2017-12-28	3	0	0
cfed2ca04992f56e380cb81313d512b9	2019-01-18	3	0	NA
cfed2ca04992f56e380cb81313d512b9	2018-05-22	5	0	3
cfedd433dc51a79dfcaeaddb356b1a3c	2013-12-06	0	0	NA
cfedd433dc51a79dfcaeaddb356b1a3c	2013-06-13	1	0	0
d0191f50035db7ae3f56ae5bcb01b91d	2016-12-19	2	1	NA
d0191f50035db7ae3f56ae5bcb01b91d	2013-06-03	3	0	2
d0420152eb6689f74898bdf51dfd600c	2019-03-06	2	0	NA
d0420152eb6689f74898bdf51dfd600c	2019-01-30	3	0	2
d0420152eb6689f74898bdf51dfd600c	2009-08-17	3	NA	3
d0464a9ac9cbfa4fd5d6d5c9f6aefa83	2015-05-01	3	0	NA
d0464a9ac9cbfa4fd5d6d5c9f6aefa83	2010-10-04	4	NA	3
d07d96077952cc2e3e93540830849622	2019-05-03	4	0	NA
d07d96077952cc2e3e93540830849622	2018-01-19	4	0	4
d07d96077952cc2e3e93540830849622	2015-12-17	4	0	4
d07d96077952cc2e3e93540830849622	2012-11-28	3	0	4
d07d96077952cc2e3e93540830849622	2012-01-18	0	0	3
d07d96077952cc2e3e93540830849622	2009-10-01	4	NA	0
d089191ef44c4add4381ae5b8a3bf71e	2018-08-31	2	0	NA
d089191ef44c4add4381ae5b8a3bf71e	2015-05-29	1	0	2
d089191ef44c4add4381ae5b8a3bf71e	2013-12-18	2	0	1
d0a8928208c3c307f157a810c6e62f48	2019-10-24	0	0	NA
d0a8928208c3c307f157a810c6e62f48	2018-07-09	1	0	0
d0b60722517733f850a82cb46fbaea16	2012-11-07	4	0	NA
d0b60722517733f850a82cb46fbaea16	2011-04-04	6	0	4
d0ba7ad11d9bb1b1c84c30335ad76514	2016-03-15	1	0	NA
d0ba7ad11d9bb1b1c84c30335ad76514	2013-09-04	1	0	1
d0ba7ad11d9bb1b1c84c30335ad76514	2013-04-03	1	0	1
d0ba7ad11d9bb1b1c84c30335ad76514	2012-10-10	0	0	1
d0ba7ad11d9bb1b1c84c30335ad76514	2012-09-25	1	0	0
d0ba7ad11d9bb1b1c84c30335ad76514	2011-02-25	1	0	1
d0ba7ad11d9bb1b1c84c30335ad76514	2010-10-28	1	NA	1
d0c04212debbe8ac03f0e473daece5b9	2017-10-04	0	0	NA
d0c04212debbe8ac03f0e473daece5b9	2017-07-25	1	0	0
d0c04212debbe8ac03f0e473daece5b9	2016-08-01	1	0	1
d0c04212debbe8ac03f0e473daece5b9	2016-05-04	1	0	1
d0d690fc3ff12d1b2d4ee1e8e856fdea	2019-04-11	2	0	NA
d0d690fc3ff12d1b2d4ee1e8e856fdea	2018-12-07	3	0	2
d0d690fc3ff12d1b2d4ee1e8e856fdea	2018-07-11	2	0	3
d0df996310c6623a4f693a2ad80982d8	2014-01-06	2	0	NA
d0df996310c6623a4f693a2ad80982d8	2013-08-13	0	0	2
d0df996310c6623a4f693a2ad80982d8	2013-04-04	1	0	0
d0e5ca9fc48d5df008fea08345ed79e8	2016-05-12	3	0	NA
d0e5ca9fc48d5df008fea08345ed79e8	2015-10-29	4	0	3
d0efcf1f6986bacb9efe9a1f695d1391	2016-02-05	4	0	NA
d0efcf1f6986bacb9efe9a1f695d1391	2015-12-02	4	0	4
d0efcf1f6986bacb9efe9a1f695d1391	2015-02-10	5	0	4
d1466ff0f191f2e7cee20057d951edb5	2014-05-29	2	0	NA
d1466ff0f191f2e7cee20057d951edb5	2012-08-01	3	0	2
d16c02970f1f5603af00192a9323278a	2017-07-11	3	0	NA
d16c02970f1f5603af00192a9323278a	2010-06-01	4	NA	3
d18026c2ca3ae8a7c7c7c70655e93d48	2016-12-27	0	0	NA
d18026c2ca3ae8a7c7c7c70655e93d48	2014-05-07	3	0	0
d18026c2ca3ae8a7c7c7c70655e93d48	2013-10-01	3	0	3
d18026c2ca3ae8a7c7c7c70655e93d48	2013-05-15	3	0	3
d1b9d1412fea794d43cd8f590ce33e52	2014-01-30	0	0	NA
d1b9d1412fea794d43cd8f590ce33e52	2012-12-13	1	0	0
d1d9aecef699d1942306c005c9974b09	2013-10-01	1	0	NA
d1d9aecef699d1942306c005c9974b09	2012-06-28	2	0	1
d1e0520da04c1f1346c16093b8d1cb95	2019-03-27	0	0	NA
d1e0520da04c1f1346c16093b8d1cb95	2018-09-25	0	0	0
d1e0520da04c1f1346c16093b8d1cb95	2016-04-01	0	0	0
d1e0520da04c1f1346c16093b8d1cb95	2015-12-10	1	0	0
d1e0520da04c1f1346c16093b8d1cb95	2013-07-01	0	0	1
d1e0520da04c1f1346c16093b8d1cb95	2011-07-07	0	0	0
d1e0520da04c1f1346c16093b8d1cb95	2009-09-24	0	NA	0
d1f0fac4531b0151e1c4cf9338387cc2	2016-03-07	5	0	NA
d1f0fac4531b0151e1c4cf9338387cc2	2015-06-30	6	0	5
d1f0fac4531b0151e1c4cf9338387cc2	2014-09-05	6	0	6
d20e0e16d9c94fca075ffe8474753d5e	2019-08-01	3	0	NA
d20e0e16d9c94fca075ffe8474753d5e	2016-03-08	4	0	3
d2140303e4c703af319b55a4b1c10cce	2017-05-09	1	0	NA
d2140303e4c703af319b55a4b1c10cce	2016-06-29	1	0	1
d2140303e4c703af319b55a4b1c10cce	2015-09-04	1	0	1
d2140303e4c703af319b55a4b1c10cce	2015-01-30	2	0	1
d2140303e4c703af319b55a4b1c10cce	2013-11-06	1	0	2
d2178e57e1f6182b51b2003d77dd9bdb	2014-08-29	0	0	NA
d2178e57e1f6182b51b2003d77dd9bdb	2010-09-16	1	NA	0
d241223a51b7708336f94b808e10cb01	2017-04-03	2	0	NA
d241223a51b7708336f94b808e10cb01	2014-07-22	3	0	2
d2470f8d8cf22926041d0d3eca9c467f	2017-10-23	8	0	NA
d2470f8d8cf22926041d0d3eca9c467f	2015-04-07	9	0	8
d24b42ff755b56a4c5f8383a004517d1	2017-12-06	4	0	NA
d24b42ff755b56a4c5f8383a004517d1	2016-08-12	3	0	4
d24b42ff755b56a4c5f8383a004517d1	2016-01-28	5	0	3
d24c6832e804420e654002757b30828e	2017-05-09	0	0	NA
d24c6832e804420e654002757b30828e	2017-03-29	0	0	0
d24c6832e804420e654002757b30828e	2017-03-01	0	0	0
d24c6832e804420e654002757b30828e	2013-12-19	1	0	0
d28da5d0b9b3c41f0720073877535bc6	2019-02-18	1	0	NA
d28da5d0b9b3c41f0720073877535bc6	2018-04-23	2	0	1
d28da5d0b9b3c41f0720073877535bc6	2014-04-02	2	0	2
d2af930fee678a6996035fbbf30d525e	2017-11-30	2	0	NA
d2af930fee678a6996035fbbf30d525e	2017-04-03	4	0	2
d2af930fee678a6996035fbbf30d525e	2015-03-11	3	0	4
d2b17141c68424beb4cd4aab59d0bcb5	2016-03-15	0	0	NA
d2b17141c68424beb4cd4aab59d0bcb5	2014-02-18	2	0	0
d2b17141c68424beb4cd4aab59d0bcb5	2013-01-24	0	0	2
d2b17141c68424beb4cd4aab59d0bcb5	2012-01-24	0	0	0
d2cbe09ecb3e529c22917db0745dd6e1	2016-09-27	3	0	NA
d2cbe09ecb3e529c22917db0745dd6e1	2015-06-01	1	0	3
d2cbe09ecb3e529c22917db0745dd6e1	2010-08-06	2	NA	1
d365a9d7619c4412ea780420b71b78d2	2019-09-11	0	0	NA
d365a9d7619c4412ea780420b71b78d2	2012-02-14	1	0	0
d370a82c2517a9b940f1f8b1d620728a	2018-06-01	1	0	NA
d370a82c2517a9b940f1f8b1d620728a	2017-04-27	2	0	1
d370a82c2517a9b940f1f8b1d620728a	2016-02-25	0	0	2
d375edb930e2d3f4517f2307200b1cf2	2019-09-03	1	0	NA
d375edb930e2d3f4517f2307200b1cf2	2019-07-15	1	1	1
d375edb930e2d3f4517f2307200b1cf2	2019-03-05	1	0	1
d375edb930e2d3f4517f2307200b1cf2	2018-12-27	1	0	1
d375edb930e2d3f4517f2307200b1cf2	2017-11-28	1	0	1
d375edb930e2d3f4517f2307200b1cf2	2017-04-17	1	0	1
d375edb930e2d3f4517f2307200b1cf2	2015-07-28	2	0	1
d375edb930e2d3f4517f2307200b1cf2	2013-09-24	2	0	2
d375edb930e2d3f4517f2307200b1cf2	2013-06-13	2	0	2
d375edb930e2d3f4517f2307200b1cf2	2010-05-25	1	NA	2
d375edb930e2d3f4517f2307200b1cf2	2009-10-26	1	NA	1
d392a4f756d2f03b536193fff88f3e09	2017-12-29	4	0	NA
d392a4f756d2f03b536193fff88f3e09	2015-03-25	0	0	4
d392a4f756d2f03b536193fff88f3e09	2014-02-25	6	0	0
d392a4f756d2f03b536193fff88f3e09	2012-05-03	6	0	6
d398c6b32e12fcbd41b355eef396cc42	2017-11-02	2	0	NA
d398c6b32e12fcbd41b355eef396cc42	2017-09-17	2	0	2
d398c6b32e12fcbd41b355eef396cc42	2017-01-04	2	0	2
d398c6b32e12fcbd41b355eef396cc42	2016-08-09	2	0	2
d398c6b32e12fcbd41b355eef396cc42	2015-11-04	1	0	2
d398c6b32e12fcbd41b355eef396cc42	2013-02-18	2	0	1
d39f42b107eaa18ae20eb94cd8e83c98	2018-08-10	2	0	NA
d39f42b107eaa18ae20eb94cd8e83c98	2017-11-06	3	0	2
d3a3e316711fdb628a5acf13eb6f58b3	2017-04-03	4	0	NA
d3a3e316711fdb628a5acf13eb6f58b3	2016-06-13	5	0	4
d3b485048cbbcef8224502eb1e71aca1	2018-11-26	1	0	NA
d3b485048cbbcef8224502eb1e71aca1	2018-07-11	2	0	1
d3b485048cbbcef8224502eb1e71aca1	2016-05-06	1	0	2
d3eb0eb85eb99224e232d6cfb12e0dcc	2016-01-15	5	0	NA
d3eb0eb85eb99224e232d6cfb12e0dcc	2015-12-18	4	0	5
d3eb0eb85eb99224e232d6cfb12e0dcc	2013-04-18	3	0	4
d3eb0eb85eb99224e232d6cfb12e0dcc	2011-02-09	5	0	3
d42ccaecd7b5b6b5f1fa1f0d24c4c25a	2016-07-27	3	0	NA
d42ccaecd7b5b6b5f1fa1f0d24c4c25a	2016-02-25	2	0	3
d42ccaecd7b5b6b5f1fa1f0d24c4c25a	2016-01-25	3	0	2
d48e0d9d16ee3231f95c59eac5864b05	2016-07-04	3	0	NA
d48e0d9d16ee3231f95c59eac5864b05	2015-04-25	4	0	3
d49d6c7ec8037dd37c22e5fadb5d82fe	2019-05-14	5	0	NA
d49d6c7ec8037dd37c22e5fadb5d82fe	2018-06-28	3	0	5
d49d6c7ec8037dd37c22e5fadb5d82fe	2016-08-29	5	0	3
d4c6c8d6e6a63587251688a5be4cd7ed	2017-07-19	2	0	NA
d4c6c8d6e6a63587251688a5be4cd7ed	2017-01-27	3	0	2
d4c6c8d6e6a63587251688a5be4cd7ed	2016-11-15	3	0	3
d4d31057e7a1f4c21175665f9f55a25f	2018-02-01	1	0	NA
d4d31057e7a1f4c21175665f9f55a25f	2017-08-01	0	0	1
d4d31057e7a1f4c21175665f9f55a25f	2012-03-14	1	0	0
d4d31057e7a1f4c21175665f9f55a25f	2011-02-10	1	0	1
d4d3730e2c3ee144b808fff6e8e847bd	2017-11-08	2	0	NA
d4d3730e2c3ee144b808fff6e8e847bd	2016-04-27	3	0	2
d4d7c225ecd38263885e88ab1782e324	2015-04-01	4	0	NA
d4d7c225ecd38263885e88ab1782e324	2014-02-19	5	0	4
d4d7c225ecd38263885e88ab1782e324	2012-03-01	4	0	5
d4ffdfad4adfdc1335c9cbc96d40c4a6	2019-06-10	3	0	NA
d4ffdfad4adfdc1335c9cbc96d40c4a6	2014-10-17	4	0	3
d4ffdfad4adfdc1335c9cbc96d40c4a6	2012-10-25	4	0	4
d4ffdfad4adfdc1335c9cbc96d40c4a6	2011-02-24	4	0	4
d4ffdfad4adfdc1335c9cbc96d40c4a6	2011-01-10	4	0	4
d5047b591988e003b08c8b3a41296614	2019-04-01	2	0	NA
d5047b591988e003b08c8b3a41296614	2018-05-17	3	0	2
d5047b591988e003b08c8b3a41296614	2017-11-03	3	0	3
d5047b591988e003b08c8b3a41296614	2017-03-01	2	0	3
d5047b591988e003b08c8b3a41296614	2015-11-26	2	0	2
d5047b591988e003b08c8b3a41296614	2015-04-21	2	0	2
d51fafe8b762b5264823e15911c786ee	2017-04-25	3	0	NA
d51fafe8b762b5264823e15911c786ee	2015-10-27	4	0	3
d52e09ddd4043e3771efa89c7d8d344a	2017-05-08	1	0	NA
d52e09ddd4043e3771efa89c7d8d344a	2011-04-12	2	0	1
d53f3f989f2396ca2e2bd4227ac93b31	2018-04-01	4	0	NA
d53f3f989f2396ca2e2bd4227ac93b31	2017-01-31	5	0	4
d5538d033007dcb15b9934240c2048ec	2013-01-10	0	0	NA
d5538d033007dcb15b9934240c2048ec	2011-11-08	1	0	0
d571b0933b03d4bc27db49d9a86d830e	2018-03-01	1	0	NA
d571b0933b03d4bc27db49d9a86d830e	2016-04-14	1	0	1
d571b0933b03d4bc27db49d9a86d830e	2014-11-04	2	0	1
d59e071789f037100eef8e5af7d41ab7	2015-01-07	2	0	NA
d59e071789f037100eef8e5af7d41ab7	2013-11-05	2	0	2
d59e071789f037100eef8e5af7d41ab7	2011-12-02	1	0	2
d59e071789f037100eef8e5af7d41ab7	2009-07-31	2	NA	1
d5bd66d7c66a07f39c068c71d518af84	2016-12-31	2	0	NA
d5bd66d7c66a07f39c068c71d518af84	2016-11-10	3	0	2
d5d07bc6a3967a4cd679f9a88f758671	2011-05-13	4	0	NA
d5d07bc6a3967a4cd679f9a88f758671	2010-10-16	3	NA	4
d5d07bc6a3967a4cd679f9a88f758671	2010-03-22	1	NA	3
d5d07bc6a3967a4cd679f9a88f758671	2010-01-04	4	NA	1
d61542e0c28a5863dd53ed04db1370af	2015-10-19	4	0	NA
d61542e0c28a5863dd53ed04db1370af	2014-12-19	4	0	4
d61542e0c28a5863dd53ed04db1370af	2014-08-18	4	0	4
d61542e0c28a5863dd53ed04db1370af	2014-02-10	0	0	4
d61542e0c28a5863dd53ed04db1370af	2013-12-17	4	0	0
d61542e0c28a5863dd53ed04db1370af	2013-03-01	2	0	4
d650de3388b733a5f968aa8b4e34bc89	2018-06-05	1	0	NA
d650de3388b733a5f968aa8b4e34bc89	2017-06-01	2	0	1
d650de3388b733a5f968aa8b4e34bc89	2015-01-06	1	0	2
d650de3388b733a5f968aa8b4e34bc89	2014-08-06	2	0	1
d650de3388b733a5f968aa8b4e34bc89	2013-06-27	2	0	2
d650de3388b733a5f968aa8b4e34bc89	2011-06-28	2	0	2
d6692e9e8fe4a22ce8b26d52e1f9b5aa	2015-05-25	2	0	NA
d6692e9e8fe4a22ce8b26d52e1f9b5aa	2014-03-14	3	0	2
d6692e9e8fe4a22ce8b26d52e1f9b5aa	2013-04-24	2	0	3
d68ff88a082b29000eec8faa5c32ed72	2019-05-28	5	0	NA
d68ff88a082b29000eec8faa5c32ed72	2014-03-03	0	0	5
d68ff88a082b29000eec8faa5c32ed72	2011-02-24	4	0	0
d6c23ba1235923e4eb78bf08edbb98f5	2013-01-07	2	0	NA
d6c23ba1235923e4eb78bf08edbb98f5	2012-05-15	3	0	2
d6ff3cf5d526fec02e0c96a1697fbbf4	2019-08-05	1	0	NA
d6ff3cf5d526fec02e0c96a1697fbbf4	2016-03-23	0	0	1
d6ff3cf5d526fec02e0c96a1697fbbf4	2013-07-05	1	0	0
d6ff3cf5d526fec02e0c96a1697fbbf4	2012-08-20	2	0	1
d6ff3cf5d526fec02e0c96a1697fbbf4	2010-02-09	1	NA	2
d731f75d1d07cfcae68ba9ba83584e16	2014-02-25	2	1	NA
d731f75d1d07cfcae68ba9ba83584e16	2013-01-29	3	0	2
d7b46eeac4c73e634c87a65f651a1239	2018-10-23	2	0	NA
d7b46eeac4c73e634c87a65f651a1239	2011-03-09	3	0	2
d7d7b3a0480ad241e586537d007a5a96	2016-04-04	0	0	NA
d7d7b3a0480ad241e586537d007a5a96	2011-10-17	1	0	0
d7ebac430791c503fde503acd4b6f816	2018-02-13	2	0	NA
d7ebac430791c503fde503acd4b6f816	2017-12-11	3	0	2
d7ebac430791c503fde503acd4b6f816	2017-10-24	2	0	3
d7ebac430791c503fde503acd4b6f816	2012-11-27	2	0	2
d7ebac430791c503fde503acd4b6f816	2012-01-19	2	0	2
d7f262d6560886657fa80b7e3f8a5a5f	2016-01-15	3	0	NA
d7f262d6560886657fa80b7e3f8a5a5f	2012-04-26	6	0	3
d7f3460ac64b1d018a1ade09aed363d7	2012-06-06	1	1	NA
d7f3460ac64b1d018a1ade09aed363d7	2011-04-11	3	1	1
d818d2644ad311073f95752d27149495	2014-05-16	2	0	NA
d818d2644ad311073f95752d27149495	2013-09-03	11	0	2
d818d2644ad311073f95752d27149495	2013-06-19	11	0	11
d89179065801fb45705b0dbcbe1f75d7	2015-09-07	3	0	NA
d89179065801fb45705b0dbcbe1f75d7	2015-03-17	4	0	3
d894c297022e0ddd26d31c49b72db992	2017-05-22	3	0	NA
d894c297022e0ddd26d31c49b72db992	2016-08-22	4	0	3
d89b46579f2486dbcf740075b8705c74	2014-04-14	3	0	NA
d89b46579f2486dbcf740075b8705c74	2014-02-27	0	0	3
d89b46579f2486dbcf740075b8705c74	2013-03-01	3	0	0
d89b46579f2486dbcf740075b8705c74	2010-11-08	3	NA	3
d8a5245396186081d2b27bdbe58d5208	2019-01-08	0	0	NA
d8a5245396186081d2b27bdbe58d5208	2018-12-03	3	0	0
d8c32a940782e51aa23197ac2d0b5237	2013-08-20	2	3	NA
d8c32a940782e51aa23197ac2d0b5237	2012-10-30	0	0	2
d8c32a940782e51aa23197ac2d0b5237	2011-10-03	2	2	0
d903cf6edebab4b17aacc0edbb4cc185	2019-06-24	1	0	NA
d903cf6edebab4b17aacc0edbb4cc185	2011-06-23	2	0	1
d920cece398e1badc9a48f0a32634445	2016-05-18	0	0	NA
d920cece398e1badc9a48f0a32634445	2015-04-24	2	0	0
d940a65cb50377638c856df54b088396	2019-01-07	1	0	NA
d940a65cb50377638c856df54b088396	2018-05-07	2	0	1
d940a65cb50377638c856df54b088396	2015-08-25	2	0	2
d9628db29651d995265c7a4cd33818de	2017-11-10	0	0	NA
d9628db29651d995265c7a4cd33818de	2014-10-07	1	0	0
d995a36ed659f60faf79dd06d0f75849	2015-03-17	0	0	NA
d995a36ed659f60faf79dd06d0f75849	2014-03-18	2	0	0
d995a36ed659f60faf79dd06d0f75849	2013-04-23	2	1	2
d9c9ce6e5107ee0ccb78f474414141ac	2013-07-15	5	0	NA
d9c9ce6e5107ee0ccb78f474414141ac	2012-03-20	5	0	5
d9c9ce6e5107ee0ccb78f474414141ac	2011-10-06	3	2	5
d9c9ce6e5107ee0ccb78f474414141ac	2011-01-28	5	0	3
d9f7cdfe9c78a24374c004400a9f81a1	2015-05-14	2	0	NA
d9f7cdfe9c78a24374c004400a9f81a1	2014-05-22	2	0	2
d9f7cdfe9c78a24374c004400a9f81a1	2013-10-08	1	0	2
d9f7cdfe9c78a24374c004400a9f81a1	2012-10-25	2	0	1
da1749e54948eca976cda64771043d92	2017-03-15	3	0	NA
da1749e54948eca976cda64771043d92	2015-09-01	2	0	3
da1749e54948eca976cda64771043d92	2014-10-20	3	0	2
da1749e54948eca976cda64771043d92	2013-06-17	3	1	3
da1749e54948eca976cda64771043d92	2013-01-31	2	0	3
da39270970ec47574aea41476048e393	2018-04-26	2	0	NA
da39270970ec47574aea41476048e393	2013-08-14	1	0	2
da39270970ec47574aea41476048e393	2011-03-15	2	0	1
dab0c932fbbe0fed72d34bbee7c528a8	2015-01-07	2	0	NA
dab0c932fbbe0fed72d34bbee7c528a8	2014-12-01	4	0	2
dac0ca2f5ea85fa307a2b8ea1be2e993	2016-05-18	3	0	NA
dac0ca2f5ea85fa307a2b8ea1be2e993	2013-11-27	3	0	3
dac0ca2f5ea85fa307a2b8ea1be2e993	2011-03-28	3	3	3
dac0ca2f5ea85fa307a2b8ea1be2e993	2011-02-04	4	0	3
dac0ca2f5ea85fa307a2b8ea1be2e993	2010-04-02	3	NA	4
dac0ca2f5ea85fa307a2b8ea1be2e993	2009-08-21	3	NA	3
daf354fd12ac86e586ecb6f03959d176	2019-08-27	0	0	NA
daf354fd12ac86e586ecb6f03959d176	2018-12-19	2	0	0
daf354fd12ac86e586ecb6f03959d176	2016-05-02	0	0	2
daf4ff219af7b69f72c7ff435deabc25	2015-08-24	2	0	NA
daf4ff219af7b69f72c7ff435deabc25	2012-08-01	3	0	2
db1a5031bbd1d12e87a110a06555a2cb	2019-07-31	0	0	NA
db1a5031bbd1d12e87a110a06555a2cb	2018-09-03	2	0	0
db1a5031bbd1d12e87a110a06555a2cb	2017-11-02	0	0	2
db1a5031bbd1d12e87a110a06555a2cb	2015-11-02	0	0	0
db1a5031bbd1d12e87a110a06555a2cb	2015-09-07	0	0	0
db1a5031bbd1d12e87a110a06555a2cb	2015-03-19	0	0	0
db1a5031bbd1d12e87a110a06555a2cb	2014-08-25	0	0	0
db1a5031bbd1d12e87a110a06555a2cb	2014-06-23	0	0	0
db1a5031bbd1d12e87a110a06555a2cb	2014-02-11	0	0	0
db7706d0d3ffb61bec2f85ee22a313ab	2019-10-11	1	0	NA
db7706d0d3ffb61bec2f85ee22a313ab	2019-03-20	4	0	1
dbc33e4180198bdb0fddeba6410b2f8c	2018-03-26	6	0	NA
dbc33e4180198bdb0fddeba6410b2f8c	2017-04-10	7	0	6
dbc33e4180198bdb0fddeba6410b2f8c	2012-07-18	5	0	7
dbc33e4180198bdb0fddeba6410b2f8c	2011-04-14	5	5	5
dbc82efaa6608d24b46c605b2b99791b	2016-02-09	0	0	NA
dbc82efaa6608d24b46c605b2b99791b	2013-03-26	2	0	0
dbde682363fa813bfa30e57651c7c81c	2019-01-02	0	0	NA
dbde682363fa813bfa30e57651c7c81c	2018-12-10	1	0	0
dc16064b40ccddb542c64b9ff25edd7e	2019-05-13	1	0	NA
dc16064b40ccddb542c64b9ff25edd7e	2016-09-26	2	0	1
dc17d1e8a0aada85123a9f44d70af2a2	2019-10-30	0	0	NA
dc17d1e8a0aada85123a9f44d70af2a2	2019-08-14	1	0	0
dc33ebeda77eabec0f793bceb2812c33	2015-05-13	3	0	NA
dc33ebeda77eabec0f793bceb2812c33	2011-09-01	4	0	3
dce58a067d6e3c357ce32c3331702b50	2018-11-26	0	0	NA
dce58a067d6e3c357ce32c3331702b50	2018-03-16	2	0	0
dceb56dba66afbc70bcb98eb632dd2c0	2011-02-16	0	0	NA
dceb56dba66afbc70bcb98eb632dd2c0	2010-10-19	1	NA	0
dcfd5918fd05664820b04e3477bedac1	2014-03-12	1	0	NA
dcfd5918fd05664820b04e3477bedac1	2013-10-08	2	0	1
dd0d42261d00273d4e19ff2a46bda4b9	2016-08-01	3	0	NA
dd0d42261d00273d4e19ff2a46bda4b9	2015-10-01	3	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2015-09-02	3	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2015-07-01	3	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2015-03-16	2	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2013-06-10	3	0	2
dd0d42261d00273d4e19ff2a46bda4b9	2012-08-24	3	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2012-07-02	3	0	3
dd0d42261d00273d4e19ff2a46bda4b9	2009-06-10	3	NA	3
dd141250b45775a6356a9490b6ff410b	2010-06-03	4	NA	NA
dd141250b45775a6356a9490b6ff410b	2009-05-28	5	NA	4
dd15061466a4f2d2912dec2fa37660bd	2019-04-01	0	0	NA
dd15061466a4f2d2912dec2fa37660bd	2018-05-03	0	0	0
dd15061466a4f2d2912dec2fa37660bd	2017-02-06	2	0	0
dd550d1ce71896cea987ae1e42373b75	2019-01-14	1	0	NA
dd550d1ce71896cea987ae1e42373b75	2018-09-24	0	0	1
dd550d1ce71896cea987ae1e42373b75	2017-07-20	1	0	0
dd550d1ce71896cea987ae1e42373b75	2015-04-09	1	0	1
dd5b908904d8fe42ed2f35a74d44b68b	2018-07-14	2	0	NA
dd5b908904d8fe42ed2f35a74d44b68b	2018-07-03	3	0	2
dd5b908904d8fe42ed2f35a74d44b68b	2017-08-02	3	0	3
dd5b908904d8fe42ed2f35a74d44b68b	2010-11-03	2	NA	3
dd5b908904d8fe42ed2f35a74d44b68b	2010-07-12	2	NA	2
dd6064db8418274531a40e2b1f9f17f4	2014-03-04	1	0	NA
dd6064db8418274531a40e2b1f9f17f4	2012-10-17	2	1	1
dd6064db8418274531a40e2b1f9f17f4	2009-10-27	1	NA	2
dd9c0c7a2809fc3c8c1cfbb4ccacbe1b	2018-03-05	2	0	NA
dd9c0c7a2809fc3c8c1cfbb4ccacbe1b	2015-10-07	3	0	2
dd9c0c7a2809fc3c8c1cfbb4ccacbe1b	2013-08-05	2	0	3
ddb93a7460cc90f37cf17ecb2390d2c1	2018-08-24	1	0	NA
ddb93a7460cc90f37cf17ecb2390d2c1	2011-05-05	2	0	1
ddc3b9de1055838d1388b0e45aac944d	2018-08-09	0	0	NA
ddc3b9de1055838d1388b0e45aac944d	2015-03-02	2	0	0
dde277f883450fb1c8d4e0a93413b2a9	2018-11-08	1	0	NA
dde277f883450fb1c8d4e0a93413b2a9	2015-04-20	2	0	1
dde277f883450fb1c8d4e0a93413b2a9	2010-02-03	0	NA	2
de03d21728af9f1323973677d23fa913	2018-06-20	3	0	NA
de03d21728af9f1323973677d23fa913	2014-08-08	3	0	3
de03d21728af9f1323973677d23fa913	2014-04-29	3	0	3
de03d21728af9f1323973677d23fa913	2014-03-04	2	0	3
de03d21728af9f1323973677d23fa913	2013-11-26	3	0	2
de3c1ab5001a20b5a88d4f75d4976862	2018-11-19	3	0	NA
de3c1ab5001a20b5a88d4f75d4976862	2018-01-03	1	0	3
de3c1ab5001a20b5a88d4f75d4976862	2017-06-20	3	1	1
de3c1ab5001a20b5a88d4f75d4976862	2017-05-25	3	0	3
de81d1b604155d61b3709e8d67392e45	2018-09-12	4	0	NA
de81d1b604155d61b3709e8d67392e45	2018-07-03	8	0	4
de81d1b604155d61b3709e8d67392e45	2014-10-15	3	0	8
de85149534bc22fe1d50eb0fc46992b4	2016-09-27	1	0	NA
de85149534bc22fe1d50eb0fc46992b4	2016-05-11	1	0	1
de85149534bc22fe1d50eb0fc46992b4	2014-04-25	0	1	1
de85149534bc22fe1d50eb0fc46992b4	2013-06-07	1	0	0
de8d6d1824c3c71813c49a97c9b2cf65	2015-01-08	1	0	NA
de8d6d1824c3c71813c49a97c9b2cf65	2014-11-12	2	0	1
de8d6d1824c3c71813c49a97c9b2cf65	2012-09-03	2	0	2
de9fee97bf99d2e7ed3c4aaa058a3db3	2017-10-02	0	0	NA
de9fee97bf99d2e7ed3c4aaa058a3db3	2016-11-04	4	0	0
de9fee97bf99d2e7ed3c4aaa058a3db3	2015-11-27	4	0	4
dea1ad93dc2c8345c8f6ac19a10bcbfd	2010-10-01	1	NA	NA
dea1ad93dc2c8345c8f6ac19a10bcbfd	2009-09-02	2	NA	1
deb4e3f1a6ecbd6698164ffc54c4182f	2018-03-14	0	0	NA
deb4e3f1a6ecbd6698164ffc54c4182f	2017-03-14	1	0	0
debfa7358f7214953e0e2ad86dbd8af4	2017-02-02	2	0	NA
debfa7358f7214953e0e2ad86dbd8af4	2016-10-11	4	0	2
def9b426a9cbe5773a2b96bc6fa7c9ee	2015-03-04	2	0	NA
def9b426a9cbe5773a2b96bc6fa7c9ee	2014-05-20	3	0	2
df3aae0ada04fba882396007fb2c286a	2014-05-02	3	0	NA
df3aae0ada04fba882396007fb2c286a	2013-06-05	2	0	3
df3aae0ada04fba882396007fb2c286a	2012-11-26	3	0	2
df3aae0ada04fba882396007fb2c286a	2012-01-06	2	0	3
df3cf171bf48d593273a3e1e11466db8	2010-03-01	2	NA	NA
df3cf171bf48d593273a3e1e11466db8	2009-08-17	3	NA	2
df3d6d8186b57b0361cd8774607e00ae	2019-04-15	2	0	NA
df3d6d8186b57b0361cd8774607e00ae	2019-03-01	1	0	2
df3d6d8186b57b0361cd8774607e00ae	2018-11-13	2	0	1
df479d82b4a66e316e1b9e68ecad5c51	2014-07-21	2	0	NA
df479d82b4a66e316e1b9e68ecad5c51	2013-04-29	3	0	2
df57c9338c49ff2d865a3b2cdde40a57	2018-09-25	1	0	NA
df57c9338c49ff2d865a3b2cdde40a57	2018-02-28	1	0	1
df57c9338c49ff2d865a3b2cdde40a57	2015-02-19	0	0	1
df57c9338c49ff2d865a3b2cdde40a57	2014-03-25	1	0	0
df57c9338c49ff2d865a3b2cdde40a57	2014-01-21	1	0	1
df57c9338c49ff2d865a3b2cdde40a57	2012-07-25	1	0	1
df57c9338c49ff2d865a3b2cdde40a57	2012-01-26	1	1	1
df57c9338c49ff2d865a3b2cdde40a57	2011-06-15	1	1	1
df6148ce34b5e919ba266b5d0e97806e	2019-04-01	4	0	NA
df6148ce34b5e919ba266b5d0e97806e	2016-02-04	4	0	4
df6148ce34b5e919ba266b5d0e97806e	2013-02-26	4	0	4
df6148ce34b5e919ba266b5d0e97806e	2011-10-24	4	0	4
df6148ce34b5e919ba266b5d0e97806e	2011-09-08	3	0	4
df6148ce34b5e919ba266b5d0e97806e	2010-10-14	4	NA	3
df696d29458f4ea23b4f8e5710fef086	2019-02-25	2	0	NA
df696d29458f4ea23b4f8e5710fef086	2019-02-04	2	0	2
df696d29458f4ea23b4f8e5710fef086	2011-04-18	6	0	2
df78aa19e2c3213b38e64877b149c154	2017-09-02	1	0	NA
df78aa19e2c3213b38e64877b149c154	2017-07-03	3	0	1
df78aa19e2c3213b38e64877b149c154	2014-11-17	3	0	3
df8af13efcbdc722453c2ac069bf5c9d	2017-05-10	2	0	NA
df8af13efcbdc722453c2ac069bf5c9d	2016-07-26	4	0	2
df8af13efcbdc722453c2ac069bf5c9d	2016-04-15	4	0	4
df96522ec9654c498293848749fd02ee	2018-05-28	3	0	NA
df96522ec9654c498293848749fd02ee	2017-04-12	4	0	3
df96522ec9654c498293848749fd02ee	2016-04-27	4	0	4
df96522ec9654c498293848749fd02ee	2015-03-09	2	0	4
dfb0b982b187c03d1cebb7c542a421b0	2016-07-04	0	0	NA
dfb0b982b187c03d1cebb7c542a421b0	2013-03-05	1	0	0
dfb0b982b187c03d1cebb7c542a421b0	2012-01-10	2	0	1
dfb0b982b187c03d1cebb7c542a421b0	2010-11-22	2	NA	2
dfb6db78ae71a13274f19871c882f258	2015-07-10	2	0	NA
dfb6db78ae71a13274f19871c882f258	2015-03-11	3	0	2
dfdd253a2a8f7cbdd864d3b17741b39c	2016-01-18	0	0	NA
dfdd253a2a8f7cbdd864d3b17741b39c	2015-06-04	1	0	0
dfdd253a2a8f7cbdd864d3b17741b39c	2015-01-01	0	0	1
dffb94ac284579a6a43fab7a1e78ec9b	2013-09-24	2	0	NA
dffb94ac284579a6a43fab7a1e78ec9b	2013-07-17	3	0	2
e01319ad0f88f071df81d772d9201719	2015-02-16	5	0	NA
e01319ad0f88f071df81d772d9201719	2011-01-04	6	0	5
e0236ac4932bf8d740986b4c20febbd0	2016-04-13	1	0	NA
e0236ac4932bf8d740986b4c20febbd0	2013-02-25	5	0	1
e04a4731be403fc6e8318742bd5e76f2	2014-08-05	0	0	NA
e04a4731be403fc6e8318742bd5e76f2	2013-11-08	0	0	0
e04a4731be403fc6e8318742bd5e76f2	2012-11-01	1	0	0
e06684a4c6206d4f2e23313b3f0c6191	2019-02-27	2	0	NA
e06684a4c6206d4f2e23313b3f0c6191	2018-05-29	3	0	2
e077e374c83208b660c4e6429d5b8f0a	2019-08-19	3	0	NA
e077e374c83208b660c4e6429d5b8f0a	2019-05-15	1	0	3
e077e374c83208b660c4e6429d5b8f0a	2018-05-10	3	0	1
e077e374c83208b660c4e6429d5b8f0a	2017-04-26	2	0	3
e077e374c83208b660c4e6429d5b8f0a	2015-08-08	2	0	2
e077e374c83208b660c4e6429d5b8f0a	2014-05-13	2	0	2
e096b3bf0dcee078d015042e181fe856	2012-08-07	0	0	NA
e096b3bf0dcee078d015042e181fe856	2012-01-17	1	0	0
e0c93a86fd86ed365dc7dfd6674cd36b	2019-10-02	6	0	NA
e0c93a86fd86ed365dc7dfd6674cd36b	2019-01-30	5	0	6
e0c93a86fd86ed365dc7dfd6674cd36b	2009-08-19	6	NA	5
e10686569b3489611a835d26f97188d1	2018-08-14	1	0	NA
e10686569b3489611a835d26f97188d1	2014-02-17	5	0	1
e12f73d5fc6c7dfad888eb6272f09695	2015-01-08	3	0	NA
e12f73d5fc6c7dfad888eb6272f09695	2015-01-07	2	0	3
e12f73d5fc6c7dfad888eb6272f09695	2013-06-20	3	0	2
e136c94068998403e9b406ab0ede9aa5	2016-08-22	1	0	NA
e136c94068998403e9b406ab0ede9aa5	2016-04-01	2	0	1
e14db029e70bfe18c8ff522da2c797e6	2018-07-20	1	0	NA
e14db029e70bfe18c8ff522da2c797e6	2014-11-24	12	0	1
e14db029e70bfe18c8ff522da2c797e6	2013-08-12	1	0	12
e14db029e70bfe18c8ff522da2c797e6	2010-04-07	2	NA	1
e14e27f1b4f4d457cc26f3b12c8ac2c7	2016-05-10	0	0	NA
e14e27f1b4f4d457cc26f3b12c8ac2c7	2014-06-05	0	0	0
e14e27f1b4f4d457cc26f3b12c8ac2c7	2009-09-08	1	NA	0
e17e5d7ebf1a35390641d0baea11644f	2017-07-18	4	0	NA
e17e5d7ebf1a35390641d0baea11644f	2017-02-06	5	0	4
e17e5d7ebf1a35390641d0baea11644f	2010-11-01	0	NA	5
e1914e6fe6678526fb57882412fe68b7	2013-07-18	2	0	NA
e1914e6fe6678526fb57882412fe68b7	2013-06-24	3	0	2
e198b3de575a8f24387fbead9c26048b	2019-10-18	2	0	NA
e198b3de575a8f24387fbead9c26048b	2017-12-29	5	0	2
e1b54a1f81fcf75e9ee46678d4d6e897	2018-11-29	1	0	NA
e1b54a1f81fcf75e9ee46678d4d6e897	2017-01-26	1	0	1
e1b54a1f81fcf75e9ee46678d4d6e897	2016-12-31	0	0	1
e1b54a1f81fcf75e9ee46678d4d6e897	2016-06-30	1	0	0
e1b54a1f81fcf75e9ee46678d4d6e897	2012-11-01	1	0	1
e1b54a1f81fcf75e9ee46678d4d6e897	2012-02-14	1	0	1
e1b54a1f81fcf75e9ee46678d4d6e897	2012-01-02	1	0	1
e1b9bc97190d0dae8f5f3f590738efe8	2012-08-09	0	0	NA
e1b9bc97190d0dae8f5f3f590738efe8	2012-03-08	1	0	0
e1bab70924f7f358e8a2132d084c91e0	2016-04-26	3	0	NA
e1bab70924f7f358e8a2132d084c91e0	2015-07-20	4	0	3
e1bab70924f7f358e8a2132d084c91e0	2013-03-20	3	0	4
e1e35fee2a752b2688db17b49c028424	2018-02-02	1	0	NA
e1e35fee2a752b2688db17b49c028424	2017-12-13	1	0	1
e1e35fee2a752b2688db17b49c028424	2017-02-06	2	0	1
e1e35fee2a752b2688db17b49c028424	2015-01-28	2	0	2
e234ed5389663e4417557c7adc2bc7bb	2019-07-24	2	0	NA
e234ed5389663e4417557c7adc2bc7bb	2019-02-04	3	0	2
e234ed5389663e4417557c7adc2bc7bb	2016-10-03	3	0	3
e23a1fefbdcb4d3aadf3bccab1c43d9a	2019-02-08	6	0	NA
e23a1fefbdcb4d3aadf3bccab1c43d9a	2019-01-08	7	0	6
e23a1fefbdcb4d3aadf3bccab1c43d9a	2018-11-16	7	0	7
e23a1fefbdcb4d3aadf3bccab1c43d9a	2018-03-05	7	0	7
e24d71585e2597feb9c73600b5535918	2018-02-14	0	0	NA
e24d71585e2597feb9c73600b5535918	2016-05-02	2	0	0
e24d71585e2597feb9c73600b5535918	2015-07-30	2	0	2
e24d71585e2597feb9c73600b5535918	2015-04-28	2	0	2
e24d71585e2597feb9c73600b5535918	2012-04-09	2	0	2
e250d7dd550947aef456f20bcfcc82de	2015-06-01	1	0	NA
e250d7dd550947aef456f20bcfcc82de	2011-12-29	3	0	1
e261c1acb19ae39397d557ec68625491	2018-11-14	0	0	NA
e261c1acb19ae39397d557ec68625491	2017-11-14	2	0	0
e26ec3aa1a9c1804cf0b7dcc5b99e142	2015-02-02	2	0	NA
e26ec3aa1a9c1804cf0b7dcc5b99e142	2012-11-15	3	0	2
e272b72ceeaadcfba7b503080346a643	2019-05-01	1	0	NA
e272b72ceeaadcfba7b503080346a643	2018-12-28	2	0	1
e27dd200429dcd6f09e6792b76a63347	2015-03-09	5	0	NA
e27dd200429dcd6f09e6792b76a63347	2014-03-27	6	1	5
e28c1e3ab7959e3f663c0177abe0e67f	2019-01-02	3	0	NA
e28c1e3ab7959e3f663c0177abe0e67f	2018-11-29	2	1	3
e28c1e3ab7959e3f663c0177abe0e67f	2018-05-15	1	0	2
e28c1e3ab7959e3f663c0177abe0e67f	2017-09-29	1	0	1
e28c1e3ab7959e3f663c0177abe0e67f	2017-05-09	3	0	1
e28c1e3ab7959e3f663c0177abe0e67f	2010-04-27	2	NA	3
e28c1e3ab7959e3f663c0177abe0e67f	2010-02-15	2	NA	2
e29202e2106924d502d6e5c645d85436	2015-06-03	1	0	NA
e29202e2106924d502d6e5c645d85436	2010-12-14	2	NA	1
e29403d8ea09c24bcb606f6ca7aca170	2017-12-13	0	0	NA
e29403d8ea09c24bcb606f6ca7aca170	2016-08-01	2	0	0
e2be8ec5d475f75f1cb901d058ee6191	2015-01-06	1	0	NA
e2be8ec5d475f75f1cb901d058ee6191	2013-10-01	3	0	1
e2e35b0bf4f5057ad80b7829b94762db	2017-04-10	0	0	NA
e2e35b0bf4f5057ad80b7829b94762db	2015-12-15	5	0	0
e3030940bef30ba97b87aec1ce18b658	2017-08-26	2	0	NA
e3030940bef30ba97b87aec1ce18b658	2017-04-18	2	0	2
e3030940bef30ba97b87aec1ce18b658	2013-08-27	0	2	2
e3030940bef30ba97b87aec1ce18b658	2012-06-20	2	0	0
e3181f1a090e7a9b6baf92d00db32615	2017-07-03	1	0	NA
e3181f1a090e7a9b6baf92d00db32615	2017-06-01	1	0	1
e3181f1a090e7a9b6baf92d00db32615	2015-08-18	2	0	1
e324787977e4704da2bea08ca592a915	2016-04-18	0	0	NA
e324787977e4704da2bea08ca592a915	2014-11-05	1	0	0
e33ae2c8050752e1e30d00f5e55753fd	2018-05-24	2	0	NA
e33ae2c8050752e1e30d00f5e55753fd	2017-12-20	3	0	2
e359a55d90fdf2d9b8514c331662dbfa	2013-06-05	1	0	NA
e359a55d90fdf2d9b8514c331662dbfa	2012-11-12	3	0	1
e35c9a9ab69d4b81b230534c4e599b44	2014-08-08	2	0	NA
e35c9a9ab69d4b81b230534c4e599b44	2014-01-02	1	0	2
e35c9a9ab69d4b81b230534c4e599b44	2012-08-13	2	0	1
e37826bc453956bf692d079a6b5de6e1	2019-01-16	2	0	NA
e37826bc453956bf692d079a6b5de6e1	2018-12-11	3	0	2
e382e726714f31704349b530063b7c58	2017-04-04	4	0	NA
e382e726714f31704349b530063b7c58	2016-12-23	4	0	4
e382e726714f31704349b530063b7c58	2015-10-13	3	0	4
e382e726714f31704349b530063b7c58	2014-07-28	4	0	3
e3fa2fbc1ec7572a64882b94ddf8cb7f	2018-02-26	2	0	NA
e3fa2fbc1ec7572a64882b94ddf8cb7f	2017-06-06	2	0	2
e3fa2fbc1ec7572a64882b94ddf8cb7f	2016-08-17	25	0	2
e4122af694e202f1377547da9325e73a	2011-04-04	0	0	NA
e4122af694e202f1377547da9325e73a	2010-06-08	1	NA	0
e460d06d6450c4a11d2152aacdc95617	2018-11-01	2	0	NA
e460d06d6450c4a11d2152aacdc95617	2015-01-27	4	0	2
e460d06d6450c4a11d2152aacdc95617	2014-10-29	4	0	4
e460d06d6450c4a11d2152aacdc95617	2012-01-13	2	0	4
e49a645aee48a6c1105b707ef8eabfe0	2012-08-28	0	0	NA
e49a645aee48a6c1105b707ef8eabfe0	2009-09-25	3	NA	0
e49b2608df5c7ac6c370b3990d710619	2017-11-27	5	0	NA
e49b2608df5c7ac6c370b3990d710619	2015-11-19	5	0	5
e49b2608df5c7ac6c370b3990d710619	2013-07-25	4	0	5
e49b2608df5c7ac6c370b3990d710619	2012-11-30	5	0	4
e4bd86d0b63c714ceab70509b3cf2593	2019-03-07	2	0	NA
e4bd86d0b63c714ceab70509b3cf2593	2018-11-12	3	0	2
e4c6ebe794b7996d34c955ac410dc018	2014-06-04	0	0	NA
e4c6ebe794b7996d34c955ac410dc018	2013-10-09	1	0	0
e4e62cc2fd1855c01d705ff8cd7d09b6	2019-04-24	1	0	NA
e4e62cc2fd1855c01d705ff8cd7d09b6	2014-01-31	2	0	1
e50f5736c1b5d7e32afcd69949b07380	2014-11-10	4	0	NA
e50f5736c1b5d7e32afcd69949b07380	2014-01-13	3	3	4
e50f5736c1b5d7e32afcd69949b07380	2013-08-01	4	1	3
e53c192c9c4e231041583f3d649da62b	2014-03-28	2	2	NA
e53c192c9c4e231041583f3d649da62b	2012-07-09	1	0	2
e53c192c9c4e231041583f3d649da62b	2011-11-04	2	0	1
e53c192c9c4e231041583f3d649da62b	2011-10-03	2	0	2
e53c192c9c4e231041583f3d649da62b	2010-12-15	2	NA	2
e56faf71f827aef63a36147daa3d2321	2012-04-24	2	0	NA
e56faf71f827aef63a36147daa3d2321	2011-09-09	4	0	2
e58d81317f7404eac41592632d5b924f	2018-07-27	1	0	NA
e58d81317f7404eac41592632d5b924f	2014-05-20	3	0	1
e58d81317f7404eac41592632d5b924f	2013-07-22	3	0	3
e5d1b990830c1dad6b80bd0bc1dcddac	2018-02-01	0	0	NA
e5d1b990830c1dad6b80bd0bc1dcddac	2017-03-24	1	0	0
e5d1b990830c1dad6b80bd0bc1dcddac	2016-09-30	1	0	1
e5f2afea58e18fb3d215e6920dfaef5b	2017-07-19	2	0	NA
e5f2afea58e18fb3d215e6920dfaef5b	2016-09-28	1	0	2
e5f2afea58e18fb3d215e6920dfaef5b	2016-07-20	2	0	1
e5f2afea58e18fb3d215e6920dfaef5b	2014-02-17	1	1	2
e5f4fb6dd391f6755b3d033a34daabd0	2015-08-27	2	0	NA
e5f4fb6dd391f6755b3d033a34daabd0	2013-07-17	3	0	2
e5f6f32f3294fb205542ec4a11bdd7fa	2013-06-13	1	0	NA
e5f6f32f3294fb205542ec4a11bdd7fa	2011-02-18	0	0	1
e5f6f32f3294fb205542ec4a11bdd7fa	2009-12-28	6	NA	0
e60bbdca3a68025f92f88f317bf9bf70	2018-12-21	3	3	NA
e60bbdca3a68025f92f88f317bf9bf70	2018-07-23	5	0	3
e62dd3c2161e3520b944b685d34dd26a	2012-01-05	0	1	NA
e62dd3c2161e3520b944b685d34dd26a	2011-11-16	1	0	0
e634582c8e99c3bd2bc21fe95f6f5e1c	2018-10-17	5	0	NA
e634582c8e99c3bd2bc21fe95f6f5e1c	2018-02-19	5	0	5
e634582c8e99c3bd2bc21fe95f6f5e1c	2017-01-04	4	0	5
e634582c8e99c3bd2bc21fe95f6f5e1c	2016-03-01	5	0	4
e655e0b384914154cb365ddb00a8a0ae	2015-10-17	1	0	NA
e655e0b384914154cb365ddb00a8a0ae	2010-09-07	2	NA	1
e66011a254ffef5bf8023d0d53fa89bb	2010-10-29	2	0	NA
e66011a254ffef5bf8023d0d53fa89bb	2010-01-21	3	NA	2
e67b5010701dc356d0495758f13b1937	2019-01-17	2	0	NA
e67b5010701dc356d0495758f13b1937	2013-06-18	3	0	2
e6b71c0c55266420f62c6c2a1f737198	2018-02-01	1	0	NA
e6b71c0c55266420f62c6c2a1f737198	2015-03-26	1	0	1
e6b71c0c55266420f62c6c2a1f737198	2014-10-10	1	0	1
e6b71c0c55266420f62c6c2a1f737198	2014-01-08	3	0	1
e6c6d794fd746dd37d5de56067e7043f	2017-06-13	0	0	NA
e6c6d794fd746dd37d5de56067e7043f	2013-04-01	1	0	0
e6d0a80edcd22fe0218ea033e8b86218	2016-10-03	3	0	NA
e6d0a80edcd22fe0218ea033e8b86218	2015-10-26	3	0	3
e6d0a80edcd22fe0218ea033e8b86218	2014-02-03	3	0	3
e6d0a80edcd22fe0218ea033e8b86218	2013-05-30	3	0	3
e6d0a80edcd22fe0218ea033e8b86218	2011-05-27	5	5	3
e7132b8be8aecfed270bc7df0d27d7af	2014-08-28	1	0	NA
e7132b8be8aecfed270bc7df0d27d7af	2012-07-10	1	0	1
e7132b8be8aecfed270bc7df0d27d7af	2010-08-02	1	NA	1
e7132b8be8aecfed270bc7df0d27d7af	2009-11-26	2	NA	1
e748c95b64081d1417774d0909fb1c18	2016-05-04	2	0	NA
e748c95b64081d1417774d0909fb1c18	2015-04-30	3	0	2
e75ed0b82d644c25c6bff57491234108	2016-12-05	1	0	NA
e75ed0b82d644c25c6bff57491234108	2012-07-10	2	0	1
e762f9f49ed116b1857e51bbad2e357d	2017-01-31	2	0	NA
e762f9f49ed116b1857e51bbad2e357d	2012-04-13	4	0	2
e76feb3d6995bf33a24411c477139934	2016-08-25	3	0	NA
e76feb3d6995bf33a24411c477139934	2016-07-14	1	0	3
e76feb3d6995bf33a24411c477139934	2011-04-06	2	0	1
e79df8cefa3b3e59fe88b5158a952584	2018-04-16	2	0	NA
e79df8cefa3b3e59fe88b5158a952584	2015-01-12	3	0	2
e7b19ed1a4ad523690ea4bf7c6678a88	2019-06-05	1	0	NA
e7b19ed1a4ad523690ea4bf7c6678a88	2017-11-08	4	0	1
e7dacf6f46daedca883913b5bdc782a5	2017-04-07	2	0	NA
e7dacf6f46daedca883913b5bdc782a5	2014-05-05	17	0	2
e7dbdbbe488a75a4532e30505845449b	2017-02-02	3	0	NA
e7dbdbbe488a75a4532e30505845449b	2015-12-01	3	0	3
e7dbdbbe488a75a4532e30505845449b	2015-07-14	2	0	3
e7dbdbbe488a75a4532e30505845449b	2015-03-03	3	0	2
e7dd8f8eecec7793b80e4c97b036d8f0	2014-01-03	2	0	NA
e7dd8f8eecec7793b80e4c97b036d8f0	2013-06-04	3	0	2
e7e9814f12e3aa42cc7dcc702265c59f	2018-09-28	0	0	NA
e7e9814f12e3aa42cc7dcc702265c59f	2018-02-01	1	1	0
e7e9814f12e3aa42cc7dcc702265c59f	2018-01-25	1	0	1
e801c0cbf3bb25a760a2515fb451af32	2019-04-25	0	0	NA
e801c0cbf3bb25a760a2515fb451af32	2019-04-03	2	0	0
e801c0cbf3bb25a760a2515fb451af32	2019-02-25	0	0	2
e801c0cbf3bb25a760a2515fb451af32	2018-10-09	0	0	0
e8361b9136dce04e294250530bd78550	2014-06-06	1	0	NA
e8361b9136dce04e294250530bd78550	2014-05-07	2	1	1
e8361b9136dce04e294250530bd78550	2014-03-12	2	0	2
e8361b9136dce04e294250530bd78550	2013-07-01	2	1	2
e8361b9136dce04e294250530bd78550	2013-06-03	2	1	2
e8361b9136dce04e294250530bd78550	2012-04-12	2	1	2
e8749b7beba4ab13a80a3d46f41485a3	2017-02-28	3	0	NA
e8749b7beba4ab13a80a3d46f41485a3	2014-08-04	3	0	3
e8749b7beba4ab13a80a3d46f41485a3	2013-07-26	4	0	3
e87c6d0587194e2f7cc9f989834e60b9	2018-02-01	2	0	NA
e87c6d0587194e2f7cc9f989834e60b9	2017-12-20	0	0	2
e87c6d0587194e2f7cc9f989834e60b9	2017-01-10	2	0	0
e87c6d0587194e2f7cc9f989834e60b9	2014-11-10	2	0	2
e87c6d0587194e2f7cc9f989834e60b9	2011-03-21	0	0	2
e87f87d4696a2a65146052121dee2079	2019-06-19	5	0	NA
e87f87d4696a2a65146052121dee2079	2019-03-04	5	0	5
e87f87d4696a2a65146052121dee2079	2018-05-03	4	0	5
e87f87d4696a2a65146052121dee2079	2017-03-17	5	0	4
e87f87d4696a2a65146052121dee2079	2016-06-23	5	0	5
e89fca3310a7d89866dee2b038ae176c	2017-07-19	2	0	NA
e89fca3310a7d89866dee2b038ae176c	2015-07-28	3	0	2
e89fca3310a7d89866dee2b038ae176c	2012-11-20	3	0	3
e8cd55746119df4a6c3003a62a5342dc	2019-05-14	3	0	NA
e8cd55746119df4a6c3003a62a5342dc	2016-02-03	4	0	3
e8cd55746119df4a6c3003a62a5342dc	2012-01-09	2	0	4
e8d318a7b14b3dc4a7d204981d18f450	2014-11-14	1	0	NA
e8d318a7b14b3dc4a7d204981d18f450	2012-02-16	2	0	1
e8d318a7b14b3dc4a7d204981d18f450	2010-06-29	1	NA	2
e901b59589c489a80b2a29e8eb8a304e	2018-03-22	2	0	NA
e901b59589c489a80b2a29e8eb8a304e	2017-09-25	4	0	2
e90c651c06765d57113258427579944a	2018-12-14	1	0	NA
e90c651c06765d57113258427579944a	2017-05-31	2	0	1
e91805e8929d9f9bcabe93c6d705a29d	2017-10-02	0	0	NA
e91805e8929d9f9bcabe93c6d705a29d	2015-06-26	1	0	0
e92822da16cfd3038f552373eadb2f9b	2018-04-02	2	0	NA
e92822da16cfd3038f552373eadb2f9b	2018-02-15	3	0	2
e92822da16cfd3038f552373eadb2f9b	2018-01-02	2	0	3
e92822da16cfd3038f552373eadb2f9b	2014-12-03	3	0	2
e92822da16cfd3038f552373eadb2f9b	2009-11-16	2	NA	3
e93e5333eb1e9d188d0f1861752b9562	2014-10-13	1	1	NA
e93e5333eb1e9d188d0f1861752b9562	2012-06-27	2	0	1
e93e5333eb1e9d188d0f1861752b9562	2011-08-18	1	0	2
e93e5333eb1e9d188d0f1861752b9562	2011-05-17	0	0	1
e93e5333eb1e9d188d0f1861752b9562	2010-07-08	1	NA	0
e94b77714b3f16b484e5817ab9fadd59	2018-01-31	2	0	NA
e94b77714b3f16b484e5817ab9fadd59	2017-10-02	3	0	2
e96209149137d72af9e62de0f1428d4d	2018-04-10	7	0	NA
e96209149137d72af9e62de0f1428d4d	2018-02-09	9	0	7
e96209149137d72af9e62de0f1428d4d	2017-04-06	7	0	9
e9755d6681140a811ab2c960cac1cce2	2013-01-03	0	0	NA
e9755d6681140a811ab2c960cac1cce2	2012-08-01	1	0	0
e97e562b011bde1bcda593b6f84ffce5	2016-01-05	2	0	NA
e97e562b011bde1bcda593b6f84ffce5	2015-11-02	5	0	2
e97e562b011bde1bcda593b6f84ffce5	2015-04-07	5	0	5
e97e562b011bde1bcda593b6f84ffce5	2015-01-05	5	0	5
e97e562b011bde1bcda593b6f84ffce5	2014-11-17	5	0	5
e98cc098ef69c082dc6601ca65be086f	2013-02-05	2	0	NA
e98cc098ef69c082dc6601ca65be086f	2011-10-04	3	0	2
e98e189522700fbfcdf535285a5ab5a1	2013-07-01	7	0	NA
e98e189522700fbfcdf535285a5ab5a1	2013-02-04	8	1	7
e98e189522700fbfcdf535285a5ab5a1	2012-07-30	7	0	8
e98e189522700fbfcdf535285a5ab5a1	2011-02-01	6	0	7
e98e189522700fbfcdf535285a5ab5a1	2010-05-03	7	NA	6
e99931c435b7680ba02dab6ea235df15	2012-05-11	2	0	NA
e99931c435b7680ba02dab6ea235df15	2011-09-28	2	2	2
e99931c435b7680ba02dab6ea235df15	2011-08-10	0	0	2
e99931c435b7680ba02dab6ea235df15	2010-04-21	2	NA	0
e9a2b187e347556b79d4d91704ca4c81	2015-06-08	3	0	NA
e9a2b187e347556b79d4d91704ca4c81	2013-01-08	3	0	3
e9a2b187e347556b79d4d91704ca4c81	2009-11-20	4	NA	3
e9af93c0adfacc94347d68ae80099af8	2013-03-22	0	0	NA
e9af93c0adfacc94347d68ae80099af8	2010-04-12	2	NA	0
e9bcf54d302f285b15fd25ca0e07505d	2015-01-06	2	0	NA
e9bcf54d302f285b15fd25ca0e07505d	2010-05-13	3	0	2
e9c126ca696b11cea2d0c407b562bb8b	2017-03-23	1	0	NA
e9c126ca696b11cea2d0c407b562bb8b	2015-11-16	4	0	1
e9cdbc6f9c1cf20e2d517cc092006c1e	2017-05-25	4	0	NA
e9cdbc6f9c1cf20e2d517cc092006c1e	2016-01-21	5	0	4
e9f1a0fbe8723086b7452360851cb89a	2017-04-10	2	0	NA
e9f1a0fbe8723086b7452360851cb89a	2015-01-27	3	0	2
e9f1a0fbe8723086b7452360851cb89a	2014-10-02	2	0	3
ea3a2568c4dbd52dc708c62caa4882d6	2015-03-10	0	0	NA
ea3a2568c4dbd52dc708c62caa4882d6	2014-02-11	3	0	0
ea3a2568c4dbd52dc708c62caa4882d6	2013-02-01	3	0	3
ea6f0cc73e45ad23a4f5f2fe384ac8eb	2012-06-22	1	0	NA
ea6f0cc73e45ad23a4f5f2fe384ac8eb	2012-01-09	2	0	1
ea72d4a9ef3baf47fa6921bbd8df61f1	2017-09-30	0	0	NA
ea72d4a9ef3baf47fa6921bbd8df61f1	2017-07-21	1	0	0
ea72d4a9ef3baf47fa6921bbd8df61f1	2017-06-20	0	0	1
ea72d4a9ef3baf47fa6921bbd8df61f1	2016-07-26	0	0	0
ea72d4a9ef3baf47fa6921bbd8df61f1	2015-08-19	2	0	0
ea816df44719323ba228998ff7b6e0aa	2014-09-22	1	0	NA
ea816df44719323ba228998ff7b6e0aa	2014-06-16	1	0	1
ea816df44719323ba228998ff7b6e0aa	2014-03-03	2	0	1
ea816df44719323ba228998ff7b6e0aa	2013-11-27	1	0	2
ea816df44719323ba228998ff7b6e0aa	2013-03-18	1	0	1
ea85f61912d8e00856c71ce4b88fea66	2018-08-02	3	0	NA
ea85f61912d8e00856c71ce4b88fea66	2017-07-26	4	0	3
ea85f61912d8e00856c71ce4b88fea66	2017-05-05	4	0	4
eab036c9aae9fce777328351baf8aaf0	2015-12-17	0	0	NA
eab036c9aae9fce777328351baf8aaf0	2013-04-18	1	0	0
eab8748fa19797453363564cb29b0c79	2015-12-03	3	0	NA
eab8748fa19797453363564cb29b0c79	2014-08-11	3	0	3
eab8748fa19797453363564cb29b0c79	2014-06-02	4	0	3
eab8748fa19797453363564cb29b0c79	2012-09-21	4	0	4
eb12684f2b0f1635a8b4ce3cc45f1dc4	2019-09-10	2	0	NA
eb12684f2b0f1635a8b4ce3cc45f1dc4	2014-12-18	4	0	2
eb12684f2b0f1635a8b4ce3cc45f1dc4	2014-04-29	4	0	4
eb12684f2b0f1635a8b4ce3cc45f1dc4	2013-08-05	4	0	4
eb12684f2b0f1635a8b4ce3cc45f1dc4	2012-04-03	3	0	4
eb49fc1a2569741523b3d8f6d41e5179	2019-01-30	3	0	NA
eb49fc1a2569741523b3d8f6d41e5179	2010-03-01	4	NA	3
eb80e2843cfac811f7b4b9b623448c82	2017-12-01	0	0	NA
eb80e2843cfac811f7b4b9b623448c82	2011-03-21	2	2	0
eb80e2843cfac811f7b4b9b623448c82	2010-01-21	0	0	2
ec00f8b44ebde552edebe31787e806b4	2014-01-21	2	0	NA
ec00f8b44ebde552edebe31787e806b4	2013-08-20	2	0	2
ec00f8b44ebde552edebe31787e806b4	2012-09-25	3	0	2
ec018f8f0e065a7d243adf837207c6dd	2013-10-01	2	0	NA
ec018f8f0e065a7d243adf837207c6dd	2013-07-04	2	0	2
ec018f8f0e065a7d243adf837207c6dd	2011-12-20	2	0	2
ec018f8f0e065a7d243adf837207c6dd	2011-11-22	4	0	2
ec0ac20ba2a96c23ba89784d043c5002	2010-06-08	1	NA	NA
ec0ac20ba2a96c23ba89784d043c5002	2009-07-23	2	NA	1
ec6a78ffa63ee50691b1cfd1e9edaa21	2014-08-18	2	0	NA
ec6a78ffa63ee50691b1cfd1e9edaa21	2010-04-09	4	NA	2
ec7360467957d21a782710aafaf17485	2018-12-05	1	0	NA
ec7360467957d21a782710aafaf17485	2014-09-01	2	0	1
ec9612d899bfcd6142df5f01199dffa1	2013-01-03	1	0	NA
ec9612d899bfcd6142df5f01199dffa1	2011-05-17	1	0	1
ec9612d899bfcd6142df5f01199dffa1	2010-05-05	1	NA	1
ec9612d899bfcd6142df5f01199dffa1	2010-04-09	2	NA	1
ecb45c7beb59b7f4dd2c4664b56f00da	2014-01-03	2	1	NA
ecb45c7beb59b7f4dd2c4664b56f00da	2013-11-22	2	0	2
ecb45c7beb59b7f4dd2c4664b56f00da	2013-05-24	3	0	2
ecb45c7beb59b7f4dd2c4664b56f00da	2010-10-29	3	0	3
ecb45c7beb59b7f4dd2c4664b56f00da	2010-01-26	3	NA	3
ecd1c5e1b6b39a0c71438600be46f9d8	2019-02-21	0	0	NA
ecd1c5e1b6b39a0c71438600be46f9d8	2012-09-05	1	0	0
ecd3d4018f526ffd6c7f3f8e5f534d56	2015-06-09	2	0	NA
ecd3d4018f526ffd6c7f3f8e5f534d56	2011-07-01	4	0	2
ecd3d4018f526ffd6c7f3f8e5f534d56	2010-11-02	4	NA	4
ed03b7d241713bab1ae43fe28d8a67a4	2019-08-12	4	0	NA
ed03b7d241713bab1ae43fe28d8a67a4	2016-02-15	29	0	4
ed2b43e62859a6b0541e66833e9574e2	2018-07-09	5	0	NA
ed2b43e62859a6b0541e66833e9574e2	2010-11-15	6	0	5
ed31e09b0adeefb57fa54c2295b3b7f2	2017-03-28	2	0	NA
ed31e09b0adeefb57fa54c2295b3b7f2	2016-04-05	2	0	2
ed31e09b0adeefb57fa54c2295b3b7f2	2015-04-21	2	0	2
ed31e09b0adeefb57fa54c2295b3b7f2	2014-10-01	1	0	2
ed31e09b0adeefb57fa54c2295b3b7f2	2014-08-06	3	0	1
ed31e09b0adeefb57fa54c2295b3b7f2	2014-05-08	3	0	3
ed359f113f09d5c47959b93563cdfb05	2019-07-23	2	0	NA
ed359f113f09d5c47959b93563cdfb05	2019-07-01	2	0	2
ed359f113f09d5c47959b93563cdfb05	2012-06-27	2	0	2
ed359f113f09d5c47959b93563cdfb05	2011-07-13	2	2	2
ed359f113f09d5c47959b93563cdfb05	2010-07-09	3	NA	2
ed54b3c7761c1c2b7d26e1636733046d	2017-02-09	2	0	NA
ed54b3c7761c1c2b7d26e1636733046d	2014-10-07	3	0	2
ed653fcc224e521d1510788aa8ca6936	2018-01-31	1	0	NA
ed653fcc224e521d1510788aa8ca6936	2016-01-14	24	0	1
eda1f2e0cf8be6d277b72014ea143a8d	2013-01-04	1	0	NA
eda1f2e0cf8be6d277b72014ea143a8d	2012-07-17	2	0	1
eda1f2e0cf8be6d277b72014ea143a8d	2012-04-04	2	0	2
edc0d709ff581d3b7393cfd39bcfa436	2018-07-24	1	0	NA
edc0d709ff581d3b7393cfd39bcfa436	2016-01-15	3	0	1
edc0d709ff581d3b7393cfd39bcfa436	2015-06-23	4	0	3
ee121eeda19bdc51fd30c1088ee6c681	2018-10-08	2	0	NA
ee121eeda19bdc51fd30c1088ee6c681	2016-08-02	2	0	2
ee121eeda19bdc51fd30c1088ee6c681	2014-09-02	1	0	2
ee121eeda19bdc51fd30c1088ee6c681	2014-03-20	2	0	1
ee29a1372ec1b6cf72a70992e17d5706	2017-03-29	2	0	NA
ee29a1372ec1b6cf72a70992e17d5706	2016-12-17	3	0	2
ee29a1372ec1b6cf72a70992e17d5706	2016-08-30	3	0	3
ee3f06263de6e3400854620d0fe267f0	2017-06-01	3	0	NA
ee3f06263de6e3400854620d0fe267f0	2016-12-19	4	0	3
ee3f06263de6e3400854620d0fe267f0	2016-08-19	4	0	4
ee3f06263de6e3400854620d0fe267f0	2010-05-19	3	NA	4
ee72774d380767762b6ba42c5e3c2a3a	2018-08-01	5	0	NA
ee72774d380767762b6ba42c5e3c2a3a	2017-04-07	4	0	5
ee72774d380767762b6ba42c5e3c2a3a	2016-01-09	5	0	4
ee743a46eebb2b4ecb394abaa2e24e69	2012-06-20	0	0	NA
ee743a46eebb2b4ecb394abaa2e24e69	2008-07-14	4	NA	0
ee765e7f8f251b370f3733fe71c3fb3d	2019-05-13	0	0	NA
ee765e7f8f251b370f3733fe71c3fb3d	2017-12-18	0	0	0
ee765e7f8f251b370f3733fe71c3fb3d	2013-08-21	1	0	0
ee765e7f8f251b370f3733fe71c3fb3d	2009-02-02	0	NA	1
ee87e7de9ec1c8a0cc1b7362f5a7f844	2016-11-29	3	0	NA
ee87e7de9ec1c8a0cc1b7362f5a7f844	2016-04-09	3	0	3
ee87e7de9ec1c8a0cc1b7362f5a7f844	2016-03-08	3	1	3
ee87e7de9ec1c8a0cc1b7362f5a7f844	2013-01-01	4	0	3
ee87e7de9ec1c8a0cc1b7362f5a7f844	2012-08-30	3	0	4
ee87e7de9ec1c8a0cc1b7362f5a7f844	2011-08-01	1	0	3
ee8d3617422ff9020aeed1400445f8fb	2018-08-23	1	0	NA
ee8d3617422ff9020aeed1400445f8fb	2018-04-05	0	0	1
ee8d3617422ff9020aeed1400445f8fb	2017-06-05	0	0	0
ee8d3617422ff9020aeed1400445f8fb	2017-05-19	1	0	0
ee8d3617422ff9020aeed1400445f8fb	2017-04-04	0	0	1
eeb9b9775f442feedc7f39f6e8f895e7	2018-01-15	2	0	NA
eeb9b9775f442feedc7f39f6e8f895e7	2016-07-19	2	0	2
eeb9b9775f442feedc7f39f6e8f895e7	2016-01-26	2	0	2
eeb9b9775f442feedc7f39f6e8f895e7	2015-05-04	3	0	2
eee128fd06b7b9fdbe74e18fd8369e9a	2017-02-27	1	1	NA
eee128fd06b7b9fdbe74e18fd8369e9a	2016-04-19	0	0	1
eee128fd06b7b9fdbe74e18fd8369e9a	2015-04-28	1	0	0
eee128fd06b7b9fdbe74e18fd8369e9a	2013-12-31	1	0	1
eee128fd06b7b9fdbe74e18fd8369e9a	2012-11-19	1	0	1
ef21d607f4b3029facab3ee315ac83ef	2018-05-16	3	0	NA
ef21d607f4b3029facab3ee315ac83ef	2008-09-08	4	NA	3
ef65ee05615dcb651c3771b4265ccdd7	2019-01-23	5	0	NA
ef65ee05615dcb651c3771b4265ccdd7	2018-05-24	4	0	5
ef65ee05615dcb651c3771b4265ccdd7	2016-01-28	5	0	4
ef726780647e432bb5e496d75dff2a29	2016-04-26	5	0	NA
ef726780647e432bb5e496d75dff2a29	2015-02-01	6	0	5
ef7e9e9694cdc63ebc41d0de2f5b692a	2015-07-13	1	0	NA
ef7e9e9694cdc63ebc41d0de2f5b692a	2015-05-12	1	0	1
ef7e9e9694cdc63ebc41d0de2f5b692a	2015-03-10	2	0	1
ef90c7f6bd4b73c5f8f9ffb754d48580	2017-11-23	5	0	NA
ef90c7f6bd4b73c5f8f9ffb754d48580	2016-07-07	8	0	5
efb4a8e30b648ecc7afe4f8012c786aa	2017-07-26	2	0	NA
efb4a8e30b648ecc7afe4f8012c786aa	2008-09-15	3	NA	2
efbd48c78dc6a8fe04e9f338e280a9ec	2016-04-07	1	1	NA
efbd48c78dc6a8fe04e9f338e280a9ec	2011-05-09	3	3	1
f05c528c13843ca196e13cffb7ee757c	2014-09-12	2	0	NA
f05c528c13843ca196e13cffb7ee757c	2014-02-04	2	0	2
f05c528c13843ca196e13cffb7ee757c	2010-04-07	3	NA	2
f06a807e9b28640d1c5468050025107c	2016-10-07	2	0	NA
f06a807e9b28640d1c5468050025107c	2013-11-06	4	0	2
f0a3235309a5112135f50e79205dc129	2018-09-03	2	0	NA
f0a3235309a5112135f50e79205dc129	2017-06-01	3	0	2
f0f0d5117f82eaa0a6cbd1d48cfea43e	2017-01-03	1	0	NA
f0f0d5117f82eaa0a6cbd1d48cfea43e	2016-08-01	3	0	1
f0f0d5117f82eaa0a6cbd1d48cfea43e	2013-04-05	4	0	3
f140297cfdfc76ef101648e363354c06	2015-07-08	3	0	NA
f140297cfdfc76ef101648e363354c06	2015-05-26	3	0	3
f140297cfdfc76ef101648e363354c06	2015-03-12	2	0	3
f140297cfdfc76ef101648e363354c06	2014-04-21	3	0	2
f140297cfdfc76ef101648e363354c06	2012-08-20	3	0	3
f14a8b50af76103dc3615f22757badcd	2018-02-08	2	0	NA
f14a8b50af76103dc3615f22757badcd	2012-08-01	3	0	2
f198c2cc567e2ea8ca54f1ca39fc2e99	2018-02-01	1	0	NA
f198c2cc567e2ea8ca54f1ca39fc2e99	2015-04-16	4	0	1
f198c2cc567e2ea8ca54f1ca39fc2e99	2014-01-09	4	1	4
f1bdf7b1acbf763629ace154ff256c90	2013-11-26	0	0	NA
f1bdf7b1acbf763629ace154ff256c90	2013-05-15	1	0	0
f1bdf7b1acbf763629ace154ff256c90	2013-02-07	1	0	1
f1e605065eab4a6cc5b2d0fefd86332a	2015-07-18	5	0	NA
f1e605065eab4a6cc5b2d0fefd86332a	2015-04-18	5	0	5
f1e605065eab4a6cc5b2d0fefd86332a	2009-09-01	7	NA	5
f241eb145fbf9b5e2d74dad8b8737727	2015-09-11	3	0	NA
f241eb145fbf9b5e2d74dad8b8737727	2014-03-05	1	0	3
f241eb145fbf9b5e2d74dad8b8737727	2012-06-30	3	0	1
f26ae164a861791d4989d4ab830ccf5f	2017-11-24	4	0	NA
f26ae164a861791d4989d4ab830ccf5f	2015-09-07	4	0	4
f26ae164a861791d4989d4ab830ccf5f	2015-06-23	4	0	4
f26ae164a861791d4989d4ab830ccf5f	2014-04-10	4	0	4
f26ae164a861791d4989d4ab830ccf5f	2013-10-15	3	0	4
f26ae164a861791d4989d4ab830ccf5f	2013-10-09	5	0	3
f26ae164a861791d4989d4ab830ccf5f	2010-10-19	3	0	5
f2c098e7a02b322db40e639aad12d8d5	2016-01-05	1	0	NA
f2c098e7a02b322db40e639aad12d8d5	2013-12-12	2	1	1
f2c27f820942a4c39db26a61d72d5700	2012-10-02	3	0	NA
f2c27f820942a4c39db26a61d72d5700	2011-03-04	5	0	3
f326fa5c4b9d0f6e5976d05bb112b298	2019-04-23	2	0	NA
f326fa5c4b9d0f6e5976d05bb112b298	2018-02-02	1	0	2
f326fa5c4b9d0f6e5976d05bb112b298	2017-05-08	2	0	1
f3632c41476929cd8a5644a5280cd044	2019-08-01	3	0	NA
f3632c41476929cd8a5644a5280cd044	2016-01-22	2	0	3
f3632c41476929cd8a5644a5280cd044	2015-06-23	3	0	2
f36a9ce7b0aaa98d469dc554a73279d6	2017-06-28	8	0	NA
f36a9ce7b0aaa98d469dc554a73279d6	2013-08-26	6	0	8
f36a9ce7b0aaa98d469dc554a73279d6	2011-08-08	8	7	6
f3c1e5ea772b18263b57dbf3a46decfe	2015-02-09	3	0	NA
f3c1e5ea772b18263b57dbf3a46decfe	2013-09-04	5	0	3
f3c1e5ea772b18263b57dbf3a46decfe	2012-04-12	5	0	5
f3c1e5ea772b18263b57dbf3a46decfe	2011-08-11	4	0	5
f3c1e5ea772b18263b57dbf3a46decfe	2010-11-03	4	NA	4
f3e6cd1337417bbafdf9647202d28fbd	2018-06-19	1	1	NA
f3e6cd1337417bbafdf9647202d28fbd	2016-11-26	2	0	1
f3e6cd1337417bbafdf9647202d28fbd	2016-04-12	2	0	2
f3e6cd1337417bbafdf9647202d28fbd	2015-08-03	1	0	2
f3ec28b7e35771622abfe3153d0325b5	2017-02-28	6	2	NA
f3ec28b7e35771622abfe3153d0325b5	2017-02-02	6	0	6
f3ec28b7e35771622abfe3153d0325b5	2017-01-01	2	0	6
f3ec28b7e35771622abfe3153d0325b5	2016-01-28	4	0	2
f40063d4706572aa1c0fb5107e1ac8ac	2017-03-10	1	0	NA
f40063d4706572aa1c0fb5107e1ac8ac	2016-02-16	0	0	1
f40063d4706572aa1c0fb5107e1ac8ac	2015-04-06	1	0	0
f40063d4706572aa1c0fb5107e1ac8ac	2014-04-03	1	0	1
f42db401c6c243a3dee335bb8b7a2e3b	2017-09-27	2	0	NA
f42db401c6c243a3dee335bb8b7a2e3b	2013-08-26	3	0	2
f42db401c6c243a3dee335bb8b7a2e3b	2012-09-13	2	0	3
f45c5255c9c89d4179ee5a3e3c5538f6	2017-08-11	2	0	NA
f45c5255c9c89d4179ee5a3e3c5538f6	2016-01-07	0	0	2
f45c5255c9c89d4179ee5a3e3c5538f6	2015-08-24	2	0	0
f45c5255c9c89d4179ee5a3e3c5538f6	2014-08-04	2	0	2
f4b27183d2c9aadce530d5232a10aed7	2018-04-10	2	0	NA
f4b27183d2c9aadce530d5232a10aed7	2015-03-16	5	0	2
f4b27183d2c9aadce530d5232a10aed7	2011-04-14	5	0	5
f4e01d4c60b5694dbde01883f35dc177	2018-08-07	0	0	NA
f4e01d4c60b5694dbde01883f35dc177	2017-05-11	1	0	0
f5ca846951c21db70a0f790c96f5d972	2019-01-03	2	0	NA
f5ca846951c21db70a0f790c96f5d972	2017-10-11	2	0	2
f5ca846951c21db70a0f790c96f5d972	2016-10-03	2	0	2
f5ca846951c21db70a0f790c96f5d972	2014-01-10	2	0	2
f5ca846951c21db70a0f790c96f5d972	2013-01-28	3	0	2
f6154493516ebe80d4d2de037c67c1b6	2019-07-03	3	0	NA
f6154493516ebe80d4d2de037c67c1b6	2012-09-12	4	0	3
f6154493516ebe80d4d2de037c67c1b6	2011-05-23	3	0	4
f63b4e5dafc503bee6e7dd57ada5e097	2017-06-13	0	0	NA
f63b4e5dafc503bee6e7dd57ada5e097	2017-03-01	1	0	0
f63b4e5dafc503bee6e7dd57ada5e097	2016-02-05	1	0	1
f63b4e5dafc503bee6e7dd57ada5e097	2015-09-10	0	0	1
f64a0e45643e582dffc5a2345811286d	2017-02-14	2	0	NA
f64a0e45643e582dffc5a2345811286d	2016-09-02	3	0	2
f678c25b90473d31a02bebf24929cf22	2019-02-19	1	0	NA
f678c25b90473d31a02bebf24929cf22	2016-10-19	2	0	1
f67b7c3ede183d48ab63fbd25baf2c9f	2018-08-29	2	0	NA
f67b7c3ede183d48ab63fbd25baf2c9f	2018-07-06	3	0	2
f67b7c3ede183d48ab63fbd25baf2c9f	2012-04-24	2	0	3
f6a076d4f87d311c14b0b7f7765e7279	2019-10-07	1	0	NA
f6a076d4f87d311c14b0b7f7765e7279	2019-04-08	2	0	1
f6c249c19c70afe0b47b370484ccd6d1	2019-09-02	1	0	NA
f6c249c19c70afe0b47b370484ccd6d1	2019-06-04	2	0	1
f6d8c3f6ed3e9edbac273ee27bd48a12	2019-03-07	1	0	NA
f6d8c3f6ed3e9edbac273ee27bd48a12	2018-06-18	1	0	1
f6d8c3f6ed3e9edbac273ee27bd48a12	2018-04-27	15	0	1
f6d8c3f6ed3e9edbac273ee27bd48a12	2010-03-03	1	NA	15
f70c9bd5707c17ea7845758f50edc110	2015-03-20	5	0	NA
f70c9bd5707c17ea7845758f50edc110	2010-11-15	6	NA	5
f7372c293bc9eeb25c041c8210ae440a	2016-03-02	5	0	NA
f7372c293bc9eeb25c041c8210ae440a	2015-04-20	4	0	5
f7372c293bc9eeb25c041c8210ae440a	2014-06-03	5	0	4
f752d2c9d71d507cd2a3e2db9406358f	2015-06-01	1	0	NA
f752d2c9d71d507cd2a3e2db9406358f	2010-01-05	2	NA	1
f78b57dae8397310563d61ab5519c767	2015-08-05	0	0	NA
f78b57dae8397310563d61ab5519c767	2013-01-02	1	0	0
f78b57dae8397310563d61ab5519c767	2012-06-18	1	0	1
f78b57dae8397310563d61ab5519c767	2010-06-14	1	NA	1
f79da506108aacba709e26d2bf5c2319	2017-09-26	1	0	NA
f79da506108aacba709e26d2bf5c2319	2017-08-14	2	0	1
f7f4c08812a6cfa6487c3dc3ed4988aa	2014-07-15	2	1	NA
f7f4c08812a6cfa6487c3dc3ed4988aa	2011-01-06	3	0	2
f81bc4d5a2b1e0f4af5868c6ad99239a	2017-09-05	1	0	NA
f81bc4d5a2b1e0f4af5868c6ad99239a	2015-09-11	1	0	1
f81bc4d5a2b1e0f4af5868c6ad99239a	2013-05-07	4	0	1
f867dbd7af2478e332bd52cd1671228a	2012-05-25	3	0	NA
f867dbd7af2478e332bd52cd1671228a	2011-07-07	0	0	3
f867dbd7af2478e332bd52cd1671228a	2010-09-13	2	NA	0
f885e469a13f85dfe8a2c8e5be92b363	2019-04-01	2	0	NA
f885e469a13f85dfe8a2c8e5be92b363	2017-05-19	5	0	2
f885e469a13f85dfe8a2c8e5be92b363	2016-05-17	5	0	5
f885e469a13f85dfe8a2c8e5be92b363	2013-05-27	5	0	5
f885e469a13f85dfe8a2c8e5be92b363	2010-12-16	5	0	5
f885e469a13f85dfe8a2c8e5be92b363	2008-05-08	4	NA	5
f8c2a411be08a22137283dae36f08e9e	2013-04-19	3	0	NA
f8c2a411be08a22137283dae36f08e9e	2010-08-30	4	NA	3
f8f48984ef61ac367dce93b81d99181b	2018-07-02	1	0	NA
f8f48984ef61ac367dce93b81d99181b	2018-03-27	1	0	1
f8f48984ef61ac367dce93b81d99181b	2016-11-25	2	0	1
f8f48984ef61ac367dce93b81d99181b	2015-05-26	2	0	2
f8f48984ef61ac367dce93b81d99181b	2014-09-02	2	0	2
f93abedd8d7b9deb357b7cb8e542202c	2016-05-17	2	0	NA
f93abedd8d7b9deb357b7cb8e542202c	2014-11-18	1	0	2
f93abedd8d7b9deb357b7cb8e542202c	2014-05-26	2	0	1
f93abedd8d7b9deb357b7cb8e542202c	2014-02-13	2	0	2
f94aa0dd9bb87dbd4bd9f1d40a93eea1	2019-01-31	3	0	NA
f94aa0dd9bb87dbd4bd9f1d40a93eea1	2015-09-02	4	0	3
f94aa0dd9bb87dbd4bd9f1d40a93eea1	2011-12-15	3	0	4
f94c202b36eebc6cdd56a3ca4d4cce38	2015-06-12	0	0	NA
f94c202b36eebc6cdd56a3ca4d4cce38	2012-07-30	2	0	0
f979fd342ebf0040011f5c7bb1bf9fac	2015-11-12	0	0	NA
f979fd342ebf0040011f5c7bb1bf9fac	2014-10-13	1	0	0
f9d5fc53fdd880c0d35e78e92703e1cf	2014-08-12	0	0	NA
f9d5fc53fdd880c0d35e78e92703e1cf	2012-08-23	1	0	0
f9f175e07772cbc95d9f69ce94034e39	2019-09-09	1	0	NA
f9f175e07772cbc95d9f69ce94034e39	2019-07-11	0	1	1
f9f175e07772cbc95d9f69ce94034e39	2019-04-04	0	0	0
f9f175e07772cbc95d9f69ce94034e39	2014-06-05	1	1	0
f9f175e07772cbc95d9f69ce94034e39	2014-02-20	0	1	1
fa05b4186d6c5e536952f1d9e9410446	2017-11-29	3	0	NA
fa05b4186d6c5e536952f1d9e9410446	2016-08-09	2	0	3
fa05b4186d6c5e536952f1d9e9410446	2016-03-01	3	0	2
fa05b4186d6c5e536952f1d9e9410446	2015-09-23	3	0	3
fa05b4186d6c5e536952f1d9e9410446	2015-07-14	3	0	3
fa5583006483118c2984d1aa5e307012	2017-05-04	3	0	NA
fa5583006483118c2984d1aa5e307012	2015-03-09	4	0	3
fabc8d7d593207b5a9031b13e3eebbb6	2015-02-04	6	0	NA
fabc8d7d593207b5a9031b13e3eebbb6	2014-12-01	6	0	6
fabc8d7d593207b5a9031b13e3eebbb6	2012-01-27	4	1	6
fabc8d7d593207b5a9031b13e3eebbb6	2010-08-16	3	NA	4
fabc8d7d593207b5a9031b13e3eebbb6	2010-03-29	4	NA	3
fadb6052d08160e18f92478cc2bd1ff6	2015-03-25	1	0	NA
fadb6052d08160e18f92478cc2bd1ff6	2014-10-14	1	0	1
fadb6052d08160e18f92478cc2bd1ff6	2014-01-30	1	0	1
fadb6052d08160e18f92478cc2bd1ff6	2013-03-05	1	0	1
fadb6052d08160e18f92478cc2bd1ff6	2013-01-03	0	0	1
fadb6052d08160e18f92478cc2bd1ff6	2010-11-15	1	NA	0
fb2de32a09d81d6109752d4a8a73bcbb	2018-01-23	2	0	NA
fb2de32a09d81d6109752d4a8a73bcbb	2017-04-20	3	0	2
fb5867716f697f3135ff6ba4c6db604b	2019-03-26	3	0	NA
fb5867716f697f3135ff6ba4c6db604b	2014-11-14	1	0	3
fb5867716f697f3135ff6ba4c6db604b	2013-02-15	2	0	1
fb7120a2faaade2d5445a7a469fa0956	2015-07-07	0	0	NA
fb7120a2faaade2d5445a7a469fa0956	2014-05-02	1	0	0
fb7120a2faaade2d5445a7a469fa0956	2012-09-03	1	0	1
fb71cb853f9210030c6273f453775526	2016-10-11	1	0	NA
fb71cb853f9210030c6273f453775526	2009-08-03	3	NA	1
fb8a34fb1405f4ea4e8df96d4d2fb6fc	2014-11-14	0	0	NA
fb8a34fb1405f4ea4e8df96d4d2fb6fc	2013-10-04	2	0	0
fb8a34fb1405f4ea4e8df96d4d2fb6fc	2013-08-23	2	0	2
fbc4c18a119edcb146af08af210d639c	2016-02-24	0	0	NA
fbc4c18a119edcb146af08af210d639c	2013-10-24	1	0	0
fbc4c18a119edcb146af08af210d639c	2013-03-18	0	0	1
fc1d156557229214a36e59bbd5ab7a60	2019-04-01	3	0	NA
fc1d156557229214a36e59bbd5ab7a60	2016-01-07	4	0	3
fc23f64a290a66b08da05880aa11caff	2016-07-08	0	0	NA
fc23f64a290a66b08da05880aa11caff	2016-02-16	1	0	0
fc256bfb95479f28ee0f9baefcfa6a46	2016-10-11	1	0	NA
fc256bfb95479f28ee0f9baefcfa6a46	2010-12-27	2	0	1
fc3c1365c128ddaa7fc45c06dfaff9f9	2017-08-03	2	0	NA
fc3c1365c128ddaa7fc45c06dfaff9f9	2014-04-01	2	0	2
fc3c1365c128ddaa7fc45c06dfaff9f9	2013-07-17	1	0	2
fc3c1365c128ddaa7fc45c06dfaff9f9	2013-05-14	2	0	1
fc3fa10f304d0cf35152587a0d5add2d	2018-02-26	4	0	NA
fc3fa10f304d0cf35152587a0d5add2d	2017-02-28	4	0	4
fc3fa10f304d0cf35152587a0d5add2d	2015-12-03	4	0	4
fc3fa10f304d0cf35152587a0d5add2d	2014-02-03	2	0	4
fc3fa10f304d0cf35152587a0d5add2d	2012-04-17	4	0	2
fc3fa10f304d0cf35152587a0d5add2d	2011-07-12	4	0	4
fc3fa10f304d0cf35152587a0d5add2d	2010-04-05	4	NA	4
fc51a5a18c5d10153d6715560f6420bd	2015-09-23	2	0	NA
fc51a5a18c5d10153d6715560f6420bd	2011-08-25	3	0	2
fc51a5a18c5d10153d6715560f6420bd	2009-04-23	1	NA	3
fc81ab4dd0f88e6a483d890cbee34193	2019-02-18	2	0	NA
fc81ab4dd0f88e6a483d890cbee34193	2016-08-30	2	0	2
fc81ab4dd0f88e6a483d890cbee34193	2016-03-09	3	0	2
fc8acba2049691c48e087c4cfb02bf9c	2014-03-25	3	0	NA
fc8acba2049691c48e087c4cfb02bf9c	2009-03-09	5	NA	3
fca874a8cfb9a9f65854928faa2d2cca	2015-04-27	5	0	NA
fca874a8cfb9a9f65854928faa2d2cca	2014-01-06	2	0	5
fca874a8cfb9a9f65854928faa2d2cca	2012-06-29	5	0	2
fcbcf5f0eaa4bbfa418a80c7a7a8a633	2015-09-07	1	0	NA
fcbcf5f0eaa4bbfa418a80c7a7a8a633	2012-10-18	0	0	1
fcbcf5f0eaa4bbfa418a80c7a7a8a633	2012-09-13	1	1	0
fcdeb39fa528e84f6fe96e3fba9077f8	2019-08-26	1	0	NA
fcdeb39fa528e84f6fe96e3fba9077f8	2018-08-08	0	0	1
fcdeb39fa528e84f6fe96e3fba9077f8	2017-02-01	1	0	0
fd22d02a676061c16860b56c83246d91	2018-10-22	3	0	NA
fd22d02a676061c16860b56c83246d91	2018-04-19	4	0	3
fd22d02a676061c16860b56c83246d91	2014-09-09	3	0	4
fd2ff9546743a45c29f978de9d5f2134	2015-04-13	4	0	NA
fd2ff9546743a45c29f978de9d5f2134	2013-05-27	5	0	4
fd5480be411a92b07e401dcb3372c8a7	2017-02-21	1	0	NA
fd5480be411a92b07e401dcb3372c8a7	2016-08-17	1	0	1
fd5480be411a92b07e401dcb3372c8a7	2014-03-12	1	0	1
fd5480be411a92b07e401dcb3372c8a7	2014-02-25	0	0	1
fd5480be411a92b07e401dcb3372c8a7	2013-08-01	1	0	0
fd5480be411a92b07e401dcb3372c8a7	2013-04-03	1	0	1
fd5480be411a92b07e401dcb3372c8a7	2012-04-03	2	0	1
fd5480be411a92b07e401dcb3372c8a7	2011-09-08	1	0	2
fd5480be411a92b07e401dcb3372c8a7	2010-11-18	1	NA	1
fd923c958a13be503541d9a56e0d21ee	2019-07-01	2	0	NA
fd923c958a13be503541d9a56e0d21ee	2015-03-13	4	1	2
fd923c958a13be503541d9a56e0d21ee	2014-09-01	4	0	4
fded5a3df862d4ca956d02115d2bc5fc	2017-01-11	3	0	NA
fded5a3df862d4ca956d02115d2bc5fc	2016-08-22	5	0	3
fe1e2ff4a824ce8be240f858243dd3c1	2016-10-26	0	0	NA
fe1e2ff4a824ce8be240f858243dd3c1	2016-01-27	3	0	0
fe1e2ff4a824ce8be240f858243dd3c1	2013-04-19	3	0	3
fe1e2ff4a824ce8be240f858243dd3c1	2011-04-20	2	2	3
fe28b53f054750e55b888f67ba8ba552	2016-05-26	0	0	NA
fe28b53f054750e55b888f67ba8ba552	2015-03-10	0	0	0
fe28b53f054750e55b888f67ba8ba552	2014-03-28	1	0	0
fe28b53f054750e55b888f67ba8ba552	2012-07-03	0	0	1
fe28b53f054750e55b888f67ba8ba552	2011-01-11	0	0	0
fe2eb38a980bc153f39ee07bc3ecf116	2015-10-13	2	0	NA
fe2eb38a980bc153f39ee07bc3ecf116	2014-04-15	3	0	2
fe2eb38a980bc153f39ee07bc3ecf116	2013-07-10	3	0	3
fe6ba121474a200c4d7a6035609b8b13	2018-04-12	1	0	NA
fe6ba121474a200c4d7a6035609b8b13	2017-04-17	0	0	1
fe6ba121474a200c4d7a6035609b8b13	2016-03-21	1	0	0
fe772fd9309a0acbfd53ad740b1284ad	2018-09-03	1	0	NA
fe772fd9309a0acbfd53ad740b1284ad	2017-11-10	4	0	1
fe948a9e5b1e780d8c776d06b02b515e	2017-07-25	2	0	NA
fe948a9e5b1e780d8c776d06b02b515e	2017-05-08	4	0	2
fe948a9e5b1e780d8c776d06b02b515e	2017-03-28	4	0	4
fe948a9e5b1e780d8c776d06b02b515e	2016-10-21	4	0	4
fe948a9e5b1e780d8c776d06b02b515e	2013-06-10	3	0	4
feef2419223f6b378bd75a0d382e1001	2015-01-06	0	0	NA
feef2419223f6b378bd75a0d382e1001	2014-03-17	1	0	0
fef3e3d1eeef6e7004d4619c61e94158	2018-07-12	0	0	NA
fef3e3d1eeef6e7004d4619c61e94158	2016-09-07	1	0	0
ff42045891ec7c8246fb1c15e2b17162	2018-04-05	0	0	NA
ff42045891ec7c8246fb1c15e2b17162	2010-01-08	1	NA	0
ffd3f4ed5841cfac947ce546757b8e3f	2015-04-03	2	0	NA
ffd3f4ed5841cfac947ce546757b8e3f	2015-03-27	3	0	2
ffd3f4ed5841cfac947ce546757b8e3f	2014-07-29	2	0	3
ffd3f4ed5841cfac947ce546757b8e3f	2014-03-07	3	0	2
ffd3f4ed5841cfac947ce546757b8e3f	2013-10-15	3	0	3

We looked over cases with 10 or more children (0.15%). These cases can be seen as anomalies, so we decided to discard the number of cases with 10 or more children reported, unless the number of children is replicated in the number of children that entered into a residential program. Also, we decided to replace the number of children in cases where a user did not report any, with the amount of children that entered into a residential treatment, if a user reports living with children. All of these changes were added in the variable called numero_de_hijos_mod.

Additionally, we generated a variable called num_hijos_trat_res_mod that discarded cases with no reported children and that reported not living with children. Also we discarded cases that reported more children in the residential treatment than the amount of children that they declared.

Lastly, we did not modify the question that asked for the relative(s) with whom the user lives. Consistent with the rules above, we could have discarded the cases that did not report any children but declared that they lived with one. However, it is possible that in the last 30 days the user could not have been living with their children, which is why we decided to keep this variable unaltered.

#CONS_C1_df_dup_MAY_2020_prev_6d%>% janitor::tabyl(identidad_de_genero,ha_estado_embarazada_egreso,sexo_2) #esta variable está bien. ha_estado_embarazada_egreso no tiene problemas. 
#5. Embarazo: Al momento del ingreso a tratamiento registrar si la persona está embarazada
#TO.DO BIEN CON ESTA VARIABLE
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

#12. Número de Hijos: Se refiere al número de hijos que la persona tiene al momento de ingresar al tratamiento (son los niños dependientes de la persona, engendrados, criados y adoptados).
#numero_de_hijos
#13. Con cuántos hijos ingresa a tratamiento residencial: Se refiere al número de hijos con que la persona ingresa a un tratamiento residencial
#num_hijos_ing_trat_res

#esto<-CONS_C1_df_dup_MAY_2020_prev_6d%>% dplyr::filter(numero_de_hijos>10)%>% janitor::tabyl(numero_de_hijos,num_hijos_ing_trat_res,con_quien_vive)
mostrar="no"
    if(mostrar=="si"){
CONS_C1_df_dup_MAY_2020_prev_6d%>% dplyr::group_by(hash_key)%>% dplyr::arrange(hash_key, desc(fech_ing))%>% dplyr::mutate(sig_trat_numero_de_hijos=lag(numero_de_hijos))%>% ungroup()%>% group_by(numero_de_hijos,num_hijos_ing_trat_res,sig_trat_numero_de_hijos,con_quien_vive)%>% summarise(n=n())%>% pivot_wider(names_from = con_quien_vive,values_from=n)%>% guardar_tablas("validacion_malo")
}

CONS_C1_df_dup_MAY_2020_prev_6d%>% 
  dplyr::mutate(numero_de_hijos_mod= dplyr::case_when(numero_de_hijos>10 & (num_hijos_ing_trat_res!=numero_de_hijos|is.na(num_hijos_ing_trat_res))~NA_integer_,TRUE~numero_de_hijos))%>%
  #dplyr::filter(numero_de_hijos>10,num_hijos_ing_trat_res!=numero_de_hijos)%>% dplyr::select(numero_de_hijos_mod,num_hijos_ing_trat_res,numero_de_hijos)
  dplyr::mutate(numero_de_hijos_mod= dplyr::case_when(grepl("hij",con_quien_vive) & numero_de_hijos_mod==0 & num_hijos_ing_trat_res>0~num_hijos_ing_trat_res, TRUE~numero_de_hijos_mod))%>%
  #dplyr::filter(numero_de_hijos_mod==num_hijos_ing_trat_res,num_hijos_ing_trat_res>0,grepl("hij",con_quien_vive))%>%dplyr::select(numero_de_hijos_mod,num_hijos_ing_trat_res,numero_de_hijos,con_quien_vive) 
  dplyr::mutate(num_hijos_trat_res_mod= dplyr::case_when(numero_de_hijos_mod==0 & grepl("hij",con_quien_vive)~NA_integer_,TRUE~num_hijos_ing_trat_res))%>%
  dplyr::mutate(num_hijos_trat_res_mod= dplyr::case_when(num_hijos_trat_res_mod>numero_de_hijos_mod~NA_integer_,TRUE~num_hijos_trat_res_mod))%>%
  assign("CONS_C1_df_dup_MAY_2020_prev_6e",., envir = .GlobalEnv)

mostrar="no"
    if(mostrar=="si"){
CONS_C1_df_dup_MAY_2020_prev_6e%>% dplyr::group_by(hash_key)%>% dplyr::arrange(hash_key, desc(fech_ing))%>% dplyr::mutate(sig_trat_numero_de_hijos=lag(numero_de_hijos_mod))%>% ungroup()%>% group_by(numero_de_hijos_mod,num_hijos_trat_res_mod,sig_trat_numero_de_hijos,con_quien_vive)%>% summarise(n=n())%>% pivot_wider(names_from = con_quien_vive,values_from=n)%>% guardar_tablas("validacion_malo")
}

#19. Con quién vive
#Convivencia en los 30 días previos a la admisión a tratamientos
      #CONS_C1_df_dup_MAY_2020_prev_6e%>%
      #  dplyr::mutate(con_quien_vive_mod= dplyr::case_when(numero_de_hijos_mod==0 & grepl("hij",as.character(con_quien_vive))~ NA_character_,TRUE~as.character(con_quien_vive)))%>%
        #::filter(numero_de_hijos_mod==0,grepl("hij",con_quien_vive_mod))%>% dplyr::select(con_quien_vive_mod,numero_de_hijos_mod)
      #  assign("CONS_C1_df_dup_MAY_2020_prev_6e",., envir = .GlobalEnv)

#a los que responden más de 
#Valor máximo. Se reemplazan valores >=10 de encontrarse (0,15%), con los valores de numero de hijos ingreso a trat residencial
#Se reemplazan valores 0 con los valores de numero de hijos de ingreso a trat residencial, en caso que señalen vivir con hijos
#si numero_de_hijos e num_hijos_ing_trat_res igual 0, no puede tener categorías vive con hijos.
#Si tiene más o iyou

We observed two variables: Motive of admission and a variable that indicates if the user is in a Drug Treatment Courts Modality.

#Cuando el usuario es Beneficiario del Programa Tribunales de Tratamiento de Drogas para Infractores Bajo Supervisión Judicial. Esta opción es para aquellos establecimientos que tiene asignados planes de SCP (suspensión condicional del procedimiento). 

#CONS_C1_df_dup_MAY_2020_prev_6e%>% dplyr::mutate(edad_al_ing_grp=cut(edad_al_ing,10)%>% janitor::tabyl(usuario_tribunal_trat_droga,edad_al_ing_grp,sort=T)

CONS_C1_df_dup_MAY_2020_prev_6e%>% janitor::tabyl(origen_ingreso_mod,usuario_tribunal_trat_droga,sort=T)%>% adorn_percentages("col")%>% adorn_pct_formatting()%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
            caption="Table 9. Motive of Admission to Treatment by User of Drug Treatment Courts Modality",
            align= c("l",rep('c',3)), col.names = c("Motive of Admission","No","Yes", "NULL"))%>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
    kableExtra::add_footnote("Note= Percentages by Column", notation = "none")%>%
            kableExtra::scroll_box(width= "100%", height = "225x")

Table 9. Motive of Admission to Treatment by User of Drug Treatment Courts Modality

Motive of Admission	No	Yes	NULL
Consulta Espontánea	44.1%	13.6%	47.9%
Derivación Asistida	14.4%	7.9%	6.4%
Otros	4.9%	4.1%	5.1%
Sector Justicia	7.4%	65.2%	10.1%
Sector Salud	29.2%	9.1%	30.5%
Note= Percentages by Column

As seen in the table above, most of the users that were in a drug treatment courts modality entered a treatment motivated by initiatives from the justice sector. However, we could not define a rule to estimate if one value of the variables is valid or not.

One of the variables that is not available in the glossary of terms provided by SENDA are the ones related to reported disability and cause of disability.

CONS_C1_df_dup_MAY_2020_prev_6e%>% janitor::tabyl(opcion_discapacidad,discapacidad,sort=T)%>% adorn_percentages("col")%>% adorn_pct_formatting()%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
            caption="Table 10. Motive of Admission to Treatment by User of Drug Treatment Courts Modality",
            align= c("l",rep('c',3)), col.names = c("Motive of Admission","No","Yes", "NULL"))%>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
    kableExtra::add_footnote("Note= Percentages by Column", notation = "none")%>%
            kableExtra::scroll_box(width= "100%", height = "225x")

Table 10. Motive of Admission to Treatment by User of Drug Treatment Courts Modality

Motive of Admission	No	Yes	NULL
de causa Psíquica	0.0%	28.6%	0.0%
de origen auditivo	0.0%	5.8%	0.0%
de origen físico	0.0%	38.6%	0.0%
de origen Intelectual	0.0%	19.5%	0.0%
de origen Visual	0.0%	7.6%	0.0%
NA	100.0%	0.0%	100.0%
Note= Percentages by Column

invisible(c("1.diagnostico_trs_fisico"));invisible(c("2.otros_probl_at_sm_or"))

As seen in the Table above, most of the reported causes of disability were physical and psychic. However, there were no evident errors of classification of types depending on disabilities.

5.Overview of spaces between treatments

At this point, it was necessary to differentiate between intermediate treatment events (referrals, changes in the treatment center, among others) and different treatments. But what would be a suitable cut-off point?, that is why we explored the amount of days between each entry in users that had more than one treatment. This was done through the difference between the date of admission of a subsequent (more recent) entry of a user, and the date of discharge of the entry.

CONS_C1_df_dup_MAY_2020_prev_6e_exp_spaces<-
      CONS_C1_df_dup_MAY_2020_prev_6e %>%
          dplyr::group_by(hash_key) %>%
          dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
          dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp))) %>%
          dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
          dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
          dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
          dplyr::filter(!is.na(dias_trat_imp))%>%
          #dplyr::select(hash_key,fech_ing,fech_ing_num_may20,fech_egres_imp, fech_egres_num_may20,dias_trat_imp,fech_ing_next_treat,diff_bet_treat)
          dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,motivodeegreso_imp,motivodeegreso_mod_imp,id_centro)

knitr::kable(cbind(data.frame(psych::describe(CONS_C1_df_dup_MAY_2020_prev_6e_exp_spaces$diff_bet_treat)),t(quantile(CONS_C1_df_dup_MAY_2020_prev_6e_exp_spaces$diff_bet_treat,c(.10,.25,.5,.75,.9),na.rm=T))),
            format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
            caption="Table 11. Summary Table for Difference Between Treatments (with the following entry)",
            align =rep('c', 101))  %>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
        kableExtra::scroll_box(width = "100%", height = "150px")

Table 11. Summary Table for Difference Between Treatments (with the following entry)

	vars	n	mean	sd	median	trimmed	mad	min	max	range	skew	kurtosis	se	10%	25%	50%	75%	90%
X1	1	31,609	434.0835	574.1905	199	315.3274	292.0722	0	3,464	3,464	1.898423	3.702513	3.229614	1	19	199	623	1,244

#117,387
#85,722 unique hash key
# 109,268 = 8119 fechas de egreso perdidas
#
#quantile(CONS_C1_df_dup_MAY_2020_prev_2_exp_spaces$diff_bet_treat,c(seq(1,100)/100),na.rm=T)
quantiles_diff_bet_treat<-data.table::data.table(cbind(quantile(CONS_C1_df_dup_MAY_2020_prev_6e_exp_spaces$diff_bet_treat,c(seq(1,100)/100),na.rm=T)),keep.rownames = T)
#117387-31665

#diff_bet_treat= siempre es la diferencia con el siguiente tratmaiento

Considering the distribution of differences in days between each entry and what was discussed with the team of professionals of SENDA in charge of treatments, we defined the cut-off point at 60 days, which represented 34% of the total differences (n= 31,609).

p<-ggplot(CONS_C1_df_dup_MAY_2020_prev_6e_exp_spaces,aes(x=diff_bet_treat), alpha=.7)+
  geom_histogram_interactive(bins=120)+
  geom_vline(aes(xintercept=30), color="darkred", linetype="dashed")+
  geom_vline(aes(xintercept=45), color="darkmagenta", linetype="solid")+
  geom_vline(aes(xintercept=60), color="darkblue", linetype="dotted")+
  theme_bw() +
  #facet_wrap(~motivodeegreso_mod_imp)+
labs(y = "Frequency",x="Diff. Between Treatments", caption= "Blue dotted line= 60 days; Violet solid line= 45 days; Red dashed line= 30 days")#+
# xlim(c(-1,2000))

ggiraph(code = {print(p)}, tooltip_extra_css = tooltip_css, tooltip_opacity = .75)

Warning: Removed 77484 rows containing non-finite values (stat_bin).

Figure 8. Histogram of Diff Between Treatments

5.1. Cause of discharge

We explored how the distribution was between the causes of discharge depending on treatment conditions. This could be useful to get an impression of the adjustment of the cut-off point chosen.

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_
### Casos que tienen un motivo de egreso de derivación, pero en
cause_sin_otro_trat <-
      CONS_C1_df_dup_MAY_2020_prev_6e %>%
        dplyr::group_by(hash_key) %>%
        dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
        dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp))) %>%
        dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
        dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
        dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
        dplyr::ungroup()%>%
        dplyr::mutate(caso=case_when(is.na(diff_bet_treat) & motivodeegreso_mod=="Derivación"~"1.sin tratamiento posterior, con motivo derivación",TRUE~""))%>%
        #dplyr::filter(grepl('1.sin tratamiento', caso))%>%
       # dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,motivodeegreso_imp,motivodeegreso_mod_imp,id_centro)
    # 1. Motivo de egreso
        dplyr::filter(is.na(diff_bet_treat)) %>% 
  janitor::tabyl(motivodeegreso_mod_imp)  %>%
        dplyr::mutate(percent=percent*100,
                       valid_percent=valid_percent*100)
    # Una8817 tiene como motivo Derivación
        #dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,motivodeegreso_imp,motivodeegreso_mod_imp_imp,id_centro)

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_
#CON TRATAMIENTO POSTERIOR, MENOR O IGUAL A 60 DIAS

cause_menor_60_dias<-
      CONS_C1_df_dup_MAY_2020_prev_6e %>%
        dplyr::group_by(hash_key) %>%
        dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
        dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp))) %>%
        dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
        dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
        dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
        dplyr::ungroup()%>%
        dplyr::mutate(caso=case_when(is.na(diff_bet_treat) & motivodeegreso_mod_imp=="Derivación"~"1.sin tratamiento posterior, con motivo derivación",TRUE~""))%>%
        #dplyr::filter(grepl('1.sin tratamiento', caso))%>%
       # dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,motivodeegreso_imp,motivodeegreso_mod_imp,id_centro)
    # 1. Motivo de egreso
        dplyr::filter(!is.na(diff_bet_treat),diff_bet_treat<=60) %>% 
    janitor::tabyl(motivodeegreso_mod_imp)%>%
        dplyr::mutate(percent=percent*100 ,
                       valid_percent=valid_percent*100)

cause_mayor_60_dias<-
      CONS_C1_df_dup_MAY_2020_prev_6e %>%
        dplyr::group_by(hash_key) %>%
        dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
        dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp))) %>%
        dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
        dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
        dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
        dplyr::ungroup()%>%
        dplyr::mutate(caso=case_when(is.na(diff_bet_treat) & motivodeegreso_mod_imp=="Derivación"~"1.sin tratamiento posterior, con motivo derivación",TRUE~""))%>%
        #dplyr::filter(grepl('1.sin tratamiento', caso))%>%
       # dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,motivodeegreso_imp,motivodeegreso_mod_imp,id_centro)
    # 1. Motivo de egreso
        dplyr::filter(!is.na(diff_bet_treat),diff_bet_treat>60) %>% 
    janitor::tabyl(motivodeegreso_mod_imp)%>%
        dplyr::mutate(percent=percent*100 ,
                       valid_percent=valid_percent*100)
 
 #_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
library(ggplot2) 
library(treemapify)

dt_cause_discharge<-data.frame(
            rbind(
            cbind(Status="Only one Entry", cause_sin_otro_trat[1:3]),
            cbind(Status=">1 Entry, <= 60d",cause_menor_60_dias[1:3]),
            cbind(Status=">1 Entry, >60d",cause_mayor_60_dias[1:3])
            )
      ) %>% dplyr::mutate(percent= paste0(round(as.numeric(percent)),"%"))%>%
  dplyr::mutate(tooltip=paste0(`motivodeegreso_mod_imp`,"=",`n`,"\n", percent))


# plot
plot<-ggplot(dt_cause_discharge, aes(area = n, 
                               fill = motivodeegreso_mod_imp,
                               label = percent,
                               subgroup=Status)) +
  geom_treemap() +
  geom_treemap_subgroup_border(color="grey25") +
  scale_fill_brewer(palette = "Blues",na.value = "gray70") +
  geom_treemap_subgroup_text(place = "centre", grow = T, alpha = 0.5, colour =
                             "black", fontface = "bold", min.size = 1) +
  geom_treemap_text(colour = "blue4",fontface = "italic", place = "centre", reflow = T, alpha=.6,size = 10.5)+
  geom_rect_interactive(alpha = 0.1, xmin=.1, xmax=.1, ymin=.1,ymax=.1) +
  # Remove plot elements added by geom_rect_interactive
  scale_x_continuous(expand = c(0, 0)) +
  scale_y_continuous(expand = c(0, 0)) +
    theme_void()+
  theme(legend.position="bottom")+
  guides(fill=guide_legend(ncol=4))+
  theme(legend.text = element_text(size=9))+
  theme(legend.title = element_blank())+
  theme(axis.text = element_blank(), axis.ticks = element_blank())

# Draw with ggiraph
ggiraph(code = print(plot))

Figure 9. Treemap of Cause of Discharge Depending On Treatment/Events Conditions

#ggiraph(code = {print(plot)}, tooltip_extra_css = tooltip_css, tooltip_opacity = .75 )

As can be seen in Figure 8, Referrals in cases with more than one entry by user and equal to or less than 60 days of difference between them were overwhelmingly superior compared to the same category among entries that had more than 60 days of difference. Also, users that only had one treatment in the study period had a small proportion of referrals compared to cases with more than one entry by user, with equal to or less than 60 days of difference between the last treatment.

5.2. Changes between the last treatments

We considered that it was important to explore the changes between one entry of a user and their previous entry, since this can shed light on if a certain entry can really be considered as a different treatment from another, leading to identify a true readmission.

CONS_C1_df_dup_MAY_2020_prev_6e %>%
    dplyr::group_by(hash_key) %>%
    dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
    dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp)))%>%
    dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
    dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
    dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
    dplyr::mutate(id_centro_sig_trat=dplyr::lag(id_centro)) %>%
    dplyr::mutate(tipo_plan_sig_trat=dplyr::lag(tipo_de_plan_2)) %>%
    dplyr::mutate(tipo_programa_sig_trat=dplyr::lag(tipo_de_programa_2)) %>%
    dplyr::mutate(senda_sig_trat=dplyr::lag(senda)) %>%
  dplyr::ungroup()%>%
  #ver los criterios ppt
    dplyr::filter(!is.na(diff_bet_treat),diff_bet_treat<=60) %>%
    
    dplyr::mutate(obs_cambios=case_when(id_centro_sig_trat!=id_centro~"1.1.cambio centro",TRUE~""))%>%
    dplyr::mutate(obs_cambios=case_when(tipo_plan_sig_trat!=tipo_de_plan_2~glue::glue("{obs_cambios};1.2.cambio tipo plan"),TRUE~obs_cambios))%>%
    dplyr::mutate(obs_cambios=case_when(tipo_programa_sig_trat!=tipo_de_programa_2~glue::glue("{obs_cambios};1.3.cambio tipo programa"),TRUE~obs_cambios))%>%
    dplyr::mutate(obs_cambios=case_when(senda_sig_trat!=senda~glue::glue("{obs_cambios};1.4.cambio senda"),TRUE~obs_cambios))%>%
  
    dplyr::mutate(obs_cambios_num=case_when(id_centro_sig_trat!=id_centro~1,TRUE~0))%>%
    dplyr::mutate(obs_cambios_num=case_when(tipo_plan_sig_trat!=tipo_de_plan_2~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
    dplyr::mutate(obs_cambios_num=case_when(tipo_programa_sig_trat!=tipo_de_programa_2~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
    dplyr::mutate(obs_cambios_num=case_when(senda_sig_trat!=senda~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
  
  dplyr::select(row,hash_key,fech_ing,fech_egres_imp, dias_trat_imp,diff_bet_treat,obs_cambios) %>% 
  janitor::tabyl(obs_cambios)%>%
        dplyr::mutate(percent=round(percent*100,1))%>%
  knitr::kable(format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
            caption="Table 12. Frequency and Percentage of Types of Changes Between Treatments (<=60 days between treatments)",
            col.names = c("Changes", "No.", "%"),
            align =rep('c', 101))  %>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
        kableExtra::scroll_box(width = "100%", height = "350px")

Table 12. Frequency and Percentage of Types of Changes Between Treatments (<=60 days between treatments)

Changes	No.	%
	1,218	11.6
;1.2.cambio tipo plan	1,069	10.2
;1.2.cambio tipo plan;1.3.cambio tipo programa	143	1.4
;1.2.cambio tipo plan;1.3.cambio tipo programa;1.4.cambio senda	22	0.2
;1.2.cambio tipo plan;1.4.cambio senda	62	0.6
;1.3.cambio tipo programa	3	0.0
;1.3.cambio tipo programa;1.4.cambio senda	2	0.0
;1.4.cambio senda	128	1.2
1.1.cambio centro	937	8.9
1.1.cambio centro;1.2.cambio tipo plan	4,664	44.3
1.1.cambio centro;1.2.cambio tipo plan;1.3.cambio tipo programa	1,658	15.7
1.1.cambio centro;1.2.cambio tipo plan;1.3.cambio tipo programa;1.4.cambio senda	112	1.1
1.1.cambio centro;1.2.cambio tipo plan;1.4.cambio senda	387	3.7
1.1.cambio centro;1.3.cambio tipo programa	50	0.5
1.1.cambio centro;1.3.cambio tipo programa;1.4.cambio senda	6	0.1
1.1.cambio centro;1.4.cambio senda	71	0.7

From the Table above, we can see that the majority of cases changed center and type of plan (44.2%). These are followed by a group that changed treatment center, type of plan and type of program (15.7%). There was another group that did not change in any characteristic from the earlier entry (11.6%). Also, a group of cases only changed the type of plan (10.2%), and another, only changed from one center to another (8.9%).

We fitted a model of the interactive effect of the number of changes from the next entry with referral, on the odds of showing <=60 days of difference with the next entry We suspected a nonlinear effect of reporting the next treatment with a cause of discharge as a referral. This difference may not be the same for cases that changed in one, two, three or even four of characteristics of the treatment between the first and next entry.

#       main= "Efecto conjunto de Cambios en Características de Tratamiento y Motivo de \n egreso (Derivación), en la probabilidad de que el Tratamiento Dure Menos o Igual de 60 días",

CONS_C1_df_dup_MAY_2020_prev_6e_glm_mas_de_un_trat <-
  CONS_C1_df_dup_MAY_2020_prev_6e %>%
  dplyr::group_by(hash_key) %>%
  dplyr::mutate(fech_ing_num_may20=as.numeric(as.Date(fech_ing))) %>%
  dplyr::mutate(fech_egres_num_may20=as.numeric(as.Date(fech_egres_imp))) %>%
  dplyr::mutate(fech_egres_num_may20=ifelse(is.na(fech_egres_imp),18213,fech_egres_num_may20)) %>% #equivalente a 2019-11-13
  dplyr::mutate(fech_ing_next_treat=dplyr::lag(fech_ing_num_may20)) %>%
  dplyr::mutate(diff_bet_treat=fech_ing_next_treat-fech_egres_num_may20)%>%
  dplyr::mutate(id_centro_sig_trat=dplyr::lag(id_centro)) %>%
  dplyr::mutate(tipo_plan_sig_trat=dplyr::lag(tipo_de_plan_2)) %>%
  dplyr::mutate(tipo_programa_sig_trat=dplyr::lag(tipo_de_programa_2)) %>%
  dplyr::mutate(senda_sig_trat=dplyr::lag(senda)) %>%
  dplyr::ungroup()%>%
  #para tener sólo los casos que corresponde, que tienen comparaciones con un siguiente. Los otros no me interesan
  dplyr::filter(!is.na(diff_bet_treat))%>%
  dplyr::mutate(menor_60_dias_diff=case_when(diff_bet_treat<60~1,TRUE~0))%>%
  dplyr::mutate(motivoegreso_derivacion=case_when(motivodeegreso_mod_imp=="Derivación"~1,TRUE~0))%>%
  
  dplyr::mutate(obs_cambios=case_when(id_centro_sig_trat!=id_centro~"1.1.cambio centro",TRUE~""))%>%
  dplyr::mutate(obs_cambios=case_when(tipo_plan_sig_trat!=tipo_de_plan_2~glue::glue("{obs_cambios};1.2.cambio tipo plan"),TRUE~obs_cambios))%>%
  dplyr::mutate(obs_cambios=case_when(tipo_programa_sig_trat!=tipo_de_programa_2~glue::glue("{obs_cambios};1.3.cambio tipo programa"),TRUE~obs_cambios))%>%
  dplyr::mutate(obs_cambios=case_when(senda_sig_trat!=senda~glue::glue("{obs_cambios};1.4.cambio senda"),TRUE~obs_cambios))%>%
  dplyr::mutate(obs_cambios_ninguno=case_when(obs_cambios==""~1,TRUE~0))%>%
  dplyr::mutate(obs_cambios_num=case_when(id_centro_sig_trat!=id_centro~1,TRUE~0))%>%
  dplyr::mutate(obs_cambios_num=case_when(tipo_plan_sig_trat!=tipo_de_plan_2~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
  dplyr::mutate(obs_cambios_num=case_when(tipo_programa_sig_trat!=tipo_de_programa_2~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
  dplyr::mutate(obs_cambios_num=case_when(senda_sig_trat!=senda~obs_cambios_num+1,TRUE~obs_cambios_num))%>%
  dplyr::mutate(obs_cambios_num=as.numeric(obs_cambios_num))%>%
  dplyr::mutate(obs_cambios_ninguno=as.factor(obs_cambios_ninguno))%>%
  dplyr::mutate(motivoegreso_derivacion=as.factor(motivoegreso_derivacion))%>%
  dplyr::mutate(menor_60_dias_diff=as.factor(menor_60_dias_diff))%>%
  dplyr::mutate(obs_cambios_fac=as.factor(obs_cambios_num))

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
no_mostrar=0
if(no_mostrar>0){
  CONS_C1_df_dup_MAY_2020_prev_6e_glm_mas_de_un_trat%>% 
     dplyr::group_by(hash_key) %>% 
     dplyr::mutate(less_10=ifelse(diff_bet_treat<10,1,0),less_10=sum(less_10,na.rm=T))%>% 
     dplyr::ungroup() %>% 
     dplyr::filter(less_10>1)%>% 
     dplyr::select(hash_key,fech_ing, fech_egres_imp,fech_ing_next_treat,diff_bet_treat, motivodeegreso_mod_imp)%>% 
     View()
}
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
#Para ver el efecto de los cambios entre un tratamiento y otro y el motivo de egreso derivación, en que la distancia enrte un tratamiento a otro sea mayor a 60 días.

glm_60d <- glm(menor_60_dias_diff ~ motivoegreso_derivacion*obs_cambios_fac, 
                data=CONS_C1_df_dup_MAY_2020_prev_6e_glm_mas_de_un_trat, family="binomial")
library(finalfit)
#explanatory = c("age.factor*sex.factor", "obstruct.factor", "perfor.factor")
CONS_C1_df_dup_MAY_2020_prev_6e_glm_mas_de_un_trat %>%
  dplyr::mutate(obs_cambios_fac= ff_label(obs_cambios_fac, "No. of Changes Between Datasets"),
                motivoegreso_derivacion= ff_label(motivoegreso_derivacion, "Cause of Discharge (Referral=1)"),
                menor_60_dias_diff= ff_label(menor_60_dias_diff, "< 60 days of difference between next treatment"))%>%
    ff_interaction(motivoegreso_derivacion, obs_cambios_fac) %>% 
    finalfit("menor_60_dias_diff", "motivoegreso_derivacion__obs_cambios_fac") -> t 

Waiting for profiling to be done...
Waiting for profiling to be done...

knitr::kable(t,format = "html", format.args = list(decimal.mark = ".", big.mark = ","),
            caption="Table 13. Summary Table for Difference Between Treatments",
            align =rep('c', 101))  %>%
        kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size = 8) %>%
        kableExtra::scroll_box(width = "100%", height = "350px")

Table 13. Summary Table for Difference Between Treatments

Dependent: < 60 days of difference between next treatment		0	1	OR (univariable)	OR (multivariable)
Cause of Discharge (Referral=1):No. of Changes Between Datasets	0|0	6861 (88.1)	931 (11.9)
	0|1	4284 (84.9)	761 (15.1)	1.31 (1.18-1.45, p<0.001)	1.31 (1.18-1.45, p<0.001)
	0|2	5062 (80.8)	1203 (19.2)	1.75 (1.60-1.92, p<0.001)	1.75 (1.60-1.92, p<0.001)
	0|3	1889 (77.6)	546 (22.4)	2.13 (1.89-2.39, p<0.001)	2.13 (1.89-2.39, p<0.001)
	0|4	143 (79.9)	36 (20.1)	1.86 (1.26-2.66, p=0.001)	1.86 (1.26-2.66, p=0.001)
	1|0	827 (76.0)	261 (24.0)	2.33 (1.99-2.71, p<0.001)	2.33 (1.99-2.71, p<0.001)
	1|1	650 (32.2)	1369 (67.8)	15.52 (13.83-17.44, p<0.001)	15.52 (13.83-17.44, p<0.001)
	1|2	911 (19.5)	3772 (80.5)	30.51 (27.64-33.73, p<0.001)	30.51 (27.64-33.73, p<0.001)
	1|3	443 (22.5)	1523 (77.5)	25.34 (22.36-28.76, p<0.001)	25.34 (22.36-28.76, p<0.001)
	1|4	61 (44.5)	76 (55.5)	9.18 (6.52-12.99, p<0.001)	9.18 (6.52-12.99, p<0.001)

In the following figure, we show the marginal effects on the probability of having 60 days or less of difference with the next entry, depending on the cause of discharge (referral) and the number of changes in the characteristics of treatments with the next entry.

#
library("effects")
    #Effect(focal.predictors = "diff_bet_treat",polrMod)
    #plot(Effect(focal.predictors = "motivoegreso_derivacion",polrMod))
    plot(Effect(focal.predictors = c("obs_cambios_fac", "motivoegreso_derivacion"),glm_60d),
       ylab= "Probability of <60 days of \ndiff. w/ next treatment", 
       xlab="No. of Changes in the Treatment Characteristics",
       main=NULL,
       #esto si se quiere dejar todos los niveles juntos, y no hacer gráficos por separado
       rug = FALSE,
       style="stacked")

library(lsmeans)
refR <- lsmeans(glm_60d, specs = c("motivoegreso_derivacion","obs_cambios_fac"))
ref_dfR <- as.data.frame(cbind(summary(refR)[1:2],exp(summary(refR)[,c(3,6,7)])))

g4R <- ggplot(ref_dfR, aes(x=obs_cambios_fac, y=lsmean,group=motivoegreso_derivacion, colour=motivoegreso_derivacion))+
geom_errorbar(aes(ymin=asymp.LCL, ymax=asymp.UCL), width=.1,position=position_dodge(0.1), size=1) +
geom_line(position=position_dodge(0.1), size=.5)+
geom_point(position=position_dodge(0.1), size=2)+
  xlab("No. of Changes in the Treatment Characteristics")+
  ylab("Odds Ratio (OR) of <60 days of \ndiff. w/ next entry")+
  theme_bw() +
  geom_rect_interactive(alpha = 0.1, xmin=.1, xmax=.1, ymin=.1,ymax=.1) +
    # Remove plot elements added by geom_rect_interactive
  theme(legend.position="bottom")+
  guides(color=guide_legend(ncol=4,name = "Cause of Discharge"))+
  labs(color="Cause of Discharge")+
  scale_colour_brewer(palette = "Set1",labels=c("Other Causes", "Referral"))+
  theme(legend.title = element_blank())
  #theme(axis.text = element_blank(), axis.ticks = element_blank())

ggiraph(code = print(g4R))

Figure 10. Interactive Effects on Odds of having <60 days of difference with the previous entry

#The lsmeans statement estimates least squares means, or predicted population margins, which are the expected values (means) of the outcome in a population where the levels of all class variables are balanced and averaged over the effects of the continuous covariates. We can estimate these means at each level of categorical age and across female.

Figure 10 shows that there was more chance to have a minor difference with the next treatment, if the cause of discharge was a referral and a user had among 2 or 3 changes in the characteristics of the treatment in the following entry. However, it must be noted that referrals had more chance than other causes of discharge by itself, regardless of the number of changes.

6. Include variables of the difference between treatments with the original dataset

CONS_C1_df_dup_MAY_2020_prev_6e%>%
  dplyr::left_join(CONS_C1_df_dup_MAY_2020_prev_6e_glm_mas_de_un_trat[c("row","menor_60_dias_diff","diff_bet_treat","id_centro_sig_trat","tipo_plan_sig_trat","tipo_programa_sig_trat","senda_sig_trat","motivoegreso_derivacion","obs_cambios","obs_cambios_ninguno","obs_cambios_num","obs_cambios_fac")], by="row")%>%
  assign("CONS_C1_df_dup_JUN_2020",., envir = .GlobalEnv)

6.1. Type of referral

We looked over the center in which each user was referred, but considered the cause of admission.

#Además deberá especificarse el tipo de establecimiento al que se deriva:
##1. APS*;##2. COSAM**; ##3. Hospital (Ambulatorio ej. H. Diurno, Atención ambulatoria de especialidad); ##4. Hospital (residencial ej. Corta, Mediana Estadía, Unidad de Desintoxicación); ##5. Comunidad Terapéutica Ambulatoria; ##6. Comunidad Terapéutica Residencial; ##7. Clínica Ambulatoria; ##8. Clínica Residencial; ##9. Otro Centro; ##*APS: se refiere a cualquier establecimiento de atención primaria de salud como Centro de Salud Familiar (CESFAM), Centro de Salud Urbano (Consultorio, Centro de Salud), Centro de Salud Rural, Posta Salud Rural), Centro Comunitario de Salud Familiar (CECOF), Servicio de Atención Primaria de Urgencia (SAPU); ##** Centro Comunitario de Salud Mental (CESAMCO, CSMC, ESSMA, CESAM, etc.) 

CONS_C1_df_dup_JUN_2020%>% janitor::tabyl(tipo_centro_derivacion,motivodeegreso_mod_imp,sort=T)%>% adorn_percentages("col")%>% adorn_pct_formatting(rounding = "half up", digits = 1) %>% adorn_ns()%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
               caption="Table 14. Type of Center of Referral by the Cause of Discharge",
               align= c("l",rep('c', 5)), col.names = c("Type of Center of Referral","Late Withdrawal","Early Withdrawal", "Administrative Discharge","Therapeutic Discharge","Referral","Death","NA"))%>%
  kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
        kableExtra::add_footnote("Note= Percentages by Column", notation = "none")%>%
  kableExtra::scroll_box(width= "100%", height = "375x")

Table 14. Type of Center of Referral by the Cause of Discharge

Type of Center of Referral	Late Withdrawal	Early Withdrawal	Administrative Discharge	Therapeutic Discharge	Referral	Death	NA
APS	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	3.4% (631)	0.0% (0)	0.0% (0)
Clínica Ambulatoria	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	0.1% (28)	0.0% (0)	0.0% (0)
Clínica Residencial	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	0.3% (59)	0.0% (0)	0.0% (0)
Comunidad Terapéutica Ambulatoria	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	3.5% (654)	0.0% (0)	0.0% (0)
Comunidad Terapéutica Residencial	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	9.6% (1796)	0.0% (0)	0.0% (0)
COSAM	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	7.4% (1380)	0.0% (0)	0.0% (0)
Hospital (Ambulatorio ej. H. Diurno, Atención ambulatoria de especialidad)	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	3.8% (704)	0.0% (0)	0.0% (0)
Hospital (residencial ej. Corta, Mediana Estadía, Unidad de Desintoxicación)	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	1.3% (244)	0.0% (0)	0.0% (0)
Otro Centro	0.0% (0)	0.0% (0)	0.0% (0)	0.0% (0)	2.8% (521)	0.0% (0)	0.0% (0)
NA	100.0% (37231)	100.0% (18739)	100.0% (9797)	100.0% (24602)	67.8% (12686)	100.0% (1)	100.0% (8139)
Note= Percentages by Column

From the Table 14, we can see that no other causes of discharge had a type of referral, so there was no reason to alter this variable.

 CONS_C1_df_dup_JUN_2020%>% 
    dplyr::filter(!is.na(diff_bet_treat))%>%
    #dplyr::mutate(motivoegreso_derivacion=factor(motivoegreso_derivacion, levels = c("Motivo: Otro", "Motivo: Derivación","NA")))%>%
    dplyr::mutate(obs_cambios_num=factor(obs_cambios_num))%>%
    
    dplyr::mutate(diff_bet_treat_bar=round(diff_bet_treat,0)) %>%
    dplyr::mutate(diff_bet_treat_bar=cut2(diff_bet_treat_bar, g =40))%>%
    
    dplyr::mutate(grupo_var=obs_cambios_num)%>%
    dplyr::group_by(diff_bet_treat_bar, grupo_var,motivoegreso_derivacion)%>%
    summarise(n_2_grupos=n())%>%
    dplyr::ungroup()%>%
    dplyr::group_by(motivoegreso_derivacion,diff_bet_treat_bar)%>%
    dplyr::mutate(freq = (n_2_grupos / sum(n_2_grupos)))%>%
    dplyr::ungroup()%>%
    
    ggplot2::ggplot(aes(x = diff_bet_treat_bar, y = freq,fill=grupo_var))+
    geom_bar(stat='identity', alpha=.8) + 
    scale_x_discrete()+
    scale_fill_viridis(discrete = T, name= "No. of changes") +
    theme_bw()+
    labs(x="",y="Percentages ",
         caption= paste0("Note. ;\n", 
                         ""))+
    #ylim(0,101)+
    scale_y_continuous(limits=c(0,1),labels = scales::percent) +
    theme(legend.position="bottom")+
    guides(fill=guide_legend(title="No. de cambios",ncol=5))+
    theme(legend.text = element_text(size=10))+
    theme(legend.title = element_blank(),
          panel.grid.minor = element_blank(), 
          panel.grid.major = element_blank(), 
          panel.grid.major.x = element_blank(),
          panel.background = element_blank(),
          axis.title.x = element_blank())+
    theme(axis.text.x = element_text(vjust = 0.5,hjust = 0.5,angle = 90, size= 6.5), plot.caption= element_text(hjust=0))+
    facet_wrap(~motivoegreso_derivacion, labeller = as_labeller(c(`0` = "Motivo:Otro", `1` = "Motivo:Derivación")))+
    geom_vline(aes(xintercept = 45), 
               linetype = "dashed", colour = "red",size = 1)+
    labs(caption=paste0("Note. ",CONS_C1_df_dup_JUN_2020%>% dplyr::filter(is.na(diff_bet_treat))%>% nrow() %>% formatC(big.mark = ",")," obs. had missing data that corresponded to unique treatments by users;\nDays of treatment were divided en 30 equal parts"))

 CONS_C1_df_dup_JUN_2020%>% 
    dplyr::filter(!is.na(diff_bet_treat))%>%
    #dplyr::mutate(motivoegreso_derivacion=factor(motivoegreso_derivacion, levels = c("Motivo: Otro", "Motivo: Derivación","NA")))%>%
    dplyr::mutate(obs_cambios_num=factor(obs_cambios_num))%>%
    
    dplyr::mutate(diff_bet_treat_bar=round(diff_bet_treat,0)) %>%
    dplyr::mutate(diff_bet_treat_bar=cut2(diff_bet_treat_bar, g =35))%>%
    
    dplyr::mutate(grupo_var=obs_cambios_num)%>%
    dplyr::group_by(diff_bet_treat_bar, grupo_var,tipo_centro_derivacion)%>%
    summarise(n_2_grupos=n())%>%
    dplyr::ungroup()%>%
    dplyr::group_by(tipo_centro_derivacion,diff_bet_treat_bar)%>%
    dplyr::mutate(freq = (n_2_grupos / sum(n_2_grupos)))%>%
    dplyr::ungroup()%>%
    
    ggplot2::ggplot(aes(x = diff_bet_treat_bar, y = freq,fill=grupo_var))+
    geom_bar(stat='identity', alpha=.8) + 
    scale_x_discrete()+
    scale_fill_manual(name= "No. of changes",values=c("cornsilk3", "lightskyblue2", "#56B4E9", "steelblue","slategray4")) +
    theme_bw()+
    labs(x="",y="Percentages ", fill="No. of changes")+
    #ylim(0,101)+
    scale_y_continuous(limits=c(0,1),labels = scales::percent) +
    theme(legend.position="bottom")+
    guides(fill=guide_legend(title="No. of changes",ncol=5))+
    theme(legend.text = element_text(size=9))+
    theme(panel.grid.minor = element_blank(), 
          panel.grid.major = element_blank(), 
          panel.grid.major.x = element_blank(),
          panel.background = element_blank(),
          axis.title.x = element_blank())+
    theme(axis.text.x = element_text(vjust = 0.5,hjust = 0.5,angle = 90, size= 6.5), plot.caption= element_text(hjust=0))+
    facet_wrap(~tipo_centro_derivacion, ncol=2, labeller = as_labeller(c(`APS` = "APS", `Clínica Ambulatoria` = "Clínica Ambulatoria",
    `Clínica Residencial` = "Clínica Residencial",`Comunidad Terapéutica Residencial` = "Comunidad Terapéutica Residencial",`COSAM` = "COSAM",`Hospital (Ambulatorio ej. H. Diurno, Atención ambulatoria de especialidad)` = "Hospital (Ambulatorio)",`Hospital (residencial ej. Corta, Mediana Estadía, Unidad de Desintoxicación)` = "Hospital (residencial)",`Otro Centro`="Otro Centro",`NA`="NULL")))+ 
    geom_vline(aes(xintercept = 45), 
               linetype = "dashed", colour = "red",size = 1)+
    labs(fill="No. of changes",caption=paste0("Note. ",CONS_C1_df_dup_JUN_2020%>% dplyr::filter(is.na(diff_bet_treat))%>% nrow() %>% formatC(big.mark = ",")," obs. had missing data that corresponded to unique treatments by users;\nDays of treatment were divided en 35 equal parts"))+
  theme(strip.background =element_rect(colour=NA,fill=NA))+
  theme(strip.text = element_text(colour = 'gray60', size=8),
        plot.caption= element_text(size=7))+
  theme(legend.title = element_text(colour = 'gray30', size=8))

`summarise()` regrouping output by 'diff_bet_treat_bar', 'grupo_var' (override
with `.groups` argument)

Figure 11. Changes with the Next Treatment by No. of Days of Treatment, depending on Type of Referrals

As seen in Figure 12, there was not a clear distribution of changes by days among the different types of center. However, some types of centers of referral had missing areas due to the amount of cases that were referred to that type of center, and/or did not have a more recent treatment to detect eventual changes.

#Además deberá especificarse el tipo de establecimiento al que se deriva:
##1. APS*;##2. COSAM**; ##3. Hospital (Ambulatorio ej. H. Diurno, Atención ambulatoria de especialidad); ##4. Hospital (residencial ej. Corta, Mediana Estadía, Unidad de Desintoxicación); ##5. Comunidad Terapéutica Ambulatoria; ##6. Comunidad Terapéutica Residencial; ##7. Clínica Ambulatoria; ##8. Clínica Residencial; ##9. Otro Centro; ##*APS: se refiere a cualquier establecimiento de atención primaria de salud como Centro de Salud Familiar (CESFAM), Centro de Salud Urbano (Consultorio, Centro de Salud), Centro de Salud Rural, Posta Salud Rural), Centro Comunitario de Salud Familiar (CECOF), Servicio de Atención Primaria de Urgencia (SAPU); ##** Centro Comunitario de Salud Mental (CESAMCO, CSMC, ESSMA, CESAM, etc.) 

CONS_C1_df_dup_JUN_2020%>% dplyr::mutate(no_otro_trat=!is.na(diff_bet_treat))%>% janitor::tabyl(tipo_centro_derivacion,no_otro_trat,sort=T)%>%  
  adorn_percentages("row")%>% adorn_pct_formatting(rounding = "half up", digits = 1) %>% adorn_ns()%>%
  knitr::kable(format= "html", format.args= list(decimal.mark= ".", big.mark= ","),
               caption="Table 15. Type of Center of Referral by the presence of a posterior treatment",
               align= c("l",rep('c', 5)), col.names = c("Type of Center of Referral","Absence of a Posterior Treatment","Presence of a Posterior Treatment"))%>%
  kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size= 8)%>%
          kableExtra::add_footnote("Note= Percentages by Row", notation = "none")%>%
  kableExtra::scroll_box(width= "100%", height = "375x")

Table 15. Type of Center of Referral by the presence of a posterior treatment

Type of Center of Referral	Absence of a Posterior Treatment	Presence of a Posterior Treatment
APS	71.0% (448)	29.0% (183)
Clínica Ambulatoria	42.9% (12)	57.1% (16)
Clínica Residencial	25.4% (15)	74.6% (44)
Comunidad Terapéutica Ambulatoria	33.9% (222)	66.1% (432)
Comunidad Terapéutica Residencial	13.9% (249)	86.1% (1547)
COSAM	53.8% (743)	46.2% (637)
Hospital (Ambulatorio ej. H. Diurno, Atención ambulatoria de especialidad)	54.7% (385)	45.3% (319)
Hospital (residencial ej. Corta, Mediana Estadía, Unidad de Desintoxicación)	46.7% (114)	53.3% (130)
Otro Centro	52.6% (274)	47.4% (247)
NA	74.8% (83141)	25.2% (28054)
Note= Percentages by Row

As seen in the Table 15, it was not clear whether the absence of a following treatment is explicitly associated with a type of center of referral. This is why we had to ask SENDA professionals about the characteristics of the referrals.

7. Consolidation of the dataset and its variables

  metadata(CONS_C1_df_dup_JUN_2020)$name <- "Agreement 1 SENDA"
  metadata(CONS_C1_df_dup_JUN_2020)$description <- "Information About Agreement 1 of SENDA and MINSAL"

#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_
CONS_C1_df_dup_JUN_2020<-
 CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(dg_trs_psiq_cie_10_or= recode(as.character(dg_trs_psiq_cie_10_or),
                                           'En estudio' ='En estudio(NA)',
                                           'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes' ='Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)',
                                           'Retraso Mental' ='Retraso Mental(F70-79)',
                                           'Sin trastorno' ='Sin trastorno(NA)',
                                           'Trastornos de la conducta alimentaria ' ='Trastornos de la conducta alimentaria(F50)',
                                           'Trastornos de la personalidad y del comportamiento del adulto' ='Trastornos de la personalidad y del comportamiento del adulto(F60-69)',
                                           'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
                                           'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)',
                                           'Trastornos del Desarrollo Psicológico' ='Trastornos del Desarrollo Psicológico(F80-89)',
                                           'Trastornos del humor (afectivos).' ='Trastornos del humor (afectivos) (F30-39)',
                                           'Trastornos mentales orgánicos, incluidos los sintomáticos' ='Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)',
                                           'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos' ='Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)',
                                           'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia' ='Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)'))

CONS_C1_df_dup_JUN_2020<-
  CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(x2_dg_trs_psiq_cie_10_or= recode(as.character(x2_dg_trs_psiq_cie_10_or),
                                                                          'En estudio' ='En estudio(NA)',
                                                                          'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes' ='Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)',
                                                                          'Retraso Mental' ='Retraso Mental(F70-79)',
                                                                          'Sin trastorno' ='Sin trastorno(NA)',
                                                                          'Trastornos de la conducta alimentaria ' ='Trastornos de la conducta alimentaria(F50)',
                                                                          'Trastornos de la personalidad y del comportamiento del adulto' ='Trastornos de la personalidad y del comportamiento del adulto(F60-69)',
                                                                          'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
                                                                          'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)',
                                                                          'Trastornos del Desarrollo Psicológico' ='Trastornos del Desarrollo Psicológico(F80-89)',
                                                                          'Trastornos del humor (afectivos).' ='Trastornos del humor (afectivos) (F30-39)',
                                                                          'Trastornos mentales orgánicos, incluidos los sintomáticos' ='Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)',
                                                                          'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos' ='Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)',
                                                                          'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia' ='Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)'))


CONS_C1_df_dup_JUN_2020<-
  CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(x3_dg_trs_psiq_cie_10_or= recode(as.character(x3_dg_trs_psiq_cie_10_or),
                                                                             'En estudio' ='En estudio(NA)',
                                                                             'Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes' ='Esquizofrenia, trastorno esquizotípico y trastornos de ideas delirantes(F20-29)',
                                                                             'Retraso Mental' ='Retraso Mental(F70-79)',
                                                                             'Sin trastorno' ='Sin trastorno(NA)',
                                                                             'Trastornos de la conducta alimentaria ' ='Trastornos de la conducta alimentaria(F50)',
                                                                             'Trastornos de la personalidad y del comportamiento del adulto' ='Trastornos de la personalidad y del comportamiento del adulto(F60-69)',
                                                                             'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
                                                                             'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos(F50-59)',
                                                                             'Trastornos del Desarrollo Psicológico' ='Trastornos del Desarrollo Psicológico(F80-89)',
                                                                             'Trastornos del humor (afectivos).' ='Trastornos del humor (afectivos) (F30-39)',
                                                                             'Trastornos mentales orgánicos, incluidos los sintomáticos' ='Trastornos mentales orgánicos, incluidos los sintomáticos(F00-09)',
                                                                             'Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos' ='Trastornos neuróticos, secundarios a situaciones estresantes y somatomorfos(F40-49)',
                                                                             'Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia' ='Trs. del comportamiento y de las emociones de comienzo habitual en la infancia y adolescencia(F90-98)'))

CONS_C1_df_dup_JUN_2020<-
  CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(dg_trs_psiq_sub_cie_10_or= recode(as.character(dg_trs_psiq_sub_cie_10_or),
    'Abuso de sustancias que no producen dependencia' ='Abuso de sustancias que no producen dependencia(F55X)',
    'Delirium no inducido por alcohol u otras sustancias psicotropas' ='Delirium no inducido por alcohol u otras sustancias psicotropas(F059)',
    'Demencia en enfermedades clasificadas en otro lugar' ='Demencia en enfermedades clasificadas en otro lugar(F02)',
    'Demencia sin especificación' ='Demencia sin especificación(F03)',
    'Demencia vascular' ='Demencia vascular(F01)',
    'Episodios depresivos' ='Episodios depresivos(F32)',
    'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar' ='Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)',
    'Otros trastornos de ansiedad' ='Otros trastornos de ansiedad(F41)',
    'Otros trastornos de la personalidad y del comportamiento del adulto' ='Otros trastornos de la personalidad y del comportamiento del adulto(F68)',
    'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia' ='Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)',
    'Otros trastornos del desarrollo psicológico' ='Otros trastornos del desarrollo psicológico(F88)',
    'Otros trastornos del humor (afectivos)' ='Otros trastornos del humor (afectivos)(F38)',
    'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática' ='Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)',
    'Otros trastornos neuróticos' ='Otros trastornos neuróticos(F48)',
    'Otros trastornos psicóticos no orgánicos' ='Otros trastornos psicóticos no orgánicos(F28)',
    'Psicosis no orgánica sin especificación' ='Psicosis no orgánica sin especificación(F29)',
    'Reacciones a estrés grave y trastornos de adaptación' ='Reacciones a estrés grave y trastornos de adaptación(F43)',
    'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas' ='Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)',
    'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral' ='Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)',
    'Trastorno bipolar' ='Trastorno bipolar(F31)',
    'Trastorno de ideas delirantes inducidas' ='Trastorno de ideas delirantes inducidas(F24)',
    'Trastorno de la personalidad y del comportamiento del adulto sin especificación' ='Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)',
    'Trastorno del desarrollo psicológico sin especificación' ='Trastorno del desarrollo psicológico sin especificación(F89)',
    'Trastorno depresivo recurrente' ='Trastorno depresivo recurrente(F33)',
    'Trastorno específico del desarrollo mixto' ='Trastorno específico del desarrollo mixto(F83)',
    'Trastorno esquizotípico.' ='Trastorno esquizotípico.(F21)',
    'Trastorno generalizado del desarrollo sin especificación' ='Trastorno generalizado del desarrollo sin especificación(F849)',
    'Trastorno mental orgánico o sintomático sin especificación' ='Trastorno mental orgánico o sintomático sin especificación(F09)',
    'Trastorno mental sin especificación' ='Trastorno mental sin especificación(F99)',
    'Trastorno obsesivo-compulsivo' ='Trastorno obsesivo-compulsivo(F42)',
    'Trastornos de ideas delirantes persistentes.' ='Trastornos de ideas delirantes persistentes.(F22)',
    'Trastornos de la identidad sexual' ='Trastornos de la identidad sexual(F64)',
    'Trastornos de la inclinación sexual' ='Trastornos de la inclinación sexual(F65)',
    'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral' ='Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)',
    'Trastornos de las emociones de comienzo habitual en la infancia' ='Trastornos de las emociones de comienzo habitual en la infancia(F93)',
    'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
    'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)',
    'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia' ='Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)',
    'Trastornos del humor (afectivos) persistentes' ='Trastornos del humor (afectivos) persistentes(F34)',
    'Trastornos disociales' ='Trastornos disociales(F91)',
    'Trastornos disociales y de las emociones mixtos' ='Trastornos disociales y de las emociones mixtos(F92)',
    'Trastornos disociativos (de conversión)' ='Trastornos disociativos (de conversión)(F44)',
    'Trastornos específicos de la personalidad' ='Trastornos específicos de la personalidad(F60)',
    'Trastornos específicos del desarrollo del aprendizaje escolar' ='Trastornos específicos del desarrollo del aprendizaje escolar(F81)',
    'Trastornos esquizoafectivos' ='Trastornos esquizoafectivos(F25)',
    'Trastornos generalizados del desarrollo' ='Trastornos generalizados del desarrollo(F84)',
    'Trastornos Hipercineticos' ='Trastornos Hipercineticos(F90)',
    'Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar' ='Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar(F53)',
    'Trastornos mixtos y otros trastornos de la personalidad' ='Trastornos mixtos y otros trastornos de la personalidad(F61)',
    'Trastornos no orgánicos del sueño' ='Trastornos no orgánicos del sueño(F51)',
    'Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales' ='Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales(F66)',
    'Trastornos psicóticos agudos y transitorios' ='Trastornos psicóticos agudos y transitorios(F23)',
    'Trastornos somatomorfos' ='Trastornos somatomorfos(F45)'))
CONS_C1_df_dup_JUN_2020<-
    CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(x2_dg_trs_psiq_sub_cie_10_or= recode(as.character(x2_dg_trs_psiq_sub_cie_10_or),
                                                                                'Abuso de sustancias que no producen dependencia' ='Abuso de sustancias que no producen dependencia(F55X)',
                                                                                'Delirium no inducido por alcohol u otras sustancias psicotropas' ='Delirium no inducido por alcohol u otras sustancias psicotropas(F059)',
                                                                                'Demencia en enfermedades clasificadas en otro lugar' ='Demencia en enfermedades clasificadas en otro lugar(F02)',
                                                                                'Demencia sin especificación' ='Demencia sin especificación(F03)',
                                                                                'Demencia vascular' ='Demencia vascular(F01)',
                                                                                'Episodios depresivos' ='Episodios depresivos(F32)',
                                                                                'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar' ='Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)',
                                                                                'Otros trastornos de ansiedad' ='Otros trastornos de ansiedad(F41)',
                                                                                'Otros trastornos de la personalidad y del comportamiento del adulto' ='Otros trastornos de la personalidad y del comportamiento del adulto(F68)',
                                                                                'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia' ='Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)',
                                                                                'Otros trastornos del desarrollo psicológico' ='Otros trastornos del desarrollo psicológico(F88)',
                                                                                'Otros trastornos del humor (afectivos)' ='Otros trastornos del humor (afectivos)(F38)',
                                                                                'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática' ='Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)',
                                                                                'Otros trastornos neuróticos' ='Otros trastornos neuróticos(F48)',
                                                                                'Otros trastornos psicóticos no orgánicos' ='Otros trastornos psicóticos no orgánicos(F28)',
                                                                                'Psicosis no orgánica sin especificación' ='Psicosis no orgánica sin especificación(F29)',
                                                                                'Reacciones a estrés grave y trastornos de adaptación' ='Reacciones a estrés grave y trastornos de adaptación(F43)',
                                                                                'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas' ='Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)',
                                                                                'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral' ='Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)',
                                                                                'Trastorno bipolar' ='Trastorno bipolar(F31)',
                                                                                'Trastorno de ideas delirantes inducidas' ='Trastorno de ideas delirantes inducidas(F24)',
                                                                                'Trastorno de la personalidad y del comportamiento del adulto sin especificación' ='Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)',
                                                                                'Trastorno del desarrollo psicológico sin especificación' ='Trastorno del desarrollo psicológico sin especificación(F89)',
                                                                                'Trastorno depresivo recurrente' ='Trastorno depresivo recurrente(F33)',
                                                                                'Trastorno específico del desarrollo mixto' ='Trastorno específico del desarrollo mixto(F83)',
                                                                                'Trastorno esquizotípico.' ='Trastorno esquizotípico.(F21)',
                                                                                'Trastorno generalizado del desarrollo sin especificación' ='Trastorno generalizado del desarrollo sin especificación(F849)',
                                                                                'Trastorno mental orgánico o sintomático sin especificación' ='Trastorno mental orgánico o sintomático sin especificación(F09)',
                                                                                'Trastorno mental sin especificación' ='Trastorno mental sin especificación(F99)',
                                                                                'Trastorno obsesivo-compulsivo' ='Trastorno obsesivo-compulsivo(F42)',
                                                                                'Trastornos de ideas delirantes persistentes.' ='Trastornos de ideas delirantes persistentes.(F22)',
                                                                                'Trastornos de la identidad sexual' ='Trastornos de la identidad sexual(F64)',
                                                                                'Trastornos de la inclinación sexual' ='Trastornos de la inclinación sexual(F65)',
                                                                                'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral' ='Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)',
                                                                                'Trastornos de las emociones de comienzo habitual en la infancia' ='Trastornos de las emociones de comienzo habitual en la infancia(F93)',
                                                                                'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
                                                                                'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)',
                                                                                'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia' ='Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)',
                                                                                'Trastornos del humor (afectivos) persistentes' ='Trastornos del humor (afectivos) persistentes(F34)',
                                                                                'Trastornos disociales' ='Trastornos disociales(F91)',
                                                                                'Trastornos disociales y de las emociones mixtos' ='Trastornos disociales y de las emociones mixtos(F92)',
                                                                                'Trastornos disociativos (de conversión)' ='Trastornos disociativos (de conversión)(F44)',
                                                                                'Trastornos específicos de la personalidad' ='Trastornos específicos de la personalidad(F60)',
                                                                                'Trastornos específicos del desarrollo del aprendizaje escolar' ='Trastornos específicos del desarrollo del aprendizaje escolar(F81)',
                                                                                'Trastornos esquizoafectivos' ='Trastornos esquizoafectivos(F25)',
                                                                                'Trastornos generalizados del desarrollo' ='Trastornos generalizados del desarrollo(F84)',
                                                                                'Trastornos Hipercineticos' ='Trastornos Hipercineticos(F90)',
                                                                                'Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar' ='Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar(F53)',
                                                                                'Trastornos mixtos y otros trastornos de la personalidad' ='Trastornos mixtos y otros trastornos de la personalidad(F61)',
                                                                                'Trastornos no orgánicos del sueño' ='Trastornos no orgánicos del sueño(F51)',
                                                                                'Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales' ='Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales(F66)',
                                                                                'Trastornos psicóticos agudos y transitorios' ='Trastornos psicóticos agudos y transitorios(F23)',
                                                                                'Trastornos somatomorfos' ='Trastornos somatomorfos(F45)'))
    
CONS_C1_df_dup_JUN_2020<-
  CONS_C1_df_dup_JUN_2020 %>% dplyr::mutate(x3_dg_trs_psiq_sub_cie_10_or= recode(as.character(x3_dg_trs_psiq_sub_cie_10_or),
                                                                                   'Abuso de sustancias que no producen dependencia' ='Abuso de sustancias que no producen dependencia(F55X)',
                                                                                   'Delirium no inducido por alcohol u otras sustancias psicotropas' ='Delirium no inducido por alcohol u otras sustancias psicotropas(F059)',
                                                                                   'Demencia en enfermedades clasificadas en otro lugar' ='Demencia en enfermedades clasificadas en otro lugar(F02)',
                                                                                   'Demencia sin especificación' ='Demencia sin especificación(F03)',
                                                                                   'Demencia vascular' ='Demencia vascular(F01)',
                                                                                   'Episodios depresivos' ='Episodios depresivos(F32)',
                                                                                   'Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar' ='Factores psicológicos y del comportamiento en trastornos o enfermedades clasificados en otro lugar(F54)',
                                                                                   'Otros trastornos de ansiedad' ='Otros trastornos de ansiedad(F41)',
                                                                                   'Otros trastornos de la personalidad y del comportamiento del adulto' ='Otros trastornos de la personalidad y del comportamiento del adulto(F68)',
                                                                                   'Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia' ='Otros trastornos de las emociones y del comportamiento de comienzo habitual en la infancia y adolescencia(F98)',
                                                                                   'Otros trastornos del desarrollo psicológico' ='Otros trastornos del desarrollo psicológico(F88)',
                                                                                   'Otros trastornos del humor (afectivos)' ='Otros trastornos del humor (afectivos)(F38)',
                                                                                   'Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática' ='Otros trastornos mentales debidos a lesión o disfunción cerebral o a enfermedad somática(F06)',
                                                                                   'Otros trastornos neuróticos' ='Otros trastornos neuróticos(F48)',
                                                                                   'Otros trastornos psicóticos no orgánicos' ='Otros trastornos psicóticos no orgánicos(F28)',
                                                                                   'Psicosis no orgánica sin especificación' ='Psicosis no orgánica sin especificación(F29)',
                                                                                   'Reacciones a estrés grave y trastornos de adaptación' ='Reacciones a estrés grave y trastornos de adaptación(F43)',
                                                                                   'Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas' ='Síndrome amnésico orgánico no inducido por alcohol u otras sustancias psicotropas(F04)',
                                                                                   'Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral' ='Transformación persistente de la personalidad no atribuible a lesión o enfermedad cerebral(F62)',
                                                                                   'Trastorno bipolar' ='Trastorno bipolar(F31)',
                                                                                   'Trastorno de ideas delirantes inducidas' ='Trastorno de ideas delirantes inducidas(F24)',
                                                                                   'Trastorno de la personalidad y del comportamiento del adulto sin especificación' ='Trastorno de la personalidad y del comportamiento del adulto sin especificación(F69)',
                                                                                   'Trastorno del desarrollo psicológico sin especificación' ='Trastorno del desarrollo psicológico sin especificación(F89)',
                                                                                   'Trastorno depresivo recurrente' ='Trastorno depresivo recurrente(F33)',
                                                                                   'Trastorno específico del desarrollo mixto' ='Trastorno específico del desarrollo mixto(F83)',
                                                                                   'Trastorno esquizotípico.' ='Trastorno esquizotípico.(F21)',
                                                                                   'Trastorno generalizado del desarrollo sin especificación' ='Trastorno generalizado del desarrollo sin especificación(F849)',
                                                                                   'Trastorno mental orgánico o sintomático sin especificación' ='Trastorno mental orgánico o sintomático sin especificación(F09)',
                                                                                   'Trastorno mental sin especificación' ='Trastorno mental sin especificación(F99)',
                                                                                   'Trastorno obsesivo-compulsivo' ='Trastorno obsesivo-compulsivo(F42)',
                                                                                   'Trastornos de ideas delirantes persistentes.' ='Trastornos de ideas delirantes persistentes.(F22)',
                                                                                   'Trastornos de la identidad sexual' ='Trastornos de la identidad sexual(F64)',
                                                                                   'Trastornos de la inclinación sexual' ='Trastornos de la inclinación sexual(F65)',
                                                                                   'Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral' ='Trastornos de la personalidad y del comportamiento debidos a enfermedad, lesión o disfunción cerebral(F07)',
                                                                                   'Trastornos de las emociones de comienzo habitual en la infancia' ='Trastornos de las emociones de comienzo habitual en la infancia(F93)',
                                                                                   'Trastornos de los hábitos y del control de los impulsos' ='Trastornos de los hábitos y del control de los impulsos(F63)',
                                                                                   'Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación' ='Trastornos del comportamiento asociados a disfunciones fisiológicas y a factores somáticos sin especificación(F59)',
                                                                                   'Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia' ='Trastornos del comportamiento social de comienzo habitual en la infancia y adolescencia(F94)',
                                                                                   'Trastornos del humor (afectivos) persistentes' ='Trastornos del humor (afectivos) persistentes(F34)',
                                                                                   'Trastornos disociales' ='Trastornos disociales(F91)',
                                                                                   'Trastornos disociales y de las emociones mixtos' ='Trastornos disociales y de las emociones mixtos(F92)',
                                                                                   'Trastornos disociativos (de conversión)' ='Trastornos disociativos (de conversión)(F44)',
                                                                                   'Trastornos específicos de la personalidad' ='Trastornos específicos de la personalidad(F60)',
                                                                                   'Trastornos específicos del desarrollo del aprendizaje escolar' ='Trastornos específicos del desarrollo del aprendizaje escolar(F81)',
                                                                                   'Trastornos esquizoafectivos' ='Trastornos esquizoafectivos(F25)',
                                                                                   'Trastornos generalizados del desarrollo' ='Trastornos generalizados del desarrollo(F84)',
                                                                                   'Trastornos Hipercineticos' ='Trastornos Hipercineticos(F90)',
                                                                                   'Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar' ='Trastornos mentales y del comportamiento en el puerperio no clasificados en otro lugar(F53)',
                                                                                   'Trastornos mixtos y otros trastornos de la personalidad' ='Trastornos mixtos y otros trastornos de la personalidad(F61)',
                                                                                   'Trastornos no orgánicos del sueño' ='Trastornos no orgánicos del sueño(F51)',
                                                                                   'Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales' ='Trastornos psicológicos y del comportamiento del desarrollo y orientación sexuales(F66)',
                                                                                   'Trastornos psicóticos agudos y transitorios' ='Trastornos psicóticos agudos y transitorios(F23)',
                                                                                   'Trastornos somatomorfos' ='Trastornos somatomorfos(F45)'))
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_

CONS_C1_df_dup_JUN_2020%>%
dplyr::mutate_at(c('dg_trs_psiq_cie_10_or','x2_dg_trs_psiq_cie_10_or','x3_dg_trs_psiq_cie_10_or','x2_dg_trs_psiq_sub_cie_10_or','x3_dg_trs_psiq_sub_cie_10_or','compromiso_biopsicosocial','pais_nacimiento','nacionalidad','dg_trs_psiq_sub_dsm_iv_or','x2_dg_trs_psiq_sub_dsm_iv_or','x3_dg_trs_psiq_sub_dsm_iv_or','dg_trs_psiq_sub_cie_10_or','etnia_cor_2','motivodeegreso_mod_imp','fecha_ultimo_tratamiento','fecha_ultimo_tratamiento','tiene_menores_de_edad_a_cargo'),~as.factor(.)) %>%
  dplyr::group_by(hash_key)%>%
  dplyr::mutate(at_least_one_cont_entry=sum(!is.na(diff_bet_treat)))%>%
  ungroup()%>%
  dplyr::mutate(at_least_one_cont_entry= ifelse(at_least_one_cont_entry>0,1,0))%>%
  dplyr::mutate(menor_45_dias_diff= ifelse(diff_bet_treat<45,1,0))%>%
  dplyr::mutate(at_least_one_cont_entry= recode(as.character(at_least_one_cont_entry),"0"="User with no cont. entry","1"="User with cont. entry"))%>%
  dplyr::mutate(menor_45_dias_diff= recode(as.character(menor_45_dias_diff),"0"=">= 45 Days of Difference Between Entries","1"="<45 Days of Difference Between Entries"))%>%
  dplyr::mutate(menor_60_dias_diff= recode(as.character(menor_60_dias_diff),"0"=">= 60 Days of Difference Between Entries","1"="<60 Days of Difference Between Entries"))%>%
  dplyr::mutate(obs_cambios_ninguno= recode(as.character(obs_cambios_ninguno),"0"="At least 1 Change w/ the Next Entry","1"="No Changes w/ the Next Entry"))%>%
  dplyr::mutate(motivoegreso_derivacion= recode(as.character(motivoegreso_derivacion),"0"="Other causes of discharge","1"="Referral"))%>%
  dplyr::mutate_at(vars(at_least_one_cont_entry,menor_45_dias_diff,menor_60_dias_diff,obs_cambios_ninguno,motivoegreso_derivacion,obs_cambios),~as.factor(.))%>%
  assign("CONS_C1_df_dup_JUN_2020",., envir = .GlobalEnv)
  
#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_#_  
  
codebook::var_label(CONS_C1_df_dup_JUN_2020) <- list(
row= 'Numerador de los eventos presentes en la Base de Datos/Events in the Dataset',
table= 'Origen de los Datos (de los archivos por año)/Source of Data (of files per year)',
hash_key= 'Codificación del RUN/Masked Identifier (RUN)',
ano_bd= 'Año de la Base de Datos/Year of the Dataset (Source)',
id= 'Codigo Identificación de SENDA/SENDA ID',
nombre_centro= 'Nombre del Centro de Tratamiento/Treatment Center',
tipo_centro= 'Tipo de Centro/Type of Center',
region_del_centro= '(original, Recodificado en nombre_region)/',
servicio_de_salud= 'Servicio de Salud/Health Service',
tipo_de_programa= '(original, Recodificado en tipo_de_programa_2)/',
tipo_de_plan= '(original, Recodificado en tipo_de_plan_2)/',
senda= 'SENDA/SENDA',
dias_trat= 'Días de Tratamiento/Days of Treatment',
nmesesentratamiento= 'Número de Meses en Tratamiento/Number of Months in Treatment',
dias_en_senda= 'Días en SENDA/Days in SENDA',
n_meses_en_senda= 'Número de Meses en SENDA/Number of Months in SENDA',
sexo= '(original, Recodificado en sexo_2)/',
edad= 'Edad (número entero)/Age (In years, Discrete Number)',
nombre_usuario= 'Nombre del Usuario (OCULTO y no accesible)/Name of the User (Not Accessible)',
comuna_residencia= '(original, Recodificado en comuna_residencia_cod)/',
origen_de_ingreso= '(original, Recodificado en origen_ingreso)/',
pais_nacimiento= 'País de Nacimiento/Country of Birth',
nacionalidad= 'Nacionalidad/Nationality',
etnia= '(original, recodificado en etnia_cor)/',
estado_conyugal= '(original, Recodificado en estado_conyugal_2)/',
numero_de_hijos= 'Número de Hijos/Number of Children',
num_hijos_ing_trat_res= 'Número de Hijos para Ingreso a Tratamiento Residencial/Number of Children to Residential Treatment',
parentesco_con_el_jefe_de_hogar= '(Sólo presenta valores perdidos)/',
num_trat_ant= 'Número de Tratamientos Anteriores/Number of Previous Treatments',
fecha_ultimo_tratamiento= 'Fecha del Último Tratamiento/Date of the Last Treatment',
sustancia_de_inicio= '(original, Recodificado en sus_ini)/',
edad_inicio_consumo= '(original, Recodificado en edad_ini_cons)/', 
x_se_trata_mujer_emb= 'Mujer Embarazada al Ingreso/Pregnant at Admission',
escolaridad_ultimo_ano_cursado= '(original, Recodificado en escolaridad)/', 
condicion_ocupacional= '(original, Recodificado en estatus_ocupacional)/', 
categoria_ocupacional= '(original, Recodificado en cat_ocupacional)/',
rubro_trabaja= '(original, Recodificado en rubro_trabaja_mod)/',
con_quien_vive= 'Persona con la que vive el Usuario/People that Share Household with the User',
tipo_de_vivienda= '(original, Recodificado en tipo_de_vivienda_mod)/',
tenencia_de_la_vivienda= '(original, Recodificado en tenencia_de_la_vivienda_mod)/',
sustancia_principal= '(original, Recodificado en sus_principal)/',
`otras_sustancias_nº1`= '(original, Recodificado en otras_sus1)/',
`otras_sustancias_nº2`= '(original, Recodificado en otras_sus2)/',
`otras_sustancias_nº3`= '(original, Recodificado en otras_sus3)/',
freq_cons_sus_prin_original= '(original, Recodificado en freq_cons_sus_prin)/',
edad_inicio_sustancia_principal= '(original, Recodificado en edad_ini_sus_prin)/',
via_adm_sus_prin_original= '(original, Recodificado en via_adm_sus_prin)/',
dg_trs_cons_sus_or= 'Diagnósico de Trastorno por Consumo de Sustancias/Diagnosed of Substance Use Disorder',
dg_trs_psiq_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV/Diagnosis of Psychiatric Disorders, DSM-IV criteria',
dg_trs_psiq_sub_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification)',
x2_dg_trs_psiq_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (2)',
x2_dg_trs_psiq_sub_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (2)',
x3_dg_trs_psiq_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (3)',
x3_dg_trs_psiq_sub_dsm_iv_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (3)',
dg_trs_psiq_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10/Diagnosis of Psychiatric Disorders, CIE-10 criteria',
dg_trs_psiq_sub_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification)',
x2_dg_trs_psiq_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (2)',
x2_dg_trs_psiq_sub_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (2)',
x3_dg_trs_psiq_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (3)',
x3_dg_trs_psiq_sub_cie_10_or= 'Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (3)',
diagnostico_trs_fisico= 'Diagnóstico de Trastorno Físico/Diagnosis of Physical Disorder',
otros_probl_at_sm_or= 'Otros Problemas de Atención Vinculados a Salud Mental/Other problems linked to Mental Health',
compromiso_biopsicosocial= 'Compromiso Biopsicosocial/Biopsychosocial Involvement',
dg_global_nec_int_soc_or= 'Diagnóstico Global de Necesidades de Integración Social (Al Ingreso)/Global Diagnosis of Social Integration (At Admission)',
dg_nec_int_soc_cap_hum_or= 'Diagnóstico de Necesidades de Integración Social en Capital Humano (Al Ingreso)/Global Diagnosis of Social Integration in Human Capital (At Admission)',
dg_nec_int_soc_cap_fis_or= 'Diagnóstico de Necesidades de Integración Social en Capital Físico (Al Ingreso)/Global Diagnosis of Social Integration in Physical Capital (At Admission)',
dg_nec_int_soc_cap_soc_or= 'Diagnóstico de Necesidades de Integración Social en Capital Social (Al Ingreso)/Global Diagnosis of Social Integration in Social Capital (At Admission)',
fech_ing= 'Fecha de Ingreso a Tratamiento/Date of Admission to Treatment',
fecha_ingreso_a_convenio_senda= 'Fecha de Ingreso a Convenio SENDA (aún no formateada como fecha)/Date of Admission to SENDA Agreement',
usuario_tribunal_trat_droga= 'Usuario de modalidad Tribunales de Tratamiento de Drogas/User of Drug Treatment Courts Modality',
consentimiento_informado= 'Consentimiento Informado/Informed Consent',
fech_egres= 'Fecha de Egreso de Tratamiento/Date of Discharge from Treatment',
motivodeegreso= 'Motivo de Egreso/Cause of Discharge',
tipo_centro_derivacion= 'Tipo de Centro al que el Usuario es Derivado/Type of Center of Derivation',
evaluacindelprocesoteraputico= 'Evaluación del Proceso Terapéutico/Evaluation of the Therapeutic Process',
eva_consumo= 'Evaluación al Egreso Respecto al Patrón de consumo/Evaluation at Discharge regarding to Consumption Pattern',
eva_fam= 'Evaluación al Egreso Respecto a Situación Familiar/Evaluation at Discharge regarding to Family Situation',
eva_relinterp= 'Evaluación al Egreso Respecto a Relaciones Interpersonales/Evaluation at Discharge regarding to Interpersonal Relations',
eva_ocupacion= 'Evaluación al Egreso Respecto a Situación Ocupacional/Evaluation at Discharge regarding to Occupational Status',
eva_sm= 'Evaluación al Egreso Respecto a Salud Mental/Evaluation at Discharge regarding to Mental Health',
eva_fisica= 'Evaluación al Egreso Respecto a Salud Física/Evaluation at Discharge regarding to Physical Health',
eva_transgnorma= 'Evaluación al Egreso Respecto a Trasgresión a la Norma Social/Evaluation at Discharge regarding to Transgression to the Norm',
dg_trs_psiq_cie_10_egres_or= '(Sólo presenta valores perdidos)/',
dg_global_nec_int_soc_or_1= 'Diagnóstico Global de Necesidades de Integración Social (Al Egreso)/Global Diagnosis of Social Integration (At Discharge)',
dg_nec_int_soc_cap_hum_or_1= 'Diagnóstico de Necesidades de Integración Social en Capital Humano (Al Egreso)/Global Diagnosis of Social Integration in Human Capital (At Discharge)',
dg_nec_int_soc_cap_fis_or_1= 'Diagnóstico de Necesidades de Integración Social en Capital Físico (Al Egreso)/Global Diagnosis of Social Integration in Physical Capital (At Discharge)',
dg_nec_int_soc_cap_soc_or_1= 'Diagnóstico de Necesidades de Integración Social en Capital Social (Al Egreso)/Global Diagnosis of Social Integration in Social Capital (At Discharge)',
tiene_menores_de_edad_a_cargo= 'Menores de Edad A Cargo/Minor Dependants',
mot_egres_alt_adm_or= 'Motivo de Egreso Alta Administrativa/Cause of Administrative Discharge',
consorcio=  'Sociedades de Tratamiento Servicios de Salud- Fundaciones- entre otras entidades encargadas de los centros/Consortium',
id_centro= 'ID de Centro/Treatment center ID',
ha_estado_embarazada_egreso= '¿Ha estado embarazada? (al Egreso)/Have you been Pregnant (at Discharge)',
identidad_de_genero= 'Identidad de Género/Gender Identity',
discapacidad= 'Presenta Discapacidad/Disability',
hash_rut_completo= 'HASH alternativo, en el escenario en que se asuma que el individuo al que se le codificó el RUN presente mayor edad/Alternative HASH-Key',
opcion_discapacidad= 'Origen de Discapacidad/Cause of Disability',
sexo_2= 'Sexo Usuario/Sex of User',
embarazo= 'Embarazo al Ingreso /Pregnant at Admission',
tipo_de_plan_2= 'Tipo de Plan/Type of Plan',
tipo_de_programa_2= 'Tipo de Programa de Tratamiento/Type of Program',
fech_egres_sin_fmt= 'Fecha de Egreso de Tratamiento (Sin Formato de Fecha)/Date of Discharge',
id_mod= 'ID de SENDA para Presentación en Página Web (enmascara caracteres 5 y 6)/SENDA ID (mask characters 5 & 6)',
ano_nac= 'Año de Nacimiento (numérico)/Year of Birth (numeric)',
fech_ing_ano= 'Año de Ingreso (numérico)/Year of Admission (numeric)',
fech_ing_mes= 'Mes de Ingreso (numérico)/Month of Admission (numeric)',
fech_ing_dia= 'Día de Ingreso (numérico)/Day of Admission (numeric)',
concat= 'ID de SENDA y HASH Concatenado (permite discriminar más de un HASH en un mismo ID)/Combination of SENDA ID & HASH',
obs= 'Observaciones al Proceso de Limpieza y Estandarización de Casos/Observations to the Process of Data Tidying & Standardization',
dias_trat_inv= 'Días de Tratamiento Invertidos (fecha más reciente, menor valor numérico)/Treatment Days (Reversed)',
fech_nac= 'Fecha de Nacimiento/Date of Birth',
edad_al_ing= 'Edad a la Fecha de Ingreso a Tratamiento (numérico continuo)/Age at Admission to Treatment',
edad_ini_cons= 'Edad de Inicio de Consumo/Age of the Onset of Drug Use',
edad_ini_sus_prin=  'Edad de Inicio de Consumo Sustancia Principal/Age of the Onset of Drug Use of Primary Substance',
dias_trat_alta_temprana= 'Días de tratamiento (<90)/Less than 90 days in treatment',
motivodeegreso_mod= 'Motivo de Egreso (con abandono temprano y tardío)/Cause of Discharge (with late and early withdrawal)',
sus_principal= 'Sustancia Principal de Consumo/Primary or Main Substance of Consumption at Admission',
otras_sus1= 'Otras Sustancias (1)/Other Substances (1)',
otras_sus2= 'Otras Sustancias (2)/Other Substances (2)',
otras_sus3= 'Otras Sustancias (3)/Other Substances (3)',
sus_ini= 'Sustancia de Inicio/Starting Substance',
estado_conyugal_2= 'Estado Conyugal/Marital Status',
estatus_ocupacional= 'Condición Ocupacional/Occupational Status',
cat_ocupacional= 'Categoría Ocupacional/Occupational Category',
edad_grupos= 'Edad agrupada/Age in groups',
origen_ingreso= "(modificado en origen_ingreso_mod)/",
escolaridad= 'Escolaridad: Nivel Eduacional/Educational Attainment',
via_adm_sus_prin= 'Vía de Administración de la Sustancia Principal/Route of Administration of the Primary or Main Substance',
freq_cons_sus_prin= 'Frecuencia de Consumo de la Sustancia Principal (30 días previos a la admisión)/Frequency of Consumption of the Primary or Main Substance (30 days previous to admission)',
dias_trat_knn_imp= 'Días de Tratamiento (Imputados KNN)/Days of Treatment (Imputed KNN)',
fech_egres_knn_imp= 'Fecha de Egreso (Imputados KNN)/Date of Discharge (Imputed KNN)',
dias_trat_alta_temprana_knn_imp= 'Días de Tratamiento con Alta Temprana (<90) (Imputados KNN)/Days of Treatment w Early Withdrawal (Imputed KNN)',
fech_egres_imp= 'Fecha de Egreso (Imputados KNN & Lógico)/Date of Discharge (Imputed KNN & Logic)',
motivodeegreso_imp= 'Motivo de Egreso(Imputados KNN & Lógico)/Cause of Discharge (Imputed KNN & Logic)',
motivodeegreso_mod_imp= 'Motivo de Egreso (con abandono temprano y tardío)(Imputados KNN & Lógico)/Cause of Discharge (with late and early withdrawal)(Imputed KNN & Logic)',
dias_trat_imp= 'Días de Tratamiento (Imputados KNN & Lógico)/Days of Treatment (Imputed KNN & Logic)', 
dias_trat_alta_temprana_imp= 'Días de Tratamiento con Alta Temprana (<90) (Imputados KNN & Lógico)/Days of Treatment w Early Withdrawal (Imputed KNN & Logic)',
via_adm_sus_prin_act= 'Vía de Administración de la Sustancia Principal (Se aplicaron criterios de limpieza)/Route of Administration of the Primary or Main Substance (Tidy)',
etnia_cor= 'Etnia/Ethnic Group',
nacionalidad_2= 'Segunda Nacionalidad/Second Nationality',
etnia_cor_2= 'Etnia (2)/Second Ethnic Group',
sus_ini_2= 'Segunda Sustancia de Inicio/Second Starting Substance',
sus_ini_3= 'Tercera Sustancia de Inicio/Third Starting Substance',
concat_hash_sus_prin= 'Combination of User & Primary Substance',
macrozona= "Macrozona/Macrozones",
nombre_region= " Región del Centro/Chilean Region of the Center",
comuna_residencia_cod= "Comuna de Residencia/Municipality or District of Residence",
sus_ini_mod= "Sustancia de Inicio (Sólo más frecuentes)/Starting Substance (Only more frequent)",
sus_principal_mod= 'Sustancia Principal de Consumo (Sólo más frecuentes)/Primary or Main Substance of Consumption at Admission (Only more frequent)',
origen_ingreso_mod= 'Origen de Ingreso/Motive of Admission to Treatment',
tipo_de_vivienda_mod= 'Tipo de Vivienda/Type of Housing', 
tenencia_de_la_vivienda_mod= 'Tenencia de la Vivienda/Tenure status of Households',
rubro_trabaja_mod= 'Rubro de Trabajo/Area of Work',
edad_al_ing_grupos= 'Edad a la Fecha de Ingreso a Tratamiento en Grupos/Age at Admission to Treatment In Groups',
menor_60_dias_diff= 'Menor a 60 días de diferencia con el registro posterior/Menor a 60 days of difference between the next entry',
menor_45_dias_diff= 'Menor a 45 días de diferencia con el registro posterior/Less than 45 days of difference between the next entry',
diff_bet_treat= 'Días de diferencia con el registro posterior/Days of difference between the next entry',
id_centro_sig_trat= "ID del Centro del registro posterior/Center ID of the Next Treatment",
tipo_plan_sig_trat= "Tipo de Plan del registro posterior/Type of Plan of the Next Entry",
tipo_programa_sig_trat= "Tipo de Programa del registro posterior/Type of Program of the Next Entry", 
senda_sig_trat= "SENDA del registro posterior/SENDA of the Next Entry",
motivoegreso_derivacion= "Motivo de Egreso= Derivación/Cause of Discharge= Derivación",
obs_cambios= "Cambios del tratamiento en comparación al registro posterior/Changes in treatment compared to the Next Entry",
obs_cambios_ninguno= "Sin cambios del tratamiento en comparación al registro posterior/No changes in treatment compared to the Next Entry",
obs_cambios_num= "Recuento de cambios del tratamiento en comparación al registro posterior/Count of changes in treatment compared to the Next Entry",
obs_cambios_fac= "Recuento de cambios del tratamiento en comparación al registro posterior(factor)/Count of changes in treatment compared to the Next Entry(factor)",
at_least_one_cont_entry= "Casos de Usuarios con más de una entrada después de otra/Cases of users with more than one entry after another one"
)

time_after_dedup3<-Sys.time()

paste0("Time in markdown: ");time_after_dedup3-time_before_dedup3

[1] "Time in markdown: "

Time difference of 4.735676 hours

CONS_C1_df_dup_JUN_2020 %>%
  dplyr::arrange(hash_key, desc(fech_ing)) %>% 
  rio::export(file = paste0(path,"/CONS_C1_df_dup_JUN_2020.dta"))
#save.image("G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/6.RData")
save.image(paste0(path,"/6.RData"))

# #####to_export_labels
# table_labels<-
#   tibble::rownames_to_column(data.frame(Hmisc::label(CONS_C1_df_dup_JUN_2020))) %>% data.frame() %>%
#   dplyr::rename("code" = !!names(.[1]), "label" = !!names(.[2])) %>% data.frame() %>%
#   dplyr::mutate(first= "cap label variable")%>%
#   dplyr::mutate(final= paste0(first, " ",code,' "',label,'"'))%>%
#   dplyr::select(-code,-label,-first)%>%
#   rbind('cap save "G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/CONS_C1_df_dup_JUN_2020.dta", replace')%>%
#   rbind('cap drop id id_mod nombre_centro consentimiento_informado')%>%
#   rbind('cap save "G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/CONS_C1_df_dup_JUN_2020_exp.dta", replace')
# 
# table_labels<-
#   data.frame(final='use "G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/CONS_C1_df_dup_JUN_2020.dta", clear')%>%
#   rbind(table_labels)%>%
#   rename("*final"="final")
#   #write.csv2(table_labels,"__labels_to_stata_C1_jun_2020.do",row.names =F)
#   write.table(table_labels, file = "G:/Mi unidad/Alvacast/SISTRAT 2019 (github)/SUD_CL/_label_var_to_stata.do", sep = "",
#             row.names = FALSE, quote = FALSE,fileEncoding="UTF-8")

# dplyr::filter(label!="") %>%
#  bind_rows(data.frame("code"=c("fech_egres_imp", 
##                                "dias_trat_imp",
#                                "dias_trat_alta_temprana_imp",
#                                "motivodeegreso_mod_imp"), "label"=c("Date of Discharge (Imputed)", 
##                                                                     "Days of Treatment (Imputed)",
#                                                                     "Days of Treatment for Early Withdrawal (Imputed)",
#                                                                     "Cause of Discharge w/ Early or Late Withdrawal (Imputed)"))) %>% 

#Agregar nuevas variables al codebook
#hacer codebook
#Agregar procesos a strobe
#Poner olr y arriba pondría los otros modelos.

export_lab_stata<-
  tibble::rownames_to_column(data.frame(Hmisc::label(CONS_C1_df_dup_JUN_2020)))%>% data.frame() %>%
  dplyr::rename("code" = !!names(.[1]), "label" = !!names(.[2]))%>% data.frame()%>%
  dplyr::mutate(first= "cap noi label variable")%>%
  dplyr::mutate(final= paste0(first, " ",code,' "',label,'"'))%>%
  dplyr::select(-code,-label,-first)%>%
  dplyr::rename("*clear all"="final") %>% 
  rbind(paste0('cap noi save "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_JUN_2020.dta", replace'))%>%
  rbind('cap noi drop id id_mod nombre_centro consentimiento_informado')%>%
  rbind('cap noi drop id id_mod nombre_centro')%>%
  rbind(paste0('cap noi save "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_JUN_2020_exp.dta", replace'))

rbind(paste0('cap noi use "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_JUN_2020.dta", clear'),export_lab_stata) %>% knitr::kable("html") %>% 
    kableExtra::kable_styling(bootstrap_options = c("striped", "hover"),font_size =10) %>% 
  kableExtra::scroll_box(width = "100%", height = "375px")

*clear all
cap noi use “C:Fondecytunidad (github)_C1_df_dup_JUN_2020.dta”, clear
cap noi label variable row “Numerador de los eventos presentes en la Base de Datos/Events in the Dataset”
cap noi label variable table “Origen de los Datos (de los archivos por año)/Source of Data (of files per year)”
cap noi label variable hash_key “Codificación del RUN/Masked Identifier (RUN)”
cap noi label variable ano_bd “Año de la Base de Datos/Year of the Dataset (Source)”
cap noi label variable id “Codigo Identificación de SENDA/SENDA ID”
cap noi label variable nombre_centro “Nombre del Centro de Tratamiento/Treatment Center”
cap noi label variable tipo_centro “Tipo de Centro/Type of Center”
cap noi label variable region_del_centro “(original, Recodificado en nombre_region)/”
cap noi label variable servicio_de_salud “Servicio de Salud/Health Service”
cap noi label variable tipo_de_programa “(original, Recodificado en tipo_de_programa_2)/”
cap noi label variable tipo_de_plan “(original, Recodificado en tipo_de_plan_2)/”
cap noi label variable senda “SENDA/SENDA”
cap noi label variable dias_trat “Días de Tratamiento/Days of Treatment”
cap noi label variable nmesesentratamiento “Número de Meses en Tratamiento/Number of Months in Treatment”
cap noi label variable dias_en_senda “Días en SENDA/Days in SENDA”
cap noi label variable n_meses_en_senda “Número de Meses en SENDA/Number of Months in SENDA”
cap noi label variable sexo “(original, Recodificado en sexo_2)/”
cap noi label variable edad “Edad (número entero)/Age (In years, Discrete Number)”
cap noi label variable nombre_usuario “Nombre del Usuario (OCULTO y no accesible)/Name of the User (Not Accessible)”
cap noi label variable comuna_residencia “(original, Recodificado en comuna_residencia_cod)/”
cap noi label variable origen_de_ingreso “(original, Recodificado en origen_ingreso)/”
cap noi label variable pais_nacimiento “País de Nacimiento/Country of Birth”
cap noi label variable nacionalidad “Nacionalidad/Nationality”
cap noi label variable etnia “(original, recodificado en etnia_cor)/”
cap noi label variable estado_conyugal “(original, Recodificado en estado_conyugal_2)/”
cap noi label variable numero_de_hijos “Número de Hijos/Number of Children”
cap noi label variable num_hijos_ing_trat_res “Número de Hijos para Ingreso a Tratamiento Residencial/Number of Children to Residential Treatment”
cap noi label variable parentesco_con_el_jefe_de_hogar “(Sólo presenta valores perdidos)/”
cap noi label variable num_trat_ant “Número de Tratamientos Anteriores/Number of Previous Treatments”
cap noi label variable fecha_ultimo_tratamiento “Fecha del Último Tratamiento/Date of the Last Treatment”
cap noi label variable sustancia_de_inicio “(original, Recodificado en sus_ini)/”
cap noi label variable edad_inicio_consumo “(original, Recodificado en edad_ini_cons)/”
cap noi label variable x_se_trata_mujer_emb “Mujer Embarazada al Ingreso/Pregnant at Admission”
cap noi label variable escolaridad_ultimo_ano_cursado “(original, Recodificado en escolaridad)/”
cap noi label variable condicion_ocupacional “(original, Recodificado en estatus_ocupacional)/”
cap noi label variable categoria_ocupacional “(original, Recodificado en cat_ocupacional)/”
cap noi label variable rubro_trabaja “(original, Recodificado en rubro_trabaja_mod)/”
cap noi label variable con_quien_vive “Persona con la que vive el Usuario/People that Share Household with the User”
cap noi label variable tipo_de_vivienda “(original, Recodificado en tipo_de_vivienda_mod)/”
cap noi label variable tenencia_de_la_vivienda “(original, Recodificado en tenencia_de_la_vivienda_mod)/”
cap noi label variable sustancia_principal “(original, Recodificado en sus_principal)/”
cap noi label variable otras_sustancias_nº1 “(original, Recodificado en otras_sus1)/”
cap noi label variable otras_sustancias_nº2 “(original, Recodificado en otras_sus2)/”
cap noi label variable otras_sustancias_nº3 “(original, Recodificado en otras_sus3)/”
cap noi label variable freq_cons_sus_prin_original “(original, Recodificado en freq_cons_sus_prin)/”
cap noi label variable edad_inicio_sustancia_principal “(original, Recodificado en edad_ini_sus_prin)/”
cap noi label variable via_adm_sus_prin_original “(original, Recodificado en via_adm_sus_prin)/”
cap noi label variable dg_trs_cons_sus_or “Diagnósico de Trastorno por Consumo de Sustancias/Diagnosed of Substance Use Disorder”
cap noi label variable dg_trs_psiq_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV/Diagnosis of Psychiatric Disorders, DSM-IV criteria”
cap noi label variable dg_trs_psiq_sub_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification)”
cap noi label variable x2_dg_trs_psiq_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (2)”
cap noi label variable x2_dg_trs_psiq_sub_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (2)”
cap noi label variable x3_dg_trs_psiq_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (3)”
cap noi label variable x3_dg_trs_psiq_sub_dsm_iv_or “Diagnóstico de Trastorno Psiquiátrico, Criterios DSM IV (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, DSM-IV criteria (sub-classification) (3)”
cap noi label variable dg_trs_psiq_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10/Diagnosis of Psychiatric Disorders, CIE-10 criteria”
cap noi label variable dg_trs_psiq_sub_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification)”
cap noi label variable x2_dg_trs_psiq_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (2)”
cap noi label variable x2_dg_trs_psiq_sub_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (2)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (2)”
cap noi label variable x3_dg_trs_psiq_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (3)”
cap noi label variable x3_dg_trs_psiq_sub_cie_10_or “Diagnóstico de Trastorno Psiquiátrico, Criterios CIE-10 (Subclasificacion) (3)/Diagnosis of Psychiatric Disorders, CIE-10 criteria (subclassification) (3)”
cap noi label variable diagnostico_trs_fisico “Diagnóstico de Trastorno Físico/Diagnosis of Physical Disorder”
cap noi label variable otros_probl_at_sm_or “Otros Problemas de Atención Vinculados a Salud Mental/Other problems linked to Mental Health”
cap noi label variable compromiso_biopsicosocial “Compromiso Biopsicosocial/Biopsychosocial Involvement”
cap noi label variable dg_global_nec_int_soc_or “Diagnóstico Global de Necesidades de Integración Social (Al Ingreso)/Global Diagnosis of Social Integration (At Admission)”
cap noi label variable dg_nec_int_soc_cap_hum_or “Diagnóstico de Necesidades de Integración Social en Capital Humano (Al Ingreso)/Global Diagnosis of Social Integration in Human Capital (At Admission)”
cap noi label variable dg_nec_int_soc_cap_fis_or “Diagnóstico de Necesidades de Integración Social en Capital Físico (Al Ingreso)/Global Diagnosis of Social Integration in Physical Capital (At Admission)”
cap noi label variable dg_nec_int_soc_cap_soc_or “Diagnóstico de Necesidades de Integración Social en Capital Social (Al Ingreso)/Global Diagnosis of Social Integration in Social Capital (At Admission)”
cap noi label variable fech_ing “Fecha de Ingreso a Tratamiento/Date of Admission to Treatment”
cap noi label variable fecha_ingreso_a_convenio_senda “Fecha de Ingreso a Convenio SENDA (aún no formateada como fecha)/Date of Admission to SENDA Agreement”
cap noi label variable usuario_tribunal_trat_droga “Usuario de modalidad Tribunales de Tratamiento de Drogas/User of Drug Treatment Courts Modality”
cap noi label variable consentimiento_informado “Consentimiento Informado/Informed Consent”
cap noi label variable fech_egres “Fecha de Egreso de Tratamiento/Date of Discharge from Treatment”
cap noi label variable motivodeegreso “Motivo de Egreso/Cause of Discharge”
cap noi label variable tipo_centro_derivacion “Tipo de Centro al que el Usuario es Derivado/Type of Center of Derivation”
cap noi label variable evaluacindelprocesoteraputico “Evaluación del Proceso Terapéutico/Evaluation of the Therapeutic Process”
cap noi label variable eva_consumo “Evaluación al Egreso Respecto al Patrón de consumo/Evaluation at Discharge regarding to Consumption Pattern”
cap noi label variable eva_fam “Evaluación al Egreso Respecto a Situación Familiar/Evaluation at Discharge regarding to Family Situation”
cap noi label variable eva_relinterp “Evaluación al Egreso Respecto a Relaciones Interpersonales/Evaluation at Discharge regarding to Interpersonal Relations”
cap noi label variable eva_ocupacion “Evaluación al Egreso Respecto a Situación Ocupacional/Evaluation at Discharge regarding to Occupational Status”
cap noi label variable eva_sm “Evaluación al Egreso Respecto a Salud Mental/Evaluation at Discharge regarding to Mental Health”
cap noi label variable eva_fisica “Evaluación al Egreso Respecto a Salud Física/Evaluation at Discharge regarding to Physical Health”
cap noi label variable eva_transgnorma “Evaluación al Egreso Respecto a Trasgresión a la Norma Social/Evaluation at Discharge regarding to Transgression to the Norm”
cap noi label variable dg_trs_psiq_cie_10_egres_or “(Sólo presenta valores perdidos)/”
cap noi label variable dg_global_nec_int_soc_or_1 “Diagnóstico Global de Necesidades de Integración Social (Al Egreso)/Global Diagnosis of Social Integration (At Discharge)”
cap noi label variable dg_nec_int_soc_cap_hum_or_1 “Diagnóstico de Necesidades de Integración Social en Capital Humano (Al Egreso)/Global Diagnosis of Social Integration in Human Capital (At Discharge)”
cap noi label variable dg_nec_int_soc_cap_fis_or_1 “Diagnóstico de Necesidades de Integración Social en Capital Físico (Al Egreso)/Global Diagnosis of Social Integration in Physical Capital (At Discharge)”
cap noi label variable dg_nec_int_soc_cap_soc_or_1 “Diagnóstico de Necesidades de Integración Social en Capital Social (Al Egreso)/Global Diagnosis of Social Integration in Social Capital (At Discharge)”
cap noi label variable tiene_menores_de_edad_a_cargo “Menores de Edad A Cargo/Minor Dependants”
cap noi label variable mot_egres_alt_adm_or “Motivo de Egreso Alta Administrativa/Cause of Administrative Discharge”
cap noi label variable consorcio “Sociedades de Tratamiento Servicios de Salud- Fundaciones- entre otras entidades encargadas de los centros/Consortium”
cap noi label variable id_centro “ID de Centro/Treatment center ID”
cap noi label variable ha_estado_embarazada_egreso “¿Ha estado embarazada? (al Egreso)/Have you been Pregnant (at Discharge)”
cap noi label variable identidad_de_genero “Identidad de Género/Gender Identity”
cap noi label variable discapacidad “Presenta Discapacidad/Disability”
cap noi label variable hash_rut_completo “HASH alternativo, en el escenario en que se asuma que el individuo al que se le codificó el RUN presente mayor edad/Alternative HASH-Key”
cap noi label variable opcion_discapacidad “Origen de Discapacidad/Cause of Disability”
cap noi label variable sexo_2 “Sexo Usuario/Sex of User”
cap noi label variable embarazo “Embarazo al Ingreso /Pregnant at Admission”
cap noi label variable tipo_de_plan_2 “Tipo de Plan/Type of Plan”
cap noi label variable tipo_de_programa_2 “Tipo de Programa de Tratamiento/Type of Program”
cap noi label variable fech_egres_sin_fmt “Fecha de Egreso de Tratamiento (Sin Formato de Fecha)/Date of Discharge”
cap noi label variable id_mod “ID de SENDA para Presentación en Página Web (enmascara caracteres 5 y 6)/SENDA ID (mask characters 5 & 6)”
cap noi label variable ano_nac “Año de Nacimiento (numérico)/Year of Birth (numeric)”
cap noi label variable fech_ing_ano “Año de Ingreso (numérico)/Year of Admission (numeric)”
cap noi label variable fech_ing_mes “Mes de Ingreso (numérico)/Month of Admission (numeric)”
cap noi label variable fech_ing_dia “Día de Ingreso (numérico)/Day of Admission (numeric)”
cap noi label variable concat “ID de SENDA y HASH Concatenado (permite discriminar más de un HASH en un mismo ID)/Combination of SENDA ID & HASH”
cap noi label variable obs “Observaciones al Proceso de Limpieza y Estandarización de Casos/Observations to the Process of Data Tidying & Standardization”
cap noi label variable dias_trat_inv “Días de Tratamiento Invertidos (fecha más reciente, menor valor numérico)/Treatment Days (Reversed)”
cap noi label variable fech_nac “Fecha de Nacimiento/Date of Birth”
cap noi label variable edad_al_ing “Edad a la Fecha de Ingreso a Tratamiento (numérico continuo)/Age at Admission to Treatment”
cap noi label variable edad_ini_cons “Edad de Inicio de Consumo/Age of the Onset of Drug Use”
cap noi label variable edad_ini_sus_prin “Edad de Inicio de Consumo Sustancia Principal/Age of the Onset of Drug Use of Primary Substance”
cap noi label variable dias_trat_alta_temprana “Días de tratamiento (<90)/Less than 90 days in treatment”
cap noi label variable motivodeegreso_mod “Motivo de Egreso (con abandono temprano y tardío)/Cause of Discharge (with late and early withdrawal)”
cap noi label variable sus_principal “Sustancia Principal de Consumo/Primary or Main Substance of Consumption at Admission”
cap noi label variable otras_sus1 “Otras Sustancias (1)/Other Substances (1)”
cap noi label variable otras_sus2 “Otras Sustancias (2)/Other Substances (2)”
cap noi label variable otras_sus3 “Otras Sustancias (3)/Other Substances (3)”
cap noi label variable sus_ini “Sustancia de Inicio/Starting Substance”
cap noi label variable estado_conyugal_2 “Estado Conyugal/Marital Status”
cap noi label variable estatus_ocupacional “Condición Ocupacional/Occupational Status”
cap noi label variable cat_ocupacional “Categoría Ocupacional/Occupational Category”
cap noi label variable edad_grupos “Edad agrupada/Age in groups”
cap noi label variable origen_ingreso “(modificado en origen_ingreso_mod)/”
cap noi label variable escolaridad “Escolaridad: Nivel Eduacional/Educational Attainment”
cap noi label variable via_adm_sus_prin “Vía de Administración de la Sustancia Principal/Route of Administration of the Primary or Main Substance”
cap noi label variable freq_cons_sus_prin “Frecuencia de Consumo de la Sustancia Principal (30 días previos a la admisión)/Frequency of Consumption of the Primary or Main Substance (30 days previous to admission)”
cap noi label variable dias_trat_knn_imp “Días de Tratamiento (Imputados KNN)/Days of Treatment (Imputed KNN)”
cap noi label variable fech_egres_knn_imp “Fecha de Egreso (Imputados KNN)/Date of Discharge (Imputed KNN)”
cap noi label variable dias_trat_alta_temprana_knn_imp “Días de Tratamiento con Alta Temprana (<90) (Imputados KNN)/Days of Treatment w Early Withdrawal (Imputed KNN)”
cap noi label variable fech_egres_imp “Fecha de Egreso (Imputados KNN & Lógico)/Date of Discharge (Imputed KNN & Logic)”
cap noi label variable motivodeegreso_imp “Motivo de Egreso(Imputados KNN & Lógico)/Cause of Discharge (Imputed KNN & Logic)”
cap noi label variable motivodeegreso_mod_imp “Motivo de Egreso (con abandono temprano y tardío)(Imputados KNN & Lógico)/Cause of Discharge (with late and early withdrawal)(Imputed KNN & Logic)”
cap noi label variable dias_trat_imp “Días de Tratamiento (Imputados KNN & Lógico)/Days of Treatment (Imputed KNN & Logic)”
cap noi label variable dias_trat_alta_temprana_imp “Días de Tratamiento con Alta Temprana (<90) (Imputados KNN & Lógico)/Days of Treatment w Early Withdrawal (Imputed KNN & Logic)”
cap noi label variable via_adm_sus_prin_act “Vía de Administración de la Sustancia Principal (Se aplicaron criterios de limpieza)/Route of Administration of the Primary or Main Substance (Tidy)”
cap noi label variable etnia_cor “Etnia/Ethnic Group”
cap noi label variable nacionalidad_2 “Segunda Nacionalidad/Second Nationality”
cap noi label variable etnia_cor_2 “Etnia (2)/Second Ethnic Group”
cap noi label variable sus_ini_2 “Segunda Sustancia de Inicio/Second Starting Substance”
cap noi label variable sus_ini_3 “Tercera Sustancia de Inicio/Third Starting Substance”
cap noi label variable concat_hash_sus_prin “Combination of User & Primary Substance”
cap noi label variable macrozona “Macrozona/Macrozones”
cap noi label variable nombre_region ” Región del Centro/Chilean Region of the Center”
cap noi label variable comuna_residencia_cod “Comuna de Residencia/Municipality or District of Residence”
cap noi label variable sus_ini_mod “Sustancia de Inicio (Sólo más frecuentes)/Starting Substance (Only more frequent)”
cap noi label variable sus_principal_mod “Sustancia Principal de Consumo (Sólo más frecuentes)/Primary or Main Substance of Consumption at Admission (Only more frequent)”
cap noi label variable origen_ingreso_mod “Origen de Ingreso/Motive of Admission to Treatment”
cap noi label variable tipo_de_vivienda_mod “Tipo de Vivienda/Type of Housing”
cap noi label variable tenencia_de_la_vivienda_mod “Tenencia de la Vivienda/Tenure status of Households”
cap noi label variable rubro_trabaja_mod “Rubro de Trabajo/Area of Work”
cap noi label variable edad_al_ing_grupos “Edad a la Fecha de Ingreso a Tratamiento en Grupos/Age at Admission to Treatment In Groups”
cap noi label variable numero_de_hijos_mod “”
cap noi label variable num_hijos_trat_res_mod “”
cap noi label variable menor_60_dias_diff “Menor a 60 días de diferencia con el registro posterior/Menor a 60 days of difference between the next entry”
cap noi label variable diff_bet_treat “Días de diferencia con el registro posterior/Days of difference between the next entry”
cap noi label variable id_centro_sig_trat “ID del Centro del registro posterior/Center ID of the Next Treatment”
cap noi label variable tipo_plan_sig_trat “Tipo de Plan del registro posterior/Type of Plan of the Next Entry”
cap noi label variable tipo_programa_sig_trat “Tipo de Programa del registro posterior/Type of Program of the Next Entry”
cap noi label variable senda_sig_trat “SENDA del registro posterior/SENDA of the Next Entry”
cap noi label variable motivoegreso_derivacion “Motivo de Egreso= Derivación/Cause of Discharge= Derivación”
cap noi label variable obs_cambios “Cambios del tratamiento en comparación al registro posterior/Changes in treatment compared to the Next Entry”
cap noi label variable obs_cambios_ninguno “Sin cambios del tratamiento en comparación al registro posterior/No changes in treatment compared to the Next Entry”
cap noi label variable obs_cambios_num “Recuento de cambios del tratamiento en comparación al registro posterior/Count of changes in treatment compared to the Next Entry”
cap noi label variable obs_cambios_fac “Recuento de cambios del tratamiento en comparación al registro posterior(factor)/Count of changes in treatment compared to the Next Entry(factor)”
cap noi label variable at_least_one_cont_entry “Casos de Usuarios con más de una entrada después de otra/Cases of users with more than one entry after another one”
cap noi label variable menor_45_dias_diff “Menor a 45 días de diferencia con el registro posterior/Less than 45 days of difference between the next entry”
cap noi save “C:Fondecytunidad (github)_C1_df_dup_JUN_2020.dta”, replace
cap noi drop id id_mod nombre_centro consentimiento_informado
cap noi drop id id_mod nombre_centro
cap noi save “C:Fondecytunidad (github)_C1_df_dup_JUN_2020_exp.dta”, replace

write.table(rbind(paste0('cap noi use "', gsub('/', '\\', path, fixed=T),'\\CONS_C1_df_dup_JUN_2020.dta", clear'),export_lab_stata), file = paste0(path,"/SUD_CL/_label_var_to_stata.do"), sep = "",row.names = FALSE, quote = FALSE, fileEncoding="UTF-8")

*should be in the same folder of the .Rmd to work
cap noi do _label_var_to_stata.do

. *should be in the same folder of the .Rmd to w. cap noi do _label_var_to_stata.do

. *clear all
. cap noi use "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\
> CONS_C1_df_dup_JUN_2020.dta", clear

. cap noi label variable row "Numerador de los eventos presentes en la Base de 
> Datos/Events in the Dataset"

. cap noi label variable table "Origen de los Datos (de los archivos por año)/S
> ource of Data (of files per year)"

. cap noi label variable hash_key "Codificación del RUN/Masked Identifier (RUN)
> "

. cap noi label variable ano_bd "Año de la Base de Datos/Year of the Dataset (S
> ource)"

. cap noi label variable id "Codigo Identificación de SENDA/SENDA ID"

. cap noi label variable nombre_centro "Nombre del Centro de Tratamiento/Treatm
> ent Center"

. cap noi label variable tipo_centro "Tipo de Centro/Type of Center"

. cap noi label variable region_del_centro "(original, Recodificado en nombre_r
> egion)/"

. cap noi label variable servicio_de_salud "Servicio de Salud/Health Service"

. cap noi label variable tipo_de_programa "(original, Recodificado en tipo_de_p
> rograma_2)/"

. cap noi label variable tipo_de_plan "(original, Recodificado en tipo_de_plan_
> 2)/"

. cap noi label variable senda "SENDA/SENDA"

. cap noi label variable dias_trat "Días de Tratamiento/Days of Treatment"

. cap noi label variable nmesesentratamiento "Número de Meses en Tratamiento/Nu
> mber of Months in Treatment"

. cap noi label variable dias_en_senda "Días en SENDA/Days in SENDA"

. cap noi label variable n_meses_en_senda "Número de Meses en SENDA/Number of M
> onths in SENDA"

. cap noi label variable sexo "(original, Recodificado en sexo_2)/"

. cap noi label variable edad "Edad (número entero)/Age (In years, Discrete Num
> ber)"

. cap noi label variable nombre_usuario "Nombre del Usuario (OCULTO y no accesi
> ble)/Name of the User (Not Accessible)"

. cap noi label variable comuna_residencia "(original, Recodificado en comuna_r
> esidencia_cod)/"

. cap noi label variable origen_de_ingreso "(original, Recodificado en origen_i
> ngreso)/"

. cap noi label variable pais_nacimiento "País de Nacimiento/Country of Birth"

. cap noi label variable nacionalidad "Nacionalidad/Nationality"

. cap noi label variable etnia "(original, recodificado en etnia_cor)/"

. cap noi label variable estado_conyugal "(original, Recodificado en estado_con
> yugal_2)/"

. cap noi label variable numero_de_hijos "Número de Hijos/Number of Children"

. cap noi label variable num_hijos_ing_trat_res "Número de Hijos para Ingreso a
>  Tratamiento Residencial/Number of Children to Residential Treatment"
note: label truncated to 80 characters

. cap noi label variable parentesco_con_el_jefe_de_hogar "(Sólo presenta valore
> s perdidos)/"

. cap noi label variable num_trat_ant "Número de Tratamientos Anteriores/Number
>  of Previous Treatments"

. cap noi label variable fecha_ultimo_tratamiento "Fecha del Último Tratamiento
> /Date of the Last Treatment"

. cap noi label variable sustancia_de_inicio "(original, Recodificado en sus_in
> i)/"

. cap noi label variable edad_inicio_consumo "(original, Recodificado en edad_i
> ni_cons)/"

. cap noi label variable x_se_trata_mujer_emb "Mujer Embarazada al Ingreso/Preg
> nant at Admission"

. cap noi label variable escolaridad_ultimo_ano_cursado "(original, Recodificad
> o en escolaridad)/"

. cap noi label variable condicion_ocupacional "(original, Recodificado en esta
> tus_ocupacional)/"

. cap noi label variable categoria_ocupacional "(original, Recodificado en cat_
> ocupacional)/"

. cap noi label variable rubro_trabaja "(original, Recodificado en rubro_trabaj
> a_mod)/"

. cap noi label variable con_quien_vive "Persona con la que vive el Usuario/Peo
> ple that Share Household with the User"

. cap noi label variable tipo_de_vivienda "(original, Recodificado en tipo_de_v
> ivienda_mod)/"

. cap noi label variable tenencia_de_la_vivienda "(original, Recodificado en te
> nencia_de_la_vivienda_mod)/"

. cap noi label variable sustancia_principal "(original, Recodificado en sus_pr
> incipal)/"

. cap noi label variable otras_sustancias_nº1 "(original, Recodificado en otras
> _sus1)/"

. cap noi label variable otras_sustancias_nº2 "(original, Recodificado en otras
> _sus2)/"

. cap noi label variable otras_sustancias_nº3 "(original, Recodificado en otras
> _sus3)/"

. cap noi label variable freq_cons_sus_prin_original "(original, Recodificado e
> n freq_cons_sus_prin)/"

. cap noi label variable edad_inicio_sustancia_principal "(original, Recodifica
> do en edad_ini_sus_prin)/"

. cap noi label variable via_adm_sus_prin_original "(original, Recodificado en 
> via_adm_sus_prin)/"

. cap noi label variable dg_trs_cons_sus_or "Diagnósico de Trastorno por Consum
> o de Sustancias/Diagnosed of Substance Use Disorder"
note: label truncated to 80 characters

. cap noi label variable dg_trs_psiq_dsm_iv_or "Diagnóstico de Trastorno Psiqui
> átrico, Criterios DSM IV/Diagnosis of Psychiatric Disorders, DSM-IV criteria"
note: label truncated to 80 characters

. cap noi label variable dg_trs_psiq_sub_dsm_iv_or "Diagnóstico de Trastorno Ps
> iquiátrico, Criterios DSM IV (Subclasificacion)/Diagnosis of Psychiatric Diso
> rders, DSM-IV criteria (sub-classification)"
note: label truncated to 80 characters

. cap noi label variable x2_dg_trs_psiq_dsm_iv_or "Diagnóstico de Trastorno Psi
> quiátrico, Criterios DSM IV (2)/Diagnosis of Psychiatric Disorders, DSM-IV cr
> iteria (2)"
note: label truncated to 80 characters

. cap noi label variable x2_dg_trs_psiq_sub_dsm_iv_or "Diagnóstico de Trastorno
>  Psiquiátrico, Criterios DSM IV (Subclasificacion) (2)/Diagnosis of Psychiatr
> ic Disorders, DSM-IV criteria (sub-classification) (2)"
note: label truncated to 80 characters

. cap noi label variable x3_dg_trs_psiq_dsm_iv_or "Diagnóstico de Trastorno Psi
> quiátrico, Criterios DSM IV (3)/Diagnosis of Psychiatric Disorders, DSM-IV cr
> iteria (3)"
note: label truncated to 80 characters

. cap noi label variable x3_dg_trs_psiq_sub_dsm_iv_or "Diagnóstico de Trastorno
>  Psiquiátrico, Criterios DSM IV (Subclasificacion) (3)/Diagnosis of Psychiatr
> ic Disorders, DSM-IV criteria (sub-classification) (3)"
note: label truncated to 80 characters

. cap noi label variable dg_trs_psiq_cie_10_or "Diagnóstico de Trastorno Psiqui
> átrico, Criterios CIE-10/Diagnosis of Psychiatric Disorders, CIE-10 criteria"
note: label truncated to 80 characters

. cap noi label variable dg_trs_psiq_sub_cie_10_or "Diagnóstico de Trastorno Ps
> iquiátrico, Criterios CIE-10 (Subclasificacion)/Diagnosis of Psychiatric Diso
> rders, CIE-10 criteria (subclassification)"
note: label truncated to 80 characters

. cap noi label variable x2_dg_trs_psiq_cie_10_or "Diagnóstico de Trastorno Psi
> quiátrico, Criterios CIE-10 (2)/Diagnosis of Psychiatric Disorders, CIE-10 cr
> iteria (2)"
note: label truncated to 80 characters

. cap noi label variable x2_dg_trs_psiq_sub_cie_10_or "Diagnóstico de Trastorno
>  Psiquiátrico, Criterios CIE-10 (Subclasificacion) (2)/Diagnosis of Psychiatr
> ic Disorders, CIE-10 criteria (subclassification) (2)"
note: label truncated to 80 characters

. cap noi label variable x3_dg_trs_psiq_cie_10_or "Diagnóstico de Trastorno Psi
> quiátrico, Criterios CIE-10 (3)/Diagnosis of Psychiatric Disorders, CIE-10 cr
> iteria (3)"
note: label truncated to 80 characters

. cap noi label variable x3_dg_trs_psiq_sub_cie_10_or "Diagnóstico de Trastorno
>  Psiquiátrico, Criterios CIE-10 (Subclasificacion) (3)/Diagnosis of Psychiatr
> ic Disorders, CIE-10 criteria (subclassification) (3)"
note: label truncated to 80 characters

. cap noi label variable diagnostico_trs_fisico "Diagnóstico de Trastorno Físic
> o/Diagnosis of Physical Disorder"

. cap noi label variable otros_probl_at_sm_or "Otros Problemas de Atención Vinc
> ulados a Salud Mental/Other problems linked to Mental Health"
note: label truncated to 80 characters

. cap noi label variable compromiso_biopsicosocial "Compromiso Biopsicosocial/B
> iopsychosocial Involvement"

. cap noi label variable dg_global_nec_int_soc_or "Diagnóstico Global de Necesi
> dades de Integración Social (Al Ingreso)/Global Diagnosis of Social Integrati
> on (At Admission)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_hum_or "Diagnóstico de Necesidades 
> de Integración Social en Capital Humano (Al Ingreso)/Global Diagnosis of Soci
> al Integration in Human Capital (At Admission)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_fis_or "Diagnóstico de Necesidades 
> de Integración Social en Capital Físico (Al Ingreso)/Global Diagnosis of Soci
> al Integration in Physical Capital (At Admission)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_soc_or "Diagnóstico de Necesidades 
> de Integración Social en Capital Social (Al Ingreso)/Global Diagnosis of Soci
> al Integration in Social Capital (At Admission)"
note: label truncated to 80 characters

. cap noi label variable fech_ing "Fecha de Ingreso a Tratamiento/Date of Admis
> sion to Treatment"

. cap noi label variable fecha_ingreso_a_convenio_senda "Fecha de Ingreso a Con
> venio SENDA (aún no formateada como fecha)/Date of Admission to SENDA Agreeme
> nt"
note: label truncated to 80 characters

. cap noi label variable usuario_tribunal_trat_droga "Usuario de modalidad Trib
> unales de Tratamiento de Drogas/User of Drug Treatment Courts Modality"
note: label truncated to 80 characters

. cap noi label variable consentimiento_informado "Consentimiento Informado/Inf
> ormed Consent"

. cap noi label variable fech_egres "Fecha de Egreso de Tratamiento/Date of Dis
> charge from Treatment"

. cap noi label variable motivodeegreso "Motivo de Egreso/Cause of Discharge"

. cap noi label variable tipo_centro_derivacion "Tipo de Centro al que el Usuar
> io es Derivado/Type of Center of Derivation"

. cap noi label variable evaluacindelprocesoteraputico "Evaluación del Proceso 
> Terapéutico/Evaluation of the Therapeutic Process"

. cap noi label variable eva_consumo "Evaluación al Egreso Respecto al Patrón d
> e consumo/Evaluation at Discharge regarding to Consumption Pattern"
note: label truncated to 80 characters

. cap noi label variable eva_fam "Evaluación al Egreso Respecto a Situación Fam
> iliar/Evaluation at Discharge regarding to Family Situation"
note: label truncated to 80 characters

. cap noi label variable eva_relinterp "Evaluación al Egreso Respecto a Relacio
> nes Interpersonales/Evaluation at Discharge regarding to Interpersonal Relati
> ons"
note: label truncated to 80 characters

. cap noi label variable eva_ocupacion "Evaluación al Egreso Respecto a Situaci
> ón Ocupacional/Evaluation at Discharge regarding to Occupational Status"
note: label truncated to 80 characters

. cap noi label variable eva_sm "Evaluación al Egreso Respecto a Salud Mental/E
> valuation at Discharge regarding to Mental Health"
note: label truncated to 80 characters

. cap noi label variable eva_fisica "Evaluación al Egreso Respecto a Salud Físi
> ca/Evaluation at Discharge regarding to Physical Health"
note: label truncated to 80 characters

. cap noi label variable eva_transgnorma "Evaluación al Egreso Respecto a Trasg
> resión a la Norma Social/Evaluation at Discharge regarding to Transgression t
> o the Norm"
note: label truncated to 80 characters

. cap noi label variable dg_trs_psiq_cie_10_egres_or "(Sólo presenta valores pe
> rdidos)/"

. cap noi label variable dg_global_nec_int_soc_or_1 "Diagnóstico Global de Nece
> sidades de Integración Social (Al Egreso)/Global Diagnosis of Social Integrat
> ion (At Discharge)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_hum_or_1 "Diagnóstico de Necesidade
> s de Integración Social en Capital Humano (Al Egreso)/Global Diagnosis of Soc
> ial Integration in Human Capital (At Discharge)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_fis_or_1 "Diagnóstico de Necesidade
> s de Integración Social en Capital Físico (Al Egreso)/Global Diagnosis of Soc
> ial Integration in Physical Capital (At Discharge)"
note: label truncated to 80 characters

. cap noi label variable dg_nec_int_soc_cap_soc_or_1 "Diagnóstico de Necesidade
> s de Integración Social en Capital Social (Al Egreso)/Global Diagnosis of Soc
> ial Integration in Social Capital (At Discharge)"
note: label truncated to 80 characters

. cap noi label variable tiene_menores_de_edad_a_cargo "Menores de Edad A Cargo
> /Minor Dependants"

. cap noi label variable mot_egres_alt_adm_or "Motivo de Egreso Alta Administra
> tiva/Cause of Administrative Discharge"

. cap noi label variable consorcio "Sociedades de Tratamiento Servicios de Salu
> d- Fundaciones- entre otras entidades encargadas de los centros/Consortium"
note: label truncated to 80 characters

. cap noi label variable id_centro "ID de Centro/Treatment center ID"

. cap noi label variable ha_estado_embarazada_egreso "¿Ha estado embarazada? (a
> l Egreso)/Have you been Pregnant (at Discharge)"

. cap noi label variable identidad_de_genero "Identidad de Género/Gender Identi
> ty"

. cap noi label variable discapacidad "Presenta Discapacidad/Disability"

. cap noi label variable hash_rut_completo "HASH alternativo, en el escenario e
> n que se asuma que el individuo al que se le codificó el RUN presente mayor e
> dad/Alternative HASH-Key"
note: label truncated to 80 characters

. cap noi label variable opcion_discapacidad "Origen de Discapacidad/Cause of D
> isability"

. cap noi label variable sexo_2 "Sexo Usuario/Sex of User"

. cap noi label variable embarazo "Embarazo al Ingreso /Pregnant at Admission"

. cap noi label variable tipo_de_plan_2 "Tipo de Plan/Type of Plan"

. cap noi label variable tipo_de_programa_2 "Tipo de Programa de Tratamiento/Ty
> pe of Program"

. cap noi label variable fech_egres_sin_fmt "Fecha de Egreso de Tratamiento (Si
> n Formato de Fecha)/Date of Discharge"

. cap noi label variable id_mod "ID de SENDA para Presentación en Página Web (e
> nmascara caracteres 5 y 6)/SENDA ID (mask characters 5 & 6)"
note: label truncated to 80 characters

. cap noi label variable ano_nac "Año de Nacimiento (numérico)/Year of Birth (n
> umeric)"

. cap noi label variable fech_ing_ano "Año de Ingreso (numérico)/Year of Admiss
> ion (numeric)"

. cap noi label variable fech_ing_mes "Mes de Ingreso (numérico)/Month of Admis
> sion (numeric)"

. cap noi label variable fech_ing_dia "Día de Ingreso (numérico)/Day of Admissi
> on (numeric)"

. cap noi label variable concat "ID de SENDA y HASH Concatenado (permite discri
> minar más de un HASH en un mismo ID)/Combination of SENDA ID & HASH"
note: label truncated to 80 characters

. cap noi label variable obs "Observaciones al Proceso de Limpieza y Estandariz
> ación de Casos/Observations to the Process of Data Tidying & Standardization"
note: label truncated to 80 characters

. cap noi label variable dias_trat_inv "Días de Tratamiento Invertidos (fecha m
> ás reciente, menor valor numérico)/Treatment Days (Reversed)"
note: label truncated to 80 characters

. cap noi label variable fech_nac "Fecha de Nacimiento/Date of Birth"

. cap noi label variable edad_al_ing "Edad a la Fecha de Ingreso a Tratamiento 
> (numérico continuo)/Age at Admission to Treatment"
note: label truncated to 80 characters

. cap noi label variable edad_ini_cons "Edad de Inicio de Consumo/Age of the On
> set of Drug Use"

. cap noi label variable edad_ini_sus_prin "Edad de Inicio de Consumo Sustancia
>  Principal/Age of the Onset of Drug Use of Primary Substance"
note: label truncated to 80 characters

. cap noi label variable dias_trat_alta_temprana "Días de tratamiento (<90)/Les
> s than 90 days in treatment"

. cap noi label variable motivodeegreso_mod "Motivo de Egreso (con abandono tem
> prano y tardío)/Cause of Discharge (with late and early withdrawal)"
note: label truncated to 80 characters

. cap noi label variable sus_principal "Sustancia Principal de Consumo/Primary 
> or Main Substance of Consumption at Admission"
note: label truncated to 80 characters

. cap noi label variable otras_sus1 "Otras Sustancias (1)/Other Substances (1)"

. cap noi label variable otras_sus2 "Otras Sustancias (2)/Other Substances (2)"

. cap noi label variable otras_sus3 "Otras Sustancias (3)/Other Substances (3)"

. cap noi label variable sus_ini "Sustancia de Inicio/Starting Substance"

. cap noi label variable estado_conyugal_2 "Estado Conyugal/Marital Status"

. cap noi label variable estatus_ocupacional "Condición Ocupacional/Occupationa
> l Status"

. cap noi label variable cat_ocupacional "Categoría Ocupacional/Occupational Ca
> tegory"

. cap noi label variable edad_grupos "Edad agrupada/Age in groups"

. cap noi label variable origen_ingreso "(modificado en origen_ingreso_mod)/"

. cap noi label variable escolaridad "Escolaridad: Nivel Eduacional/Educational
>  Attainment"

. cap noi label variable via_adm_sus_prin "Vía de Administración de la Sustanci
> a Principal/Route of Administration of the Primary or Main Substance"
note: label truncated to 80 characters

. cap noi label variable freq_cons_sus_prin "Frecuencia de Consumo de la Sustan
> cia Principal (30 días previos a la admisión)/Frequency of Consumption of the
>  Primary or Main Substance (30 days previous to admission)"
note: label truncated to 80 characters

. cap noi label variable dias_trat_knn_imp "Días de Tratamiento (Imputados KNN)
> /Days of Treatment (Imputed KNN)"

. cap noi label variable fech_egres_knn_imp "Fecha de Egreso (Imputados KNN)/Da
> te of Discharge (Imputed KNN)"

. cap noi label variable dias_trat_alta_temprana_knn_imp "Días de Tratamiento c
> on Alta Temprana (<90) (Imputados KNN)/Days of Treatment w Early Withdrawal (
> Imputed KNN)"
note: label truncated to 80 characters

. cap noi label variable fech_egres_imp "Fecha de Egreso (Imputados KNN & Lógic
> o)/Date of Discharge (Imputed KNN & Logic)"

. cap noi label variable motivodeegreso_imp "Motivo de Egreso(Imputados KNN & L
> ógico)/Cause of Discharge (Imputed KNN & Logic)"
note: label truncated to 80 characters

. cap noi label variable motivodeegreso_mod_imp "Motivo de Egreso (con abandono
>  temprano y tardío)(Imputados KNN & Lógico)/Cause of Discharge (with late and
>  early withdrawal)(Imputed KNN & Logic)"
note: label truncated to 80 characters

. cap noi label variable dias_trat_imp "Días de Tratamiento (Imputados KNN & Ló
> gico)/Days of Treatment (Imputed KNN & Logic)"
note: label truncated to 80 characters

. cap noi label variable dias_trat_alta_temprana_imp "Días de Tratamiento con A
> lta Temprana (<90) (Imputados KNN & Lógico)/Days of Treatment w Early Withdra
> wal (Imputed KNN & Logic)"
note: label truncated to 80 characters

. cap noi label variable via_adm_sus_prin_act "Vía de Administración de la Sust
> ancia Principal (Se aplicaron criterios de limpieza)/Route of Administration 
> of the Primary or Main Substance (Tidy)"
note: label truncated to 80 characters

. cap noi label variable etnia_cor "Etnia/Ethnic Group"

. cap noi label variable nacionalidad_2 "Segunda Nacionalidad/Second Nationalit
> y"

. cap noi label variable etnia_cor_2 "Etnia (2)/Second Ethnic Group"

. cap noi label variable sus_ini_2 "Segunda Sustancia de Inicio/Second Starting
>  Substance"

. cap noi label variable sus_ini_3 "Tercera Sustancia de Inicio/Third Starting 
> Substance"

. cap noi label variable concat_hash_sus_prin "Combination of User & Primary Su
> bstance"

. cap noi label variable macrozona "Macrozona/Macrozones"

. cap noi label variable nombre_region " Región del Centro/Chilean Region of th
> e Center"

. cap noi label variable comuna_residencia_cod "Comuna de Residencia/Municipali
> ty or District of Residence"

. cap noi label variable sus_ini_mod "Sustancia de Inicio (Sólo más frecuentes)
> /Starting Substance (Only more frequent)"
note: label truncated to 80 characters

. cap noi label variable sus_principal_mod "Sustancia Principal de Consumo (Sól
> o más frecuentes)/Primary or Main Substance of Consumption at Admission (Only
>  more frequent)"
note: label truncated to 80 characters

. cap noi label variable origen_ingreso_mod "Origen de Ingreso/Motive of Admiss
> ion to Treatment"

. cap noi label variable tipo_de_vivienda_mod "Tipo de Vivienda/Type of Housing
> "

. cap noi label variable tenencia_de_la_vivienda_mod "Tenencia de la Vivienda/T
> enure status of Households"

. cap noi label variable rubro_trabaja_mod "Rubro de Trabajo/Area of Work"

. cap noi label variable edad_al_ing_grupos "Edad a la Fecha de Ingreso a Trata
> miento en Grupos/Age at Admission to Treatment In Groups"
note: label truncated to 80 characters

. cap noi label variable numero_de_hijos_mod ""

. cap noi label variable num_hijos_trat_res_mod ""

. cap noi label variable menor_60_dias_diff "Menor a 60 días de diferencia con 
> el registro posterior/Menor a 60 days of difference between the next entry"
note: label truncated to 80 characters

. cap noi label variable diff_bet_treat "Días de diferencia con el registro pos
> terior/Days of difference between the next entry"
note: label truncated to 80 characters

. cap noi label variable id_centro_sig_trat "ID del Centro del registro posteri
> or/Center ID of the Next Treatment"

. cap noi label variable tipo_plan_sig_trat "Tipo de Plan del registro posterio
> r/Type of Plan of the Next Entry"

. cap noi label variable tipo_programa_sig_trat "Tipo de Programa del registro 
> posterior/Type of Program of the Next Entry"

. cap noi label variable senda_sig_trat "SENDA del registro posterior/SENDA of 
> the Next Entry"

. cap noi label variable motivoegreso_derivacion "Motivo de Egreso= Derivación/
> Cause of Discharge= Derivación"

. cap noi label variable obs_cambios "Cambios del tratamiento en comparación al
>  registro posterior/Changes in treatment compared to the Next Entry"
note: label truncated to 80 characters

. cap noi label variable obs_cambios_ninguno "Sin cambios del tratamiento en co
> mparación al registro posterior/No changes in treatment compared to the Next 
> Entry"
note: label truncated to 80 characters

. cap noi label variable obs_cambios_num "Recuento de cambios del tratamiento e
> n comparación al registro posterior/Count of changes in treatment compared to
>  the Next Entry"
note: label truncated to 80 characters

. cap noi label variable obs_cambios_fac "Recuento de cambios del tratamiento e
> n comparación al registro posterior(factor)/Count of changes in treatment com
> pared to the Next Entry(factor)"
note: label truncated to 80 characters

. cap noi label variable at_least_one_cont_entry "Casos de Usuarios con más de 
> una entrada después de otra/Cases of users with more than one entry after ano
> ther one"
note: label truncated to 80 characters

. cap noi label variable menor_45_dias_diff "Menor a 45 días de diferencia con 
> el registro posterior/Less than 45 days of difference between the next entry"
note: label truncated to 80 characters

. cap noi save "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)
> \CONS_C1_df_dup_JUN_2020.dta", replace
file C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\CONS_C1_df
> _dup_JUN_2020.dta saved

. cap noi drop id id_mod nombre_centro consentimiento_informado

. cap noi drop id id_mod nombre_centro
id ambiguous abbreviation

. cap noi save "C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)
> \CONS_C1_df_dup_JUN_2020_exp.dta", replace
file C:\Users\CISS Fondecyt\Mi unidad\Alvacast\SISTRAT 2019 (github)\CONS_C1_df
> _dup_JUN_2020_exp.dta saved

. 
end of do-file

---

sessionInfo()

R version 4.0.2 (2020-06-22)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=Spanish_Chile.1252  LC_CTYPE=Spanish_Chile.1252   
[3] LC_MONETARY=Spanish_Chile.1252 LC_NUMERIC=C                  
[5] LC_TIME=Spanish_Chile.1252    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] DT_0.14                    gdtools_0.2.2             
 [3] radiant_1.3.2              radiant.multivariate_1.3.6
 [5] radiant.model_1.3.12       radiant.basics_1.3.4      
 [7] radiant.design_1.3.5       mvtnorm_1.1-1             
 [9] radiant.data_1.3.9         lubridate_1.7.9           
[11] magrittr_1.5               choroplethrAdmin1_1.1.1   
[13] choroplethrMaps_1.0.1      acs_2.1.4                 
[15] XML_3.99-0.3               dplyr_1.0.0               
[17] tidylog_1.0.1              treemapify_2.5.3          
[19] ggiraph_0.7.0              chilemapas_0.2            
[21] sf_0.9-3                   finalfit_1.0.1            
[23] lsmeans_2.30-0             emmeans_1.4.7             
[25] RColorBrewer_1.1-2         panelr_0.7.3              
[27] lme4_1.1-23                Matrix_1.2-18             
[29] data.table_1.12.8          codebook_0.9.2            
[31] Statamarkdown_0.4.5        devtools_2.3.0            
[33] usethis_1.6.1              sqldf_0.4-11              
[35] RSQLite_2.2.0              gsubfn_0.7                
[37] proto_1.0.0                broom_0.7.12              
[39] zoo_1.8-8                  rbokeh_0.5.1              
[41] janitor_2.0.1              plotly_4.9.2.1            
[43] kableExtra_1.1.0           Hmisc_4.4-0               
[45] Formula_1.2-3              survival_3.2-3            
[47] lattice_0.20-41            ggplot2_3.3.2             
[49] stringr_1.4.0              stringi_1.4.6             
[51] tidyr_1.1.0                knitr_1.29                
[53] matrixStats_0.56.0         boot_1.3-28               
[55] here_0.1                  

loaded via a namespace (and not attached):
  [1] estimability_1.3        jqr_1.1.0               coda_0.19-4            
  [4] acepack_1.4.1           bit64_0.9-7             multcomp_1.4-13        
  [7] rpart_4.1-15            generics_0.0.2          callr_3.7.0            
 [10] TH.data_1.0-10          mice_3.9.0              ggfittext_0.9.0        
 [13] DiagrammeR_1.0.6.1.9000 chron_2.3-55            bit_1.1-15.2           
 [16] webshot_0.5.2           xml2_1.3.2              httpuv_1.5.4           
 [19] assertthat_0.2.1        gower_0.2.2             xfun_0.29              
 [22] hms_0.5.3               jquerylib_0.1.4         data.tree_0.7.11       
 [25] evaluate_0.14           promises_1.1.1          readxl_1.3.1           
 [28] randomizr_0.20.0        DBI_1.1.0               tmvnsim_1.0-2          
 [31] htmlwidgets_1.5.1       jsonvalidate_1.1.0      purrr_0.3.4            
 [34] ellipsis_0.3.1          import_1.1.0            crosstalk_1.1.0.1      
 [37] backports_1.1.8         V8_3.1.0                markdown_1.1           
 [40] pwr_1.3-0               vctrs_0.3.1             remotes_2.4.2          
 [43] abind_1.4-5             withr_2.4.3             pryr_0.1.4             
 [46] checkmate_2.0.0         ggmap_3.0.0             prettyunits_1.1.1      
 [49] mnormt_2.0.0            cluster_2.1.0           lazyeval_0.2.2         
 [52] clustMixType_0.2-15     crayon_1.3.4            crul_0.9.0             
 [55] labeling_0.3            pkgconfig_2.0.3         units_0.6-6            
 [58] nlme_3.1-148            pkgload_1.1.0           nnet_7.3-14            
 [61] rlang_1.0.1             RJSONIO_1.3-1.4         lifecycle_0.2.0        
 [64] sandwich_2.5-1          polycor_0.7-10          httpcode_0.3.0         
 [67] cellranger_1.1.0        tcltk_4.0.2             rprojroot_1.3-2        
 [70] shinyFiles_0.8.0.9003   carData_3.0-5           geojsonio_0.9.2        
 [73] base64enc_0.1-3         processx_3.5.2          rjson_0.2.20           
 [76] png_0.1-7               viridisLite_0.3.0       clisymbols_1.2.0       
 [79] bitops_1.0-7            KernSmooth_2.23-17      visNetwork_2.0.9       
 [82] geojson_0.3.2           pander_0.6.3            blob_1.2.2             
 [85] classInt_0.4-3          maptools_1.0-1          readr_1.3.1            
 [88] jpeg_0.1-8.1            shinyAce_0.4.1          scales_1.1.1           
 [91] memoise_1.1.0           plyr_1.8.6              hexbin_1.28.1          
 [94] compiler_4.0.2          snakecase_0.11.0        cli_3.1.1              
 [97] patchwork_1.0.1         ps_1.3.3                htmlTable_2.0.0        
[100] MASS_7.3-51.6           tidyselect_1.1.0        forcats_0.5.0          
[103] highr_0.8               jtools_2.0.5            yaml_2.2.1             
[106] latticeExtra_0.6-29     ggrepel_0.8.2           grid_4.0.2             
[109] tools_4.0.2             rmapshaper_0.4.4        rio_0.5.16             
[112] parallel_4.0.2          RgoogleMaps_1.4.5.3     rstudioapi_0.11        
[115] uuid_0.1-4              GPArotation_2014.11-1   foreign_0.8-80         
[118] NeuralNetTools_1.5.2    gridExtra_2.3           pdp_0.7.0              
[121] gistr_0.5.0             farver_2.0.3            rgeos_0.5-3            
[124] digest_0.6.25           shiny_1.5.0             geojsonlint_0.4.0      
[127] Rcpp_1.0.4.6            car_3.0-12              later_1.1.0.1          
[130] writexl_1.3             httr_1.4.2              WDI_2.6.0              
[133] psych_1.9.12.31         colorspace_1.4-1        rvest_0.3.5            
[136] fs_1.4.2                ranger_0.12.1           splines_4.0.2          
[139] statmod_1.4.34          sp_1.4-2                xgboost_1.1.1.1        
[142] sessioninfo_1.1.1       systemfonts_0.2.3       xtable_1.8-4           
[145] jsonlite_1.7.0          nloptr_1.2.2.1          AlgDesign_1.2.0        
[148] testthat_2.3.2          R6_2.4.1                pillar_1.4.6           
[151] htmltools_0.5.2         mime_0.9                glue_1.4.1             
[154] fastmap_1.1.0           minqa_1.2.4             class_7.3-17           
[157] codetools_0.2-18        maps_3.3.0              pkgbuild_1.1.0         
[160] tibble_3.0.1            curl_4.3                zip_2.0.4              
[163] openxlsx_4.1.5          rmarkdown_2.11          desc_1.2.0             
[166] munsell_0.5.0           e1071_1.7-3             labelled_2.5.0         
[169] haven_2.3.1             reshape2_1.4.4          gtable_0.3.0