Práctica 2. Importación y manipulación de datos
AE
1/10/2020
Consejo para escribir “código”"
En general, cuando hacemos nuestro código querremos verificar que nuestras librerías estén instaladas. Si actualizamos nuestro R y Rstudio es probable (sobre todo en MAC) que hayamos perdido alguno.
Este es un ejemplo de un código. Y vamos a introducir un paquete muy útil llamado “pacman”
if (!require("pacman")) install.packages("pacman") # instala pacman si se requiere## Loading required package: pacmanpacman::p_load(tidyverse,
readxl,writexl,googlesheets4, # importar hojas de cálculo
haven, foreign, # importación de dta y sab
sjlabelled, # etiquetas
janitor, skimr, #carga los paquetes necesarios para esta práctica
curl) # problema de proxies Importando más datos
Si estas desde tu escritorio ¡Recuerda establecer tu directorio!
setwd("/Users/anaescoto/Dropbox/2020/2021-1 R para Demográfos/repo/R_Demo")Hay muchos formatos de almacenamiento de bases de datos. Vamos a aprender a importar información desde ellos.
Desde Excel
El paquete más compatible con RStudio es readxl. A veces, otros paquetes tienen más problemas de configuración entre R y el Java.
library(readxl) # Recuerda que hay llamar al paqueteICI_2018 <- read_excel("./datos/ICI_2018.xlsx", sheet = "para_importar")## New names:
## * `` -> ...128
## * `` -> ...129
## * `` -> ...132
## * `PIB (Paridad de Poder Adquisitivo)` -> `PIB (Paridad de Poder Adquisitivo)...135`
## * `PIB (Paridad de Poder Adquisitivo)` -> `PIB (Paridad de Poder Adquisitivo)...136`
## * ...#View(ICI_2018)Como el nombre de paquete lo indica, sólo lee. Para escribir en este formato, recomiendo el paquete “writexl”. Lo instalamos anteriormente.
Si quisiéramos exportar un objeto a Excel
write_xlsx(ICI_2018, path = "Mi_Exportación.xlsx")Desde google
También podemos importar archivos de “google sheets”, utilizamos el paquete “googlesheets4”. Más sobre este paquete lo podemos revisar acá https://github.com/tidyverse/googlesheets4.
Debemos tener el link de “edición” del archivo y debe ser público, o debemos de tener permiso con la cuenta que vamos autenticar:
ej_google<-read_sheet("https://docs.google.com/spreadsheets/d/1gGEug2SgA8G1cOCSrmzkt4bmFYTZmpmz8UR4CpquRcI/edit#gid=0")## Using an auto-discovered, cached token.
## To suppress this message, modify your code or options to clearly consent to the use of a cached token.
## See gargle's "Non-interactive auth" vignette for more details:
## https://gargle.r-lib.org/articles/non-interactive-auth.html## The googlesheets4 package is using a cached token for ana.escoto@politicas.unam.mx.## Reading from "ejemplo_google_sheets"## Range "Hoja 1"
permiso
Es decir, necesitas una cuenta de la suite de google para hacer este proceso.
Actividad 1 en clase
¡Importa tu mismo la base de datos ICE_2018, está en la carpeta de datos!
Importación con foreing
Recordemos nuestra base importada desde .dbf
ecovid0420<-read.dbf("./datos/ecovid0420.dbf")Desde STATA y SPSS
Si bien también se puede realizar desde el paquete foreign. Pero este no importa algunas características como las etiquetas y tampoco funciona con las versiones más nuevas de STATA. Vamos a instalar otro paquete, compatible con el mundo tidyverse.
library(haven) #pacman lo cargó pero lo ponemos acá para hablar de esta funciónRecuerda que no hay que instalarlo (viene adentro de tidyverse). Se instalasólo la primera vez. Una vez instalado un paquete, lo llamamos con el comando “library”
ecovid0420 <- read_dta("./datos/ecovid0420.dta")!Importante, a R no le gustan los objetos con nombres que empiezan en números
El paquete haven sí exporta información.
write_dta(ecovid0420, "./datos/mi_exportación.dta", version = 12)Con SSPS es muy parecido. Dentro de “haven” hay una función específica para ello.
encevi_hogar<- read_sav("./datos/encevi_hogar.sav")Para escribir
write_sav(ecovid0420 , "mi_exportacion.sav")Checa que en todas las exportaciones en los nombres hay que incluir la extensión del programa. Si quieres guardar en un lugar diferente al directorio del trabajo, hay que escribir toda la ruta dentro de la computadora.
Revisión de nuestra base
Vamos a revisar la base, brevemente la base
class(ecovid0420) # tipo de objeto## [1] "tbl_df" "tbl" "data.frame"names(ecovid0420) # lista las variables## [1] "per" "ent" "con" "r_pre" "r_pre_dia"
## [6] "r_pre_mes" "r_def" "r_def_dia" "r_def_mes" "r_def_anio"
## [11] "pa1" "pa2_1" "pa2_1_1" "pa2_h_1" "pa2_h_2"
## [16] "pa2_h_3" "pa2_h_4" "pa2_h_5" "pa2_h_6" "pa2_h_7"
## [21] "pa2_h_8" "pa2_h_9" "pa2_2" "pa2_2_1" "pa2_m_1"
## [26] "pa2_m_2" "pa2_m_3" "pa2_m_4" "pa2_m_5" "pa2_m_6"
## [31] "pa2_m_7" "pa2_m_8" "pa2_m_9" "pa3_1" "pa3_1_1"
## [36] "pa3_2" "pa3_2_1" "pa3_3" "pa3_3_1" "pa4_1"
## [41] "pa4_2" "pa4_3" "pa4_4" "pb1" "pb2"
## [46] "pb3" "pc1_1" "pc1_2" "pc1_3" "pc1_4"
## [51] "pc2" "pc3" "pc4" "pc5_1" "pc5_2"
## [56] "pc5_3" "pc6" "pc7" "pd1" "pd2"
## [61] "pd3" "pe1" "pe2" "pe3" "pe4"
## [66] "pe5" "pe5_1" "pe6" "pe7" "pe8"
## [71] "pe9" "pe10" "pe10_1" "pe11" "pe12"
## [76] "pe12_1" "pe13" "pe14_1" "pe14_2" "pe14_3"
## [81] "pe14_4" "pe15" "pe16" "pe17" "pe18"
## [86] "pe19_1" "pe19_2" "pf1" "pf2" "pf3_1"
## [91] "pf3_2" "pf3_3" "pf3_4" "pf3_5" "pf3_6"
## [96] "pf4_1" "pf4_1_1" "pf5" "pf6_1" "pf6_2"
## [101] "pf6_3" "pf6_4" "pf7" "pf8" "pf9"
## [106] "pf10" "pf11" "pf12" "pf13" "pf14"
## [111] "pf15_1" "pf15_2" "pf15_3" "pf15_4" "pf15_5"
## [116] "pf16" "pg1" "pg2" "pg3" "pg4_1"
## [121] "pg4_2" "pg4_3" "pg4_4" "pg5" "pg6_1"
## [126] "pg6_2" "pg6_3" "pg6_4" "pg6_5" "pg7_1"
## [131] "pg7_2" "pg7_3" "pg7_4" "pg7_5" "pg7_6"
## [136] "pg7_7" "fac_viv" "fac_per" "clase1" "clase2"
## [141] "clase3" "dispob" "raz_dis" "pos_ocu" "s_act"
## [146] "n_tra" "local" "h_tra_sr" "a_ser_sal" "a_aus_t"
## [151] "no_tra_hh" "tra_men" "tra_mas" "tra_men35" "pos_ocu2"
## [156] "s_act2" "n_tra2" "local2" "a_ser_sal2" "per_tra"
## [161] "ing_dis" "f_ven" "inf_cov"head(ecovid0420) # muestra las primeras 6 líneas## # A tibble: 6 x 163
## per ent con r_pre r_pre_dia r_pre_mes r_def r_def_dia r_def_mes
## <dbl> <dbl+lb> <chr> <dbl+l> <dbl> <dbl> <dbl+l> <dbl> <dbl>
## 1 220 24 [ … 24E1… 0 [Ent… 30 4 0 [Ent… 30 4
## 2 220 10 [ … 10E1… 0 [Ent… 30 4 0 [Ent… 30 4
## 3 220 18 [ … 18E1… 0 [Ent… 30 4 0 [Ent… 30 4
## 4 220 16 [ … 16E1… 0 [Ent… 27 4 0 [Ent… 27 4
## 5 220 21 [ … 21E1… 0 [Ent… 28 4 0 [Ent… 28 4
## 6 220 12 [ … 12E1… 0 [Ent… 30 4 0 [Ent… 30 4
## # … with 154 more variables: r_def_anio <dbl>, pa1 <dbl>, pa2_1 <dbl>,
## # pa2_1_1 <dbl>, pa2_h_1 <dbl>, pa2_h_2 <dbl>, pa2_h_3 <dbl>, pa2_h_4 <dbl>,
## # pa2_h_5 <dbl>, pa2_h_6 <dbl>, pa2_h_7 <dbl>, pa2_h_8 <dbl>, pa2_h_9 <dbl>,
## # pa2_2 <dbl>, pa2_2_1 <dbl>, pa2_m_1 <dbl>, pa2_m_2 <dbl>, pa2_m_3 <dbl>,
## # pa2_m_4 <dbl>, pa2_m_5 <dbl>, pa2_m_6 <dbl>, pa2_m_7 <dbl>, pa2_m_8 <dbl>,
## # pa2_m_9 <dbl>, pa3_1 <dbl>, pa3_1_1 <dbl>, pa3_2 <dbl>, pa3_2_1 <dbl>,
## # pa3_3 <dbl>, pa3_3_1 <dbl>, pa4_1 <dbl>, pa4_2 <dbl>, pa4_3 <dbl>,
## # pa4_4 <dbl>, pb1 <dbl+lbl>, pb2 <dbl>, pb3 <dbl+lbl>, pc1_1 <dbl>,
## # pc1_2 <dbl>, pc1_3 <dbl>, pc1_4 <dbl>, pc2 <dbl>, pc3 <dbl+lbl>,
## # pc4 <dbl+lbl>, pc5_1 <dbl>, pc5_2 <dbl>, pc5_3 <dbl>, pc6 <dbl>, pc7 <dbl>,
## # pd1 <dbl>, pd2 <dbl>, pd3 <dbl>, pe1 <dbl>, pe2 <dbl>, pe3 <dbl>,
## # pe4 <dbl>, pe5 <dbl>, pe5_1 <dbl>, pe6 <dbl>, pe7 <dbl>, pe8 <dbl>,
## # pe9 <dbl>, pe10 <dbl>, pe10_1 <dbl>, pe11 <dbl>, pe12 <dbl>, pe12_1 <dbl>,
## # pe13 <dbl>, pe14_1 <dbl>, pe14_2 <dbl>, pe14_3 <dbl>, pe14_4 <dbl>,
## # pe15 <dbl>, pe16 <dbl>, pe17 <dbl>, pe18 <dbl>, pe19_1 <dbl>, pe19_2 <dbl>,
## # pf1 <dbl>, pf2 <dbl>, pf3_1 <dbl>, pf3_2 <dbl>, pf3_3 <dbl>, pf3_4 <dbl>,
## # pf3_5 <dbl>, pf3_6 <dbl>, pf4_1 <dbl>, pf4_1_1 <dbl>, pf5 <dbl>,
## # pf6_1 <dbl>, pf6_2 <dbl>, pf6_3 <dbl>, pf6_4 <dbl>, pf7 <dbl>, pf8 <dbl>,
## # pf9 <dbl>, pf10 <dbl>, pf11 <dbl>, pf12 <dbl>, pf13 <dbl>, …table(ecovid0420$CLASE2) # un tabulado simple## Warning: Unknown or uninitialised column: `CLASE2`.## < table of extent 0 >Revisión con dplyr
library(dplyr) Operador de “pipe” o “tubería” %>% (Ctrl+Shift+M) Antes de continuar, presentemos el operador “pipe” %>%. dplyr importa este operador de otro paquete (magrittr). Este operador le permite canalizar la salida de una función a la entrada de otra función. En lugar de funciones de anidamiento (lectura desde adentro hacia afuera), la idea de la tubería es leer las funciones de izquierda a derecha.
ecovid0420 %>%
select(pb1, pb2) %>%
head## # A tibble: 6 x 2
## pb1 pb2
## <dbl+lbl> <dbl>
## 1 1 [Hombre] 38
## 2 1 [Hombre] 82
## 3 1 [Hombre] 50
## 4 1 [Hombre] 18
## 5 2 [Mujer] 23
## 6 1 [Hombre] 40ecovid0420 %>%
select(pb1, pb2) %>%
glimpse## Rows: 5,593
## Columns: 2
## $ pb1 <dbl+lbl> 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2…
## $ pb2 <dbl> 38, 82, 50, 18, 23, 40, 44, 70, 64, 24, 30, 40, 20, 46, 38, 30, 4…Revisión con skimr
“skimr” es un paquete nos permite tener una perspectiva de nuestra base de datos. Dependiendo del tipo de variable nos da diferentes elementos. La aplicaremos a nuestra base de la ecovid
ecovid0420 %>%
skim()## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.
## Warning: Couldn't find skimmers for class: haven_labelled, vctrs_vctr, double,
## numeric; No user-defined `sfl` provided. Falling back to `character`.| Name | Piped data |
| Number of rows | 5593 |
| Number of columns | 163 |
| _______________________ | |
| Column type frequency: | |
| character | 10 |
| numeric | 153 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| per | 0 | 1.00 | 3 | 3 | 0 | 1 | 0 |
| ent | 0 | 1.00 | 1 | 2 | 0 | 32 | 0 |
| con | 0 | 1.00 | 8 | 8 | 0 | 5593 | 0 |
| r_pre | 0 | 1.00 | 1 | 1 | 0 | 7 | 0 |
| r_def | 0 | 1.00 | 1 | 1 | 0 | 1 | 0 |
| pb1 | 0 | 1.00 | 1 | 1 | 0 | 2 | 0 |
| pb3 | 0 | 1.00 | 1 | 1 | 0 | 10 | 0 |
| pc3 | 3471 | 0.38 | 1 | 1 | 0 | 5 | 0 |
| pc4 | 4330 | 0.23 | 1 | 2 | 0 | 12 | 0 |
| clase3 | 0 | 1.00 | 1 | 2 | 0 | 11 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| r_pre_dia | 0 | 1.00 | 28.76 | 1.33 | 2 | 28.00 | 29.0 | 30.00 | 30 | ▁▁▁▁▇ |
| r_pre_mes | 0 | 1.00 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| r_def_dia | 0 | 1.00 | 28.78 | 1.33 | 2 | 28.00 | 29.0 | 30.00 | 30 | ▁▁▁▁▇ |
| r_def_mes | 0 | 1.00 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| r_def_anio | 0 | 1.00 | 20.00 | 0.00 | 20 | 20.00 | 20.0 | 20.00 | 20 | ▁▁▇▁▁ |
| pa1 | 0 | 1.00 | 4.14 | 2.40 | 1 | 3.00 | 4.0 | 5.00 | 99 | ▇▁▁▁▁ |
| pa2_1 | 358 | 0.94 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pa2_1_1 | 359 | 0.94 | 2.15 | 1.79 | 0 | 1.00 | 2.0 | 3.00 | 99 | ▇▁▁▁▁ |
| pa2_h_1 | 412 | 0.93 | 43.33 | 18.73 | 0 | 30.00 | 43.0 | 56.00 | 98 | ▂▇▇▅▁ |
| pa2_h_2 | 2276 | 0.59 | 23.27 | 15.62 | 0 | 12.00 | 20.0 | 31.00 | 98 | ▇▆▂▁▁ |
| pa2_h_3 | 4007 | 0.28 | 20.14 | 15.93 | 0 | 9.00 | 16.0 | 27.00 | 98 | ▇▃▂▁▁ |
| pa2_h_4 | 5026 | 0.10 | 18.10 | 16.51 | 0 | 6.00 | 13.0 | 25.00 | 98 | ▇▂▁▁▁ |
| pa2_h_5 | 5378 | 0.04 | 18.02 | 18.13 | 0 | 5.00 | 12.0 | 25.00 | 98 | ▇▂▁▁▁ |
| pa2_h_6 | 5520 | 0.01 | 11.63 | 12.18 | 0 | 2.00 | 9.0 | 15.00 | 69 | ▇▂▁▁▁ |
| pa2_h_7 | 5571 | 0.00 | 16.05 | 16.97 | 0 | 4.50 | 8.5 | 23.00 | 74 | ▇▃▁▁▁ |
| pa2_h_8 | 5584 | 0.00 | 13.67 | 9.45 | 3 | 6.00 | 10.0 | 20.00 | 30 | ▇▂▂▂▃ |
| pa2_h_9 | 5589 | 0.00 | 20.75 | 11.81 | 6 | 15.00 | 21.5 | 27.25 | 34 | ▇▁▇▇▇ |
| pa2_2 | 288 | 0.95 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pa2_2_1 | 288 | 0.95 | 2.26 | 1.83 | 0 | 1.00 | 2.0 | 3.00 | 99 | ▇▁▁▁▁ |
| pa2_m_1 | 367 | 0.93 | 44.66 | 17.71 | 0 | 32.00 | 44.0 | 57.00 | 98 | ▂▇▇▅▁ |
| pa2_m_2 | 2120 | 0.62 | 25.82 | 17.48 | 0 | 13.00 | 22.0 | 35.00 | 98 | ▇▇▂▁▁ |
| pa2_m_3 | 3846 | 0.31 | 20.52 | 16.23 | 0 | 9.00 | 17.0 | 27.00 | 98 | ▇▃▁▁▁ |
| pa2_m_4 | 4863 | 0.13 | 17.98 | 16.29 | 0 | 6.00 | 14.0 | 24.00 | 98 | ▇▂▁▁▁ |
| pa2_m_5 | 5322 | 0.05 | 16.13 | 16.64 | 0 | 5.00 | 10.0 | 21.00 | 87 | ▇▂▁▁▁ |
| pa2_m_6 | 5497 | 0.02 | 15.84 | 16.88 | 0 | 4.75 | 10.5 | 20.25 | 85 | ▇▂▁▁▁ |
| pa2_m_7 | 5556 | 0.01 | 10.30 | 10.41 | 0 | 3.00 | 6.0 | 16.00 | 52 | ▇▅▁▁▁ |
| pa2_m_8 | 5580 | 0.00 | 7.46 | 6.20 | 0 | 2.00 | 7.0 | 14.00 | 17 | ▇▂▅▁▆ |
| pa2_m_9 | 5586 | 0.00 | 18.43 | 27.46 | 3 | 5.50 | 8.0 | 13.50 | 80 | ▇▁▁▁▁ |
| pa3_1 | 477 | 0.91 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pa3_1_1 | 477 | 0.91 | 1.82 | 1.02 | 1 | 1.00 | 2.0 | 2.00 | 11 | ▇▁▁▁▁ |
| pa3_2 | 1014 | 0.82 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pa3_2_1 | 1014 | 0.82 | 1.77 | 1.10 | 1 | 1.00 | 1.0 | 2.00 | 12 | ▇▁▁▁▁ |
| pa3_3 | 2539 | 0.55 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pa3_3_1 | 2539 | 0.55 | 1.88 | 0.96 | 1 | 1.00 | 2.0 | 2.00 | 9 | ▇▂▁▁▁ |
| pa4_1 | 3412 | 0.39 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pa4_2 | 2563 | 0.54 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pa4_3 | 4844 | 0.13 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pa4_4 | 3219 | 0.42 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pb2 | 25 | 1.00 | 42.81 | 15.82 | 18 | 30.00 | 41.0 | 54.00 | 98 | ▇▇▅▂▁ |
| pc1_1 | 3239 | 0.42 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pc1_2 | 5153 | 0.08 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pc1_3 | 4879 | 0.13 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pc1_4 | 3471 | 0.38 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pc2 | 2122 | 0.62 | 1.32 | 0.47 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pc5_1 | 5213 | 0.07 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pc5_2 | 5578 | 0.00 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pc5_3 | 4745 | 0.15 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pc6 | 4732 | 0.15 | 3.09 | 1.48 | 1 | 2.00 | 2.0 | 5.00 | 6 | ▇▁▁▃▁ |
| pc7 | 5209 | 0.07 | 1.17 | 0.38 | 1 | 1.00 | 1.0 | 1.00 | 2 | ▇▁▁▁▂ |
| pd1 | 3357 | 0.40 | 1.87 | 0.33 | 1 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▁▁▇ |
| pd2 | 3639 | 0.35 | 1.55 | 0.50 | 1 | 1.00 | 2.0 | 2.00 | 2 | ▆▁▁▁▇ |
| pd3 | 4709 | 0.16 | 3.54 | 3.36 | 1 | 1.00 | 1.0 | 8.00 | 10 | ▇▂▁▂▂ |
| pe1 | 2240 | 0.60 | 5486.24 | 2642.58 | 1113 | 3111.00 | 5114.0 | 8101.00 | 9999 | ▇▇▅▆▇ |
| pe2 | 2240 | 0.60 | 2.00 | 0.05 | 1 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▁▁▇ |
| pe3 | 2248 | 0.60 | 2.36 | 1.83 | 1 | 1.00 | 1.0 | 5.00 | 6 | ▇▁▁▃▁ |
| pe4 | 2248 | 0.60 | 1.45 | 0.58 | 1 | 1.00 | 1.0 | 2.00 | 4 | ▇▅▁▁▁ |
| pe5 | 2248 | 0.60 | 4934.11 | 2278.17 | 1110 | 3150.00 | 4671.0 | 6222.00 | 9999 | ▅▇▇▅▂ |
| pe5_1 | 2248 | 0.60 | 4.73 | 1.73 | 1 | 3.00 | 5.0 | 6.00 | 9 | ▂▃▃▇▁ |
| pe6 | 2391 | 0.57 | 2.90 | 2.29 | 1 | 1.00 | 1.0 | 5.00 | 9 | ▇▁▁▃▁ |
| pe7 | 2391 | 0.57 | 3.82 | 1.30 | 1 | 3.00 | 4.0 | 5.00 | 5 | ▂▂▂▇▇ |
| pe8 | 4376 | 0.22 | 3.42 | 0.82 | 1 | 3.00 | 4.0 | 4.00 | 9 | ▁▇▁▁▁ |
| pe9 | 4905 | 0.12 | 4.81 | 1.40 | 1 | 4.00 | 5.0 | 6.00 | 7 | ▂▂▂▇▇ |
| pe10 | 2251 | 0.60 | 1.26 | 0.44 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pe10_1 | 3131 | 0.44 | 32.65 | 19.62 | 1 | 16.00 | 35.0 | 48.00 | 99 | ▇▇▆▂▁ |
| pe11 | 3131 | 0.44 | 1.45 | 0.50 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▆ |
| pe12 | 3600 | 0.36 | 1.20 | 0.40 | 1 | 1.00 | 1.0 | 1.00 | 2 | ▇▁▁▁▂ |
| pe12_1 | 3992 | 0.29 | 39.83 | 15.96 | 2 | 30.00 | 42.0 | 48.00 | 99 | ▃▆▇▁▁ |
| pe13 | 3992 | 0.29 | 3.81 | 3.04 | 1 | 1.00 | 4.0 | 6.00 | 11 | ▇▂▅▁▁ |
| pe14_1 | 3395 | 0.39 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pe14_2 | 4556 | 0.19 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pe14_3 | 5541 | 0.01 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pe14_4 | 5535 | 0.01 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pe15 | 2251 | 0.60 | 2.81 | 1.40 | 1 | 1.00 | 4.0 | 4.00 | 4 | ▅▁▁▁▇ |
| pe16 | 2251 | 0.60 | 1.32 | 0.47 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pe17 | 4519 | 0.19 | 2.53 | 2.26 | 1 | 1.00 | 1.0 | 2.00 | 7 | ▇▁▁▁▂ |
| pe18 | 4694 | 0.16 | 4.09 | 1.47 | 1 | 3.00 | 5.0 | 5.00 | 5 | ▂▁▂▁▇ |
| pe19_1 | 2251 | 0.60 | 2.69 | 0.83 | 1 | 2.00 | 3.0 | 3.00 | 9 | ▃▇▁▁▁ |
| pe19_2 | 5264 | 0.06 | 2.33 | 1.12 | 1 | 1.00 | 2.0 | 3.00 | 4 | ▇▆▁▆▅ |
| pf1 | 2251 | 0.60 | 1.79 | 0.41 | 1 | 2.00 | 2.0 | 2.00 | 2 | ▂▁▁▁▇ |
| pf2 | 4898 | 0.12 | 1.34 | 0.56 | 1 | 1.00 | 1.0 | 2.00 | 3 | ▇▁▃▁▁ |
| pf3_1 | 5444 | 0.03 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pf3_2 | 5361 | 0.04 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pf3_3 | 4987 | 0.11 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pf3_4 | 5422 | 0.03 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pf3_5 | 5298 | 0.05 | 5.00 | 0.00 | 5 | 5.00 | 5.0 | 5.00 | 5 | ▁▁▇▁▁ |
| pf3_6 | 5541 | 0.01 | 6.00 | 0.00 | 6 | 6.00 | 6.0 | 6.00 | 6 | ▁▁▇▁▁ |
| pf4_1 | 4898 | 0.12 | 1.75 | 0.43 | 1 | 2.00 | 2.0 | 2.00 | 2 | ▂▁▁▁▇ |
| pf4_1_1 | 5420 | 0.03 | 1.03 | 0.18 | 1 | 1.00 | 1.0 | 1.00 | 2 | ▇▁▁▁▁ |
| pf5 | 5420 | 0.03 | 1.54 | 1.09 | 1 | 1.00 | 1.0 | 1.00 | 4 | ▇▁▁▁▂ |
| pf6_1 | 5557 | 0.01 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pf6_2 | 5566 | 0.00 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pf6_3 | 5550 | 0.01 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pf6_4 | 4992 | 0.11 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pf7 | 2251 | 0.60 | 1.27 | 0.45 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pf8 | 2251 | 0.60 | 2.14 | 1.17 | 1 | 1.00 | 2.0 | 3.00 | 4 | ▇▇▁▁▅ |
| pf9 | 3043 | 0.46 | 1.20 | 0.55 | 1 | 1.00 | 1.0 | 1.00 | 3 | ▇▁▁▁▁ |
| pf10 | 2251 | 0.60 | 1.86 | 0.99 | 1 | 1.00 | 2.0 | 2.00 | 4 | ▇▇▁▁▂ |
| pf11 | 2251 | 0.60 | 1.32 | 0.47 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pf12 | 3325 | 0.41 | 1.69 | 0.46 | 1 | 1.00 | 2.0 | 2.00 | 2 | ▃▁▁▁▇ |
| pf13 | 4895 | 0.12 | 2.05 | 0.82 | 1 | 1.00 | 2.0 | 3.00 | 3 | ▇▁▇▁▇ |
| pf14 | 4895 | 0.12 | 2.89 | 0.43 | 1 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▁▁▇ |
| pf15_1 | 5344 | 0.04 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pf15_2 | 5474 | 0.02 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pf15_3 | 5398 | 0.03 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pf15_4 | 5564 | 0.01 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pf15_5 | 2786 | 0.50 | 5.00 | 0.00 | 5 | 5.00 | 5.0 | 5.00 | 5 | ▁▁▇▁▁ |
| pf16 | 2251 | 0.60 | 1.84 | 0.37 | 1 | 2.00 | 2.0 | 2.00 | 2 | ▂▁▁▁▇ |
| pg1 | 0 | 1.00 | 1.30 | 0.46 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pg2 | 0 | 1.00 | 1.67 | 0.47 | 1 | 1.00 | 2.0 | 2.00 | 2 | ▃▁▁▁▇ |
| pg3 | 0 | 1.00 | 1.32 | 0.47 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| pg4_1 | 5186 | 0.07 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pg4_2 | 4493 | 0.20 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pg4_3 | 5369 | 0.04 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pg4_4 | 3261 | 0.42 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pg5 | 0 | 1.00 | 1.01 | 0.10 | 1 | 1.00 | 1.0 | 1.00 | 2 | ▇▁▁▁▁ |
| pg6_1 | 905 | 0.84 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pg6_2 | 3829 | 0.32 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pg6_3 | 3788 | 0.32 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pg6_4 | 2960 | 0.47 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pg6_5 | 5277 | 0.06 | 5.00 | 0.00 | 5 | 5.00 | 5.0 | 5.00 | 5 | ▁▁▇▁▁ |
| pg7_1 | 294 | 0.95 | 1.00 | 0.00 | 1 | 1.00 | 1.0 | 1.00 | 1 | ▁▁▇▁▁ |
| pg7_2 | 1450 | 0.74 | 2.00 | 0.00 | 2 | 2.00 | 2.0 | 2.00 | 2 | ▁▁▇▁▁ |
| pg7_3 | 765 | 0.86 | 3.00 | 0.00 | 3 | 3.00 | 3.0 | 3.00 | 3 | ▁▁▇▁▁ |
| pg7_4 | 1019 | 0.82 | 4.00 | 0.00 | 4 | 4.00 | 4.0 | 4.00 | 4 | ▁▁▇▁▁ |
| pg7_5 | 1245 | 0.78 | 5.00 | 0.00 | 5 | 5.00 | 5.0 | 5.00 | 5 | ▁▁▇▁▁ |
| pg7_6 | 2304 | 0.59 | 6.00 | 0.00 | 6 | 6.00 | 6.0 | 6.00 | 6 | ▁▁▇▁▁ |
| pg7_7 | 5557 | 0.01 | 7.00 | 0.00 | 7 | 7.00 | 7.0 | 7.00 | 7 | ▁▁▇▁▁ |
| fac_viv | 0 | 1.00 | 4577.96 | 4314.04 | 68 | 1806.00 | 3236.0 | 6014.00 | 59674 | ▇▁▁▁▁ |
| fac_per | 0 | 1.00 | 12191.03 | 9998.31 | 1 | 5498.00 | 8777.0 | 16166.00 | 77360 | ▇▂▁▁▁ |
| clase1 | 0 | 1.00 | 1.45 | 0.50 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▆ |
| clase2 | 0 | 1.00 | 2.18 | 1.30 | 1 | 1.00 | 1.0 | 4.00 | 4 | ▇▁▁▃▃ |
| dispob | 0 | 1.00 | 0.26 | 0.58 | 0 | 0.00 | 0.0 | 0.00 | 2 | ▇▁▁▁▁ |
| raz_dis | 0 | 1.00 | 0.22 | 0.47 | 0 | 0.00 | 0.0 | 0.00 | 3 | ▇▂▁▁▁ |
| pos_ocu | 0 | 1.00 | 0.68 | 0.74 | 0 | 0.00 | 1.0 | 1.00 | 3 | ▇▆▁▂▁ |
| s_act | 0 | 1.00 | 2.43 | 2.67 | 0 | 0.00 | 1.0 | 5.00 | 8 | ▇▁▁▅▁ |
| n_tra | 0 | 1.00 | 1.65 | 2.30 | 0 | 0.00 | 1.0 | 2.00 | 7 | ▇▁▁▁▂ |
| local | 0 | 1.00 | 0.68 | 0.74 | 0 | 0.00 | 1.0 | 1.00 | 3 | ▇▆▁▃▁ |
| h_tra_sr | 0 | 1.00 | 1.88 | 2.29 | 0 | 0.00 | 1.0 | 4.00 | 7 | ▇▁▃▁▁ |
| a_ser_sal | 0 | 1.00 | 0.78 | 0.84 | 0 | 0.00 | 1.0 | 2.00 | 3 | ▇▅▁▅▁ |
| a_aus_t | 0 | 1.00 | 1.74 | 1.90 | 0 | 0.00 | 1.0 | 4.00 | 4 | ▇▂▁▁▇ |
| no_tra_hh | 0 | 1.00 | 0.39 | 0.98 | 0 | 0.00 | 0.0 | 0.00 | 4 | ▇▁▁▁▁ |
| tra_men | 0 | 1.00 | 0.15 | 0.38 | 0 | 0.00 | 0.0 | 0.00 | 2 | ▇▁▁▁▁ |
| tra_mas | 0 | 1.00 | 0.02 | 0.18 | 0 | 0.00 | 0.0 | 0.00 | 2 | ▇▁▁▁▁ |
| tra_men35 | 0 | 1.00 | 0.12 | 0.33 | 0 | 0.00 | 0.0 | 0.00 | 1 | ▇▁▁▁▁ |
| pos_ocu2 | 0 | 1.00 | 0.13 | 0.47 | 0 | 0.00 | 0.0 | 0.00 | 3 | ▇▁▁▁▁ |
| s_act2 | 0 | 1.00 | 0.25 | 0.89 | 0 | 0.00 | 0.0 | 0.00 | 5 | ▇▁▁▁▁ |
| n_tra2 | 0 | 1.00 | 0.13 | 0.57 | 0 | 0.00 | 0.0 | 0.00 | 5 | ▇▁▁▁▁ |
| local2 | 0 | 1.00 | 0.12 | 0.44 | 0 | 0.00 | 0.0 | 0.00 | 3 | ▇▁▁▁▁ |
| a_ser_sal2 | 0 | 1.00 | 0.15 | 0.53 | 0 | 0.00 | 0.0 | 0.00 | 2 | ▇▁▁▁▁ |
| per_tra | 0 | 1.00 | 1.67 | 0.47 | 1 | 1.00 | 2.0 | 2.00 | 2 | ▃▁▁▁▇ |
| ing_dis | 0 | 1.00 | 1.32 | 0.47 | 1 | 1.00 | 1.0 | 2.00 | 2 | ▇▁▁▁▃ |
| f_ven | 0 | 1.00 | 2.05 | 0.76 | 1 | 1.00 | 2.0 | 3.00 | 3 | ▅▁▇▁▆ |
| inf_cov | 0 | 1.00 | 1.01 | 0.10 | 1 | 1.00 | 1.0 | 1.00 | 2 | ▇▁▁▁▁ |
Actividad durante la clase
Aplica el comando skimr a la base que importaste ICE_2018.
Limpieza de nombres
Primero lo haremos con “janitor” en poco tiempo ha llegado a ser uno de mis paquetes favoritos, por sus funciones de limpieza de datos, también lo usaremos para tablas.
La función “clean_names” nos permite limpiar los nombre. Primero busquemos la ayuda de este comando
help(clean_names)## Help on topic 'clean_names' was found in the following packages:
##
## Package Library
## janitor /Library/Frameworks/R.framework/Versions/4.0/Resources/library
## insight /Library/Frameworks/R.framework/Versions/4.0/Resources/library
##
##
## Using the first match ...O podemos checar los métodos por aquí https://www.rdocumentation.org/packages/janitor/versions/1.2.1/topics/clean_names
Vamos a limpiar nuestra base descargada desde google:
base_limpia<-ej_google %>%
clean_names() # por default, usa "snake"base_limpia <- ej_google %>%
clean_names(case="screaming_snake") # all capsbase_limpia <- ej_google %>%
clean_names(case="screaming_snake") # all caps
names(base_limpia)## [1] "REGION"
## [2] "EDO"
## [3] "EDO2"
## [4] "REGION2"
## [5] "HOMICIDIOS"
## [6] "SECUESTROS"
## [7] "ROBO_DE_VEHICULOS"
## [8] "COSTOS_DEL_DELITO"
## [9] "INCIDENCIA_DELICTIVA"
## [10] "DELITOS_DENUNCIADOS"
## [11] "PERCEPCION_DE_SEGURIDAD"
## [12] "COMPETENCIA_EN_SERVICIOS_NOTARIALES"
## [13] "CUMPLIMIENTO_DE_CONTRATOS"
## [14] "CAUDAL_TRATADO_DE_AGUAS_RESIDUALES"
## [15] "EFICIENCIA_ECONOMICA_DEL_AGUA_EN_LA_AGRICULTURA"
## [16] "MORBILIDAD_POR_ENFERMEDADES_RESPIRATORIAS"
## [17] "PERDIDA_DE_SUPERFICIE_CUBIERTA_POR_ARBOLES"
## [18] "AREAS_NATURALES_PROTEGIDAS"
## [19] "VOLUMEN_DE_RESIDUOS_SOLIDOS_GENERADOS"
## [20] "DISPOSICION_ADECUADA_DE_RESIDUOS_SOLIDOS"
## [21] "INTENSIDAD_ENERGETICA_DE_LA_ECONOMIA"También podemos incluir prefijos
base_limpia <- ej_google %>%
clean_names(case="screaming_snake", prefix="ICI_") # all caps
names(base_limpia)## [1] "ICI_REGION"
## [2] "ICI_EDO"
## [3] "ICI_EDO2"
## [4] "ICI_REGION2"
## [5] "ICI_HOMICIDIOS"
## [6] "ICI_SECUESTROS"
## [7] "ICI_ROBO_DE_VEHICULOS"
## [8] "ICI_COSTOS_DEL_DELITO"
## [9] "ICI_INCIDENCIA_DELICTIVA"
## [10] "ICI_DELITOS_DENUNCIADOS"
## [11] "ICI_PERCEPCION_DE_SEGURIDAD"
## [12] "ICI_COMPETENCIA_EN_SERVICIOS_NOTARIALES"
## [13] "ICI_CUMPLIMIENTO_DE_CONTRATOS"
## [14] "ICI_CAUDAL_TRATADO_DE_AGUAS_RESIDUALES"
## [15] "ICI_EFICIENCIA_ECONOMICA_DEL_AGUA_EN_LA_AGRICULTURA"
## [16] "ICI_MORBILIDAD_POR_ENFERMEDADES_RESPIRATORIAS"
## [17] "ICI_PERDIDA_DE_SUPERFICIE_CUBIERTA_POR_ARBOLES"
## [18] "ICI_AREAS_NATURALES_PROTEGIDAS"
## [19] "ICI_VOLUMEN_DE_RESIDUOS_SOLIDOS_GENERADOS"
## [20] "ICI_DISPOSICION_ADECUADA_DE_RESIDUOS_SOLIDOS"
## [21] "ICI_INTENSIDAD_ENERGETICA_DE_LA_ECONOMIA"… y sufijos
base_limpia <- ej_google %>%
clean_names(case="screaming_snake", postfix="_ICI") # all caps
names(base_limpia)## [1] "REGION_ICI"
## [2] "EDO_ICI"
## [3] "EDO2_ICI"
## [4] "REGION2_ICI"
## [5] "HOMICIDIOS_ICI"
## [6] "SECUESTROS_ICI"
## [7] "ROBO_DE_VEHICULOS_ICI"
## [8] "COSTOS_DEL_DELITO_ICI"
## [9] "INCIDENCIA_DELICTIVA_ICI"
## [10] "DELITOS_DENUNCIADOS_ICI"
## [11] "PERCEPCION_DE_SEGURIDAD_ICI"
## [12] "COMPETENCIA_EN_SERVICIOS_NOTARIALES_ICI"
## [13] "CUMPLIMIENTO_DE_CONTRATOS_ICI"
## [14] "CAUDAL_TRATADO_DE_AGUAS_RESIDUALES_ICI"
## [15] "EFICIENCIA_ECONOMICA_DEL_AGUA_EN_LA_AGRICULTURA_ICI"
## [16] "MORBILIDAD_POR_ENFERMEDADES_RESPIRATORIAS_ICI"
## [17] "PERDIDA_DE_SUPERFICIE_CUBIERTA_POR_ARBOLES_ICI"
## [18] "AREAS_NATURALES_PROTEGIDAS_ICI"
## [19] "VOLUMEN_DE_RESIDUOS_SOLIDOS_GENERADOS_ICI"
## [20] "DISPOSICION_ADECUADA_DE_RESIDUOS_SOLIDOS_ICI"
## [21] "INTENSIDAD_ENERGETICA_DE_LA_ECONOMIA_ICI"Actividad en clase
Limpia los nombre de la base ICE_2018, elije un case específico que no sea el del ejemplo
Etiquetas importadas y cómo usarlas
Podemos ver que los objetos “data.frame”(spoiler, ya hablaremos de ellos), tiene una clase que se llama “haven_labelled”
class(ecovid0420$pb1)## [1] "haven_labelled" "vctrs_vctr" "double"¿Esto que significa? Que en el programa original hay alguna etiqueta que podemos usar.
library(sjlabelled)
table(ecovid0420$pb1)##
## 1 2
## 2393 3200table(as_label(ecovid0420$pb1))##
## Hombre Mujer
## 2393 3200Leer desde archivos de texto y desde una url
Desde el portal https://datos.gob.mx/ tenemos acceso a directo a varias fuentes de información, al ser datos abiertos, los archivos de texto son muy comunes.
Leeremos parte de esa información, específicamente la de CONAPO https://datos.gob.mx/busca/dataset/proyecciones-de-la-poblacion-de-mexico-y-de-las-entidades-federativas-2016-2050
En estas bases hay acentos y otros carecteres especiales del español, por lo que agregaremos una opción de “encoding”, de lo contrario da error.
#mig_inter_quin_proyecciones <- read.csv("http://www.conapo.gob.mx/work/models/CONAPO/Datos_Abiertos/Proyecciones2018/mig_inter_quin_proyecciones.csv", encoding="latin1")
#View(mig_inter_quin_proyecciones)
#names(mig_inter_quin_proyecciones)Ahorita hay un problema de certificados, por lo que vamos a descargarlo desde el repositorio
pob_mit_proyecciones.csv <- read.csv("https://github.com/aniuxa/R_Demo/raw/master/datos/pob_mit_proyecciones.csv", encoding="latin1")
#View(pob_mit_proyecciones.csv)
names(pob_mit_proyecciones.csv)## [1] "RENGLON" "AÑO" "ENTIDAD" "CVE_GEO" "EDAD" "SEXO"
## [7] "POBLACION"Revisando ECOVID-ML
Vamos a trabajar con la ECOVID-ML, una nueva fuente desarrollada por INEGI. https://www.inegi.org.mx/investigacion/ecovidml/2020/
Obtener información básica complementaria sobre ocupación y empleo y el efecto sobre el mercado laboral de la pandemia originada por el COVID-19.
Objetivos específicos Identificar a los ocupados y las características básicas del contexto laboral. Identificar a los no ocupados, la condición de búsqueda de trabajo, deseo de trabajar y el motivo por el que no buscó trabajo. Captar información de los ausentes que retornarán a su trabajo al terminar la contingencia, como acercamiento a la caracterización de la pérdida de trabajo. Recopilar información sobre cómo la población está afrontando la pandemia con énfasis en el trabajo, ocupación y empleo. Conocer el medio por el que las personas se mantienen informadas de la situación y las medidas de protección que siguen por la contingencia sanitaria.
Ojeando
glimpse(ecovid0420)## Rows: 5,593
## Columns: 163
## $ per <dbl+lbl> 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,…
## $ ent <dbl+lbl> 24, 10, 18, 16, 21, 12, 7, 10, 12, 4, 12, 17, 11, 20…
## $ con <chr> "24E10476", "10E10586", "18E10542", "16E10239", "21E10113"…
## $ r_pre <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ r_pre_dia <dbl> 30, 30, 30, 27, 28, 30, 30, 30, 30, 28, 30, 27, 27, 30, 27…
## $ r_pre_mes <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4…
## $ r_def <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ r_def_dia <dbl> 30, 30, 30, 27, 28, 30, 30, 30, 30, 28, 30, 27, 27, 30, 27…
## $ r_def_mes <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4…
## $ r_def_anio <dbl> 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20…
## $ pa1 <dbl> 4, 1, 8, 5, 7, 12, 6, 2, 5, 7, 7, 4, 9, 6, 4, 2, 2, 6, 4, …
## $ pa2_1 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pa2_1_1 <dbl> 1, 1, 5, 4, 3, 6, 5, 1, 1, 3, 2, 2, 5, 3, 2, 2, 1, 4, 2, 1…
## $ pa2_h_1 <dbl> 38, 82, 3, 23, 74, 40, 49, 70, 64, 24, 30, 40, 30, 46, 38,…
## $ pa2_h_2 <dbl> NA, NA, 9, 18, 38, 21, 48, NA, NA, 50, 60, 14, 20, 16, 12,…
## $ pa2_h_3 <dbl> NA, NA, 23, 12, 18, 20, 44, NA, NA, 1, NA, NA, NA, 2, NA, …
## $ pa2_h_4 <dbl> NA, NA, 50, 5, NA, 19, 40, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pa2_h_5 <dbl> NA, NA, 32, NA, NA, 17, 36, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_h_6 <dbl> NA, NA, NA, NA, NA, 15, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_h_7 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_h_8 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_h_9 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_2 <dbl> 2, NA, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
## $ pa2_2_1 <dbl> 3, NA, 3, 1, 4, 6, 1, 1, 4, 4, 5, 2, 4, 3, 2, 0, 1, 2, 2, …
## $ pa2_m_1 <dbl> 35, NA, 8, 40, 66, 40, 62, 67, 64, 22, 60, 38, 22, 26, 36,…
## $ pa2_m_2 <dbl> 9, NA, 42, NA, 37, 14, NA, NA, 16, 45, 30, 13, NA, 46, 9, …
## $ pa2_m_3 <dbl> 7, NA, 22, NA, 17, 12, NA, NA, 18, 22, 18, NA, NA, 86, NA,…
## $ pa2_m_4 <dbl> NA, NA, NA, NA, 12, 10, NA, NA, 4, 23, 15, NA, NA, NA, NA,…
## $ pa2_m_5 <dbl> NA, NA, NA, NA, NA, 8, NA, NA, NA, NA, 11, NA, NA, NA, NA,…
## $ pa2_m_6 <dbl> NA, NA, NA, NA, NA, 6, NA, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pa2_m_7 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_m_8 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa2_m_9 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa3_1 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pa3_1_1 <dbl> 1, 1, 2, 2, 2, 2, 5, 1, 1, 3, 2, 3, 4, 2, 1, 2, 1, 2, 2, 1…
## $ pa3_2 <dbl> 2, NA, 2, 2, 2, 2, 2, 2, 2, NA, 2, NA, 2, 2, 2, NA, 2, 2, …
## $ pa3_2_1 <dbl> 2, NA, 3, 3, 7, 5, 1, 1, 3, NA, 2, NA, 4, 2, 1, NA, 2, 5, …
## $ pa3_3 <dbl> 3, NA, 3, NA, 3, 3, NA, NA, 3, NA, 3, 3, NA, NA, 3, NA, NA…
## $ pa3_3_1 <dbl> 2, NA, 2, NA, 3, 5, NA, NA, 2, NA, 1, 1, NA, NA, 2, NA, NA…
## $ pa4_1 <dbl> NA, NA, NA, 1, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA, NA, …
## $ pa4_2 <dbl> NA, NA, NA, 2, NA, NA, NA, NA, NA, 2, NA, NA, 2, NA, NA, N…
## $ pa4_3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pa4_4 <dbl> NA, 4, NA, 4, NA, NA, 4, 4, 4, NA, NA, NA, NA, NA, NA, NA,…
## $ pb1 <dbl+lbl> 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, …
## $ pb2 <dbl> 38, 82, 50, 18, 23, 40, 44, 70, 64, 24, 30, 40, 20, 46, 38…
## $ pb3 <dbl+lbl> 3, 2, 2, 4, 3, 2, 3, 3, 2, 8, 2, 3, 1, 2, 2, 3, 8, 3, …
## $ pc1_1 <dbl> 1, NA, 1, NA, 1, NA, NA, NA, NA, 1, NA, NA, 1, 1, 1, 1, NA…
## $ pc1_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pc1_3 <dbl> NA, 3, NA, NA, NA, 3, 3, 3, 3, NA, NA, 3, NA, NA, NA, NA, …
## $ pc1_4 <dbl> NA, NA, NA, 4, NA, NA, NA, NA, NA, NA, 4, NA, NA, NA, NA, …
## $ pc2 <dbl> 1, 1, 2, NA, 1, 1, 1, 1, 1, 1, NA, 1, 1, 2, 1, 1, 1, 1, 1,…
## $ pc3 <dbl+lbl> NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, 3, NA, NA, NA…
## $ pc4 <dbl+lbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3…
## $ pc5_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pc5_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pc5_3 <dbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3, NA, …
## $ pc6 <dbl> NA, NA, 2, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 2, NA, …
## $ pc7 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pd1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pd2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pd3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pe1 <dbl> 9111, 6121, 9111, 9111, 9111, 6111, 6111, 6111, 6111, 9111…
## $ pe2 <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
## $ pe3 <dbl> 2, 5, 2, 2, 2, 5, 5, 5, 5, 1, 6, 5, 2, 2, 2, 2, 4, 5, 1, 5…
## $ pe4 <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2…
## $ pe5 <dbl> 1110, 1110, 1110, 1110, 1110, 1110, 1110, 1110, 1110, 1110…
## $ pe5_1 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pe6 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 5, 2, 1, 2, 1…
## $ pe7 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pe8 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pe9 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pe10 <dbl> 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ pe10_1 <dbl> 24, 24, NA, 12, 25, 42, 3, 45, 35, 30, 24, 25, 6, NA, 50, …
## $ pe11 <dbl> 1, 1, NA, 2, 1, 1, 2, 2, 1, 1, 2, 1, 2, NA, 1, 1, 2, 1, 1,…
## $ pe12 <dbl> NA, NA, 1, 2, NA, NA, 1, 2, NA, NA, 2, NA, 2, 1, NA, NA, 2…
## $ pe12_1 <dbl> NA, NA, 54, NA, NA, NA, 36, NA, NA, NA, NA, NA, NA, 45, NA…
## $ pe13 <dbl> NA, NA, 1, NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, 11, NA, …
## $ pe14_1 <dbl> 1, NA, 1, 1, 1, NA, NA, NA, NA, 1, NA, NA, 1, 1, 1, 1, NA,…
## $ pe14_2 <dbl> NA, 2, NA, NA, NA, 2, 2, 2, NA, NA, NA, 2, NA, NA, NA, NA,…
## $ pe14_3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3, NA, NA, NA, NA,…
## $ pe14_4 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 4, NA, NA, NA, NA, NA, NA,…
## $ pe15 <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3…
## $ pe16 <dbl> 1, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2…
## $ pe17 <dbl> NA, 7, NA, NA, NA, 7, 6, 7, 7, NA, NA, 2, NA, NA, NA, NA, …
## $ pe18 <dbl> NA, NA, NA, NA, NA, NA, 5, NA, NA, NA, NA, 3, NA, NA, NA, …
## $ pe19_1 <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 2, 3, 2, 1, 3, 3, 3, 3, 3, 1, 3…
## $ pe19_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 4, NA, NA,…
## $ pf1 <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2…
## $ pf2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_4 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_5 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf3_6 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf4_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf4_1_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf5 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf6_1 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf6_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf6_3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf6_4 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pf7 <dbl> 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 1, 1, 2, 2, 1…
## $ pf8 <dbl> 2, 2, 4, 2, 2, 2, 1, 1, 2, 2, 2, 1, 2, 4, 2, 2, 2, 2, 2, 2…
## $ pf9 <dbl> 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1,…
## $ pf10 <dbl> 2, 1, 4, 2, 4, 4, 1, 2, 4, 2, 4, 1, 2, 4, 2, 2, 2, 1, 1, 2…
## $ pf11 <dbl> 1, 2, 1, 1, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 2, 1, 2…
## $ pf12 <dbl> 2, NA, 1, 2, 2, NA, NA, NA, NA, 1, 2, NA, 2, 1, 2, 2, NA, …
## $ pf13 <dbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, 3, NA, N…
## $ pf14 <dbl> NA, NA, 3, NA, NA, NA, NA, NA, NA, 3, NA, NA, NA, 3, NA, N…
## $ pf15_1 <dbl> NA, NA, NA, NA, NA, NA, NA, 1, 1, NA, NA, NA, NA, NA, NA, …
## $ pf15_2 <dbl> NA, NA, NA, NA, NA, NA, NA, 2, NA, NA, NA, NA, NA, NA, NA,…
## $ pf15_3 <dbl> NA, 3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 3, NA, …
## $ pf15_4 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, 4, NA, NA, NA, NA, NA,…
## $ pf15_5 <dbl> 5, NA, 5, 5, 5, 5, 5, NA, NA, NA, 5, 5, 5, NA, 5, 5, 5, 5,…
## $ pf16 <dbl> 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2…
## $ pg1 <dbl> 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pg2 <dbl> 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2…
## $ pg3 <dbl> 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2…
## $ pg4_1 <dbl> NA, NA, NA, NA, NA, NA, 1, NA, NA, NA, NA, NA, NA, NA, NA,…
## $ pg4_2 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, 2, NA, NA, 2, NA, NA, NA, …
## $ pg4_3 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ pg4_4 <dbl> NA, NA, NA, NA, 4, 4, NA, NA, NA, NA, NA, NA, 4, NA, NA, N…
## $ pg5 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
## $ pg6_1 <dbl> NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, NA, NA, NA, NA, 1, 1, 1, NA…
## $ pg6_2 <dbl> 2, NA, NA, 2, 2, NA, 2, 2, NA, NA, NA, NA, NA, 2, NA, NA, …
## $ pg6_3 <dbl> NA, NA, 3, 3, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, …
## $ pg6_4 <dbl> 4, NA, 4, 4, NA, NA, NA, NA, NA, 4, NA, NA, 4, NA, NA, 4, …
## $ pg6_5 <dbl> NA, NA, NA, NA, NA, NA, 5, NA, NA, NA, 5, 5, NA, NA, NA, N…
## $ pg7_1 <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, …
## $ pg7_2 <dbl> 2, 2, NA, 2, 2, NA, 2, 2, NA, 2, NA, NA, 2, NA, NA, 2, NA,…
## $ pg7_3 <dbl> 3, 3, 3, NA, 3, NA, 3, 3, 3, 3, 3, NA, NA, 3, 3, NA, NA, 3…
## $ pg7_4 <dbl> NA, 4, NA, 4, NA, 4, 4, 4, NA, 4, NA, NA, 4, NA, NA, 4, 4,…
## $ pg7_5 <dbl> NA, 5, 5, 5, 5, NA, 5, NA, 5, 5, NA, NA, 5, 5, NA, 5, 5, 5…
## $ pg7_6 <dbl> 6, NA, 6, NA, NA, NA, 6, 6, 6, 6, NA, NA, NA, NA, 6, 6, 6,…
## $ pg7_7 <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
## $ fac_viv <dbl> 2174, 2870, 666, 7890, 5039, 576, 2632, 2312, 2154, 509, 1…
## $ fac_per <dbl> 6851, 7820, 3488, 14865, 19409, 6492, 10847, 7820, 6492, 2…
## $ clase1 <dbl> 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1…
## $ clase2 <dbl> 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1…
## $ clase3 <dbl+lbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
## $ dispob <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ raz_dis <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ pos_ocu <dbl> 1, 2, 0, 1, 1, 2, 2, 2, 2, 1, 3, 2, 1, 0, 1, 1, 2, 2, 1, 2…
## $ s_act <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1…
## $ n_tra <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 1, 5, 2, 1, 2, 1…
## $ local <dbl> 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2…
## $ h_tra_sr <dbl> 2, 2, 0, 1, 3, 4, 1, 4, 4, 3, 2, 3, 1, 0, 5, 4, 3, 2, 1, 2…
## $ a_ser_sal <dbl> 2, 2, 0, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 0, 2, 2, 2, 2, 2, 1…
## $ a_aus_t <dbl> 4, 4, 0, 4, 4, 4, 4, 4, 4, 1, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4…
## $ no_tra_hh <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ tra_men <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ tra_mas <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ tra_men35 <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ pos_ocu2 <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ s_act2 <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ n_tra2 <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0…
## $ local2 <dbl> 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0…
## $ a_ser_sal2 <dbl> 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0…
## $ per_tra <dbl> 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2…
## $ ing_dis <dbl> 2, 2, 2, 2, 1, 1, 1, 2, 1, 2, 2, 1, 1, 2, 2, 2, 2, 1, 1, 2…
## $ f_ven <dbl> 3, 3, 3, 3, 2, 2, 1, 3, 1, 3, 3, 1, 2, 3, 3, 3, 3, 2, 2, 3…
## $ inf_cov <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…glimpse(ecovid0420[,1:10]) # en corchete del lado derecho podemos ojear columnas ## Rows: 5,593
## Columns: 10
## $ per <dbl+lbl> 220, 220, 220, 220, 220, 220, 220, 220, 220, 220, 220,…
## $ ent <dbl+lbl> 24, 10, 18, 16, 21, 12, 7, 10, 12, 4, 12, 17, 11, 20…
## $ con <chr> "24E10476", "10E10586", "18E10542", "16E10239", "21E10113"…
## $ r_pre <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ r_pre_dia <dbl> 30, 30, 30, 27, 28, 30, 30, 30, 30, 28, 30, 27, 27, 30, 27…
## $ r_pre_mes <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4…
## $ r_def <dbl+lbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
## $ r_def_dia <dbl> 30, 30, 30, 27, 28, 30, 30, 30, 30, 28, 30, 27, 27, 30, 27…
## $ r_def_mes <dbl> 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4…
## $ r_def_anio <dbl> 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20…Podemos hacer un tipo “labelbook”, usando una función que viene de la librería “sjlabelled”, “get_labels”. Funciona para toda la base o para columnas, o para variables.
#print(get_labels(ecovid0420)) #todas
print(get_labels(ecovid0420[, 1:10])) #de las primeras 10 variables## $per
## [1] "Enero-Marzo" "Abril-Junio" "Julio-Septiembre"
## [4] "Octubre-Diciembre"
##
## $ent
## [1] " Aguascalientes " " Baja California "
## [3] " Baja California Sur " " Campeche "
## [5] " Coahuila " " Colima "
## [7] " Chiapas " " Chihuahua "
## [9] " Ciudad de México " " Durango "
## [11] " Guanajuato " " Guerrero "
## [13] " Hidalgo " " Jalisco "
## [15] " México " " Michoacán "
## [17] " Morelos " " Nayarit "
## [19] " Nuevo León " " Oaxaca "
## [21] " Puebla " " Querétaro "
## [23] " Quintana Roo " " San Luis Potosí "
## [25] " Sinaloa " " Sonora "
## [27] " Tabasco " " Tamaulipas "
## [29] " Tlaxcala " " Veracruz "
## [31] " Yucatán " " Zacatecas "
##
## $con
## [1] "24E10476" "10E10586" "18E10542" "16E10239" "21E10113" "12E10610"
## [7] "07E10442" "10E10340" "12E10612" "04E10166" "12E10429" "17E10188"
## [13] "11E10207" "20E10749" "07E10242" "25E10368" "26E10487" "31E10261"
## [19] "16E10198" "32E10152" "24E10266" "32E10301" "25E10212" "18E10263"
## [25] "13E10029" "18E10300" "14E10256" "21E10348" "18E10215" "07E10295"
## [31] "14E10692" "30E10422" "08E10803" "21E10136" "21E10192" "18E10804"
## [37] "27E10074" "13E10298" "06E10484" "11E10052" "31E10333" "12E10001"
## [43] "25E10241" "16E10022" "13E10142" "11E10604" "28E10267" "26E10186"
## [49] "07E10304" "25E10700" "07E10324" "16E10302" "16E10287" "18E10274"
## [55] "26E10319" "27E10167" "08E10791" "12E10169" "16E10212" "07E10706"
## [61] "18E10467" "13E10483" "17E10297" "12E10567" "06E10552" "29E10050"
## [67] "30E10038" "14E10211" "11E10425" "16E10334" "14E10687" "07E10199"
## [73] "12E10528" "12E10906" "31E10330" "29E10514" "21E10210" "12E10009"
## [79] "21E10366" "12E10115" "17E10423" "21E10241" "25E10634" "11E10161"
## [85] "21E10244" "11E10151" "13E10467" "16E10206" "18E10181" "24E10202"
## [91] "07E10525" "24E10311" "03E10023" "03E10285" "31E10063" "24E10336"
## [97] "25E10371" "03E10065" "21E10268" "16E10266" "28E10499" "06E10666"
## [103] "14E10218" "20E10483" "25E10416" "24E10123" "07E10213" "12E10437"
## [109] "18E10192" "30E10475" "14E10280" "30E10404" "31E10247" "31E10125"
## [115] "21E10173" "21E10220" "20E10292" "24E10951" "32E10249" "08E10213"
## [121] "21E10124" "07E10361" "17E10157" "25E10374" "25E10238" "13E10568"
## [127] "14E10035" "14E10307" "16E10159" "12E10827" "06E10357" "26E10166"
## [133] "12E10428" "31E10013" "13E10400" "07E10002" "14E10184" "28E10009"
## [139] "24E10131" "03E10029" "18E10128" "25E10967" "20E10803" "07E10382"
## [145] "27E10136" "20E10061" "32E10006" "04E10622" "28E10463" "14E10411"
## [151] "03E10596" "08E10530" "12E10256" "18E10373" "14E10124" "32E10072"
## [157] "29E10294" "16E10356" "04E10265" "13E10111" "18E10446" "02E10101"
## [163] "07E10352" "06E10474" "07E10507" "20E10655" "22E10325" "13E10803"
## [169] "29E10120" "12E10153" "29E10459" "08E10438" "17E10046" "12E10476"
## [175] "24E10591" "25E10019" "06E10100" "17E10268" "12E10925" "13E10490"
## [181] "25E10300" "16E10420" "08E10179" "17E10061" "02E10004" "25E10129"
## [187] "07E10445" "21E10386" "24E10138" "18E10651" "04E10123" "17E10455"
## [193] "18E10220" "25E10017" "12E10309" "12E10265" "20E10281" "04E10022"
## [199] "12E10135" "16E10504" "25E10874" "03E10089" "04E10458" "07E10670"
## [205] "12E10988" "12E10128" "21E10077" "25E10269" "21E10321" "07E10055"
## [211] "09E10032" "20E10338" "32E10534" "21E10201" "12E10415" "14E10319"
## [217] "08E10844" "21E10138" "07E10124" "14E10138" "16E10137" "24E10023"
## [223] "29E10242" "32E10145" "12E10012" "24E10036" "14E10048" "12E10207"
## [229] "19E10061" "21E10006" "30E10306" "05E10334" "18E10167" "08E10050"
## [235] "13E10396" "10E10045" "30E10631" "18E10170" "30E10698" "30E10432"
## [241] "08E10063" "27E10132" "22E10436" "12E10556" "11E10495" "31E10522"
## [247] "03E10816" "06E10365" "25E10183" "12E10089" "03E10226" "18E10710"
## [253] "18E10193" "32E10420" "01E10320" "05E10253" "28E10005" "29E10260"
## [259] "17E10313" "10E10248" "32E10329" "18E10327" "18E10661" "30E10061"
## [265] "05E10610" "05E10370" "01E10179" "14E10255" "18E10219" "32E10323"
## [271] "04E10278" "25E10253" "20E10596" "03E10030" "02E10172" "26E10178"
## [277] "20E10517" "03E10169" "13E10470" "01E10212" "05E10586" "14E10201"
## [283] "24E10834" "29E10534" "24E10050" "24E10467" "06E10187" "05E10259"
## [289] "11E10388" "10E10567" "19E10318" "32E10275" "24E10857" "28E10185"
## [295] "32E10084" "16E10228" "18E10499" "08E10377" "20E10182" "04E10057"
## [301] "13E10488" "24E10220" "24E10373" "32E10063" "14E10202" "11E10249"
## [307] "12E10845" "16E10704" "18E10036" "04E10478" "01E10499" "25E10350"
## [313] "17E10156" "25E10858" "25E10465" "10E10545" "20E10239" "18E10224"
## [319] "07E10299" "12E10370" "18E10528" "03E10092" "04E10099" "20E10060"
## [325] "18E10003" "04E10367" "18E10227" "13E10041" "27E10116" "04E10239"
## [331] "04E10209" "04E10382" "08E10485" "08E10066" "08E10057" "05E10069"
## [337] "05E10274" "32E10547" "08E10168" "03E10361" "32E10926" "26E10357"
## [343] "12E10498" "32E10951" "32E10207" "17E10138" "03E10241" "08E10862"
## [349] "03E10099" "03E10028" "03E10103" "21E10272" "10E10661" "10E10463"
## [355] "04E10336" "04E10039" "06E10625" "05E10410" "14E10470" "02E10083"
## [361] "17E10191" "17E10341" "32E10865" "02E10095" "31E10004" "25E10258"
## [367] "11E10257" "28E10122" "26E10566" "11E10323" "11E10285" "12E10268"
## [373] "15E10462" "14E10129" "15E10758" "07E10764" "14E10083" "25E10961"
## [379] "21E10258" "28E10535" "07E10761" "20E10267" "25E10015" "26E10338"
## [385] "20E10128" "01E10578" "10E10525" "01E10241" "21E10428" "19E10682"
## [391] "15E10381" "07E10164" "07E10105" "03E10194" "07E10005" "06E10211"
## [397] "23E10247" "20E10395" "32E10027" "06E10425" "03E10785" "14E10271"
## [403] "20E10379" "24E10608" "15E10936" "20E10635" "23E10119" "20E10930"
## [409] "20E10869" "08E10020" "17E10057" "25E10232" "07E10413" "23E10430"
## [415] "05E10622" "06E10116" "01E10617" "26E10476" "10E10500" "27E10443"
## [421] "16E10075" "08E10201" "22E10072" "32E10232" "31E10736" "22E10735"
## [427] "14E10045" "07E10185" "09E10240" "32E10274" "29E10389" "14E10792"
## [433] "17E10242" "15E10966" "23E10451" "18E10131" "09E10740" "25E10797"
## [439] "07E10190" "25E10265" "17E10068" "12E10763" "01E10869" "32E10312"
## [445] "18E10298" "24E10228" "24E10174" "07E10056" "31E10318" "24E10194"
## [451] "20E10622" "08E10174" "20E10688" "26E10413" "28E10174" "04E10571"
## [457] "05E10027" "13E10320" "20E10644" "20E10389" "23E10675" "09E10330"
## [463] "05E10699" "14E10713" "19E10225" "21E10104" "19E10786" "08E10710"
## [469] "09E10424" "18E10475" "21E10073" "18E10307" "32E10853" "04E10017"
## [475] "21E10491" "04E10104" "06E10502" "06E10498" "14E10157" "11E10347"
## [481] "28E10384" "18E10621" "32E10048" "24E10197" "18E10163" "31E10495"
## [487] "03E10504" "28E10121" "18E10771" "31E10788" "17E10319" "12E10479"
## [493] "14E10744" "23E10714" "04E10194" "25E10573" "31E10192" "19E10697"
## [499] "13E10025" "10E10498" "08E10723" "30E10406" "03E10237" "08E10040"
## [505] "27E10578" "19E10306" "32E10236" "09E10893" "26E10020" "09E10745"
## [511] "13E10609" "04E10512" "19E10063" "20E10856" "12E10305" "32E10108"
## [517] "14E10610" "32E10741" "02E10382" "19E10759" "12E10026" "16E10207"
## [523] "30E10498" "11E10168" "19E10286" "05E10419" "13E10699" "17E10651"
## [529] "03E10379" "23E10054" "16E10079" "05E10314" "02E10703" "21E10122"
## [535] "28E10253" "15E10189" "28E10126" "27E10015" "03E10171" "20E10473"
## [541] "31E10356" "12E10711" "22E10655" "04E10246" "20E10369" "32E10304"
## [547] "06E10174" "16E10155" "09E10587" "12E10288" "31E10064" "13E10669"
## [553] "03E10239" "10E10481" "13E10900" "30E10055" "24E10774" "30E10029"
## [559] "30E10378" "09E10834" "16E10380" "13E10778" "23E10963" "28E10322"
## [565] "10E10116" "05E10020" "31E10706" "24E10855" "25E10172" "23E10336"
## [571] "21E10120" "28E10030" "12E10462" "11E10286" "12E10635" "14E10863"
## [577] "04E10304" "21E10598" "16E10694" "16E10695" "12E10274" "30E10303"
## [583] "17E10241" "03E10084" "16E10317" "11E10087" "28E10192" "12E10144"
## [589] "31E10343" "20E10040" "16E10691" "11E10326" "21E10425" "05E10353"
## [595] "32E10352" "16E10550" "05E10687" "04E10038" "31E10186" "22E10299"
## [601] "14E10116" "30E10495" "15E10777" "32E10405" "10E10358" "24E10646"
## [607] "22E10266" "21E10730" "09E10211" "02E10449" "23E10569" "01E10094"
## [613] "31E10357" "16E10373" "15E10109" "09E10036" "16E10021" "18E10713"
## [619] "18E10005" "22E10105" "03E10380" "30E10476" "20E10940" "19E10116"
## [625] "28E10248" "23E10167" "32E10456" "25E10001" "09E10981" "10E10220"
## [631] "05E10475" "16E10275" "05E10645" "17E10142" "30E10409" "04E10661"
## [637] "15E10590" "04E10691" "31E10119" "02E10678" "05E10077" "28E10464"
## [643] "04E10408" "10E10074" "24E10077" "30E10575" "12E10527" "18E10111"
## [649] "20E10445" "13E10454" "20E10664" "01E10493" "16E10263" "07E10175"
## [655] "12E10189" "30E10481" "12E10183" "28E10461" "09E10093" "26E10375"
## [661] "14E10249" "03E10257" "27E10103" "31E10059" "17E10033" "30E10083"
## [667] "25E10956" "04E10383" "27E10055" "15E10349" "29E10171" "05E10164"
## [673] "22E10797" "08E10517" "15E10620" "32E10086" "10E10457" "03E10400"
## [679] "12E10362" "26E10601" "12E10442" "20E10262" "22E10281" "18E10304"
## [685] "02E10142" "02E10211" "12E10503" "27E10111" "26E10614" "12E10497"
## [691] "21E10115" "27E10500" "25E10115" "06E10041" "13E10862" "12E10313"
## [697] "10E10333" "18E10067" "16E10158" "29E10474" "12E10501" "29E10107"
## [703] "24E10668" "31E10127" "26E10193" "15E10217" "20E10942" "27E10483"
## [709] "01E10515" "20E10540" "20E10828" "13E10952" "32E10257" "20E10715"
## [715] "32E10023" "31E10061" "25E10069" "31E10312" "21E10159" "20E10265"
## [721] "25E10790" "29E10410" "13E10668" "08E10496" "15E10129" "12E10296"
## [727] "04E10109" "03E10402" "26E10569" "22E10415" "03E10090" "04E10184"
## [733] "11E10384" "01E10582" "09E10136" "11E10293" "04E10064" "01E10583"
## [739] "04E10251" "13E10055" "23E10367" "14E10447" "09E10165" "11E10327"
## [745] "22E10029" "32E10811" "24E10069" "32E10061" "32E10311" "20E10047"
## [751] "09E10023" "20E10041" "29E10353" "13E10234" "17E10141" "25E10477"
## [757] "15E10024" "14E10817" "19E10498" "21E10040" "14E10448" "18E10503"
## [763] "15E10502" "30E10159" "28E10720" "10E10198" "18E10652" "13E10316"
## [769] "23E10725" "25E10143" "21E10294" "21E10208" "21E10290" "17E10403"
## [775] "29E10229" "31E10092" "22E10169" "12E10266" "31E10083" "16E10071"
## [781] "31E10291" "23E10236" "31E10526" "08E10152" "12E10072" "25E10798"
## [787] "21E10005" "20E10221" "31E10022" "21E10002" "31E10299" "31E10654"
## [793] "02E10307" "31E10525" "31E10118" "31E10513" "04E10509" "15E10120"
## [799] "02E10263" "21E10088" "31E10065" "12E10033" "19E10159" "02E10605"
## [805] "14E10606" "21E10343" "05E10626" "29E10121" "12E10038" "29E10303"
## [811] "31E10099" "29E10205" "28E10070" "21E10697" "22E10194" "30E10060"
## [817] "05E10094" "31E10360" "20E10322" "02E10543" "29E10337" "17E10503"
## [823] "08E10186" "09E10425" "11E10593" "01E10349" "06E10384" "21E10516"
## [829] "01E10464" "20E10360" "05E10349" "15E10592" "31E10232" "20E10370"
## [835] "31E10286" "30E10764" "20E10172" "31E10021" "13E10784" "08E10167"
## [841] "15E10564" "17E10621" "14E10670" "11E10590" "32E10358" "09E10535"
## [847] "11E10571" "02E10682" "08E10079" "04E10058" "08E10828" "19E10429"
## [853] "02E10799" "23E10757" "30E10663" "13E10915" "11E10614" "13E10039"
## [859] "23E10098" "04E10301" "09E10816" "24E10051" "02E10658" "28E10173"
## [865] "22E10116" "28E10094" "15E10579" "09E10419" "08E10062" "14E10237"
## [871] "08E10506" "28E10131" "05E10576" "05E10166" "07E10123" "27E10458"
## [877] "15E10327" "03E10759" "31E10772" "09E10851" "15E10429" "15E10262"
## [883] "24E10276" "15E10372" "30E10059" "15E10428" "15E10212" "19E10936"
## [889] "22E10111" "24E10417" "26E10244" "14E10093" "21E10259" "24E10395"
## [895] "08E10314" "24E10280" "11E10456" "14E10963" "28E10225" "01E10221"
## [901] "08E10643" "22E10657" "22E10401" "28E10052" "28E10189" "26E10590"
## [907] "14E10145" "29E10011" "22E10091" "11E10109" "21E10103" "26E10176"
## [913] "11E10073" "32E10506" "22E10330" "17E10620" "21E10203" "05E10427"
## [919] "20E10769" "06E10671" "29E10522" "09E10904" "11E10023" "01E10057"
## [925] "19E10258" "31E10729" "24E10112" "26E10555" "05E10251" "19E10696"
## [931] "02E10880" "30E10035" "12E10214" "20E10578" "14E10993" "06E10397"
## [937] "14E10235" "09E10323" "08E10265" "16E10475" "19E10358" "32E10634"
## [943] "13E10007" "08E10120" "27E10467" "14E10092" "02E10517" "18E10010"
## [949] "31E10842" "11E10584" "23E10329" "18E10273" "10E10515" "24E10199"
## [955] "24E10674" "21E10050" "05E10160" "07E10174" "02E10494" "31E10358"
## [961] "26E10578" "20E10068" "20E10307" "24E10231" "27E10142" "32E10478"
## [967] "24E10690" "02E10340" "29E10021" "13E10757" "24E10378" "08E10033"
## [973] "01E10125" "24E10393" "24E10531" "08E10369" "08E10339" "08E10952"
## [979] "02E10388" "26E10126" "08E10379" "05E10599" "17E10258" "02E10492"
## [985] "08E10465" "26E10327" "22E10016" "02E10571" "26E10571" "01E10236"
## [991] "02E10480" "02E10801" "14E10946" "05E10680" "08E10229" "22E10954"
## [997] "22E10344" "08E10220" "32E10377" "15E10208" "14E10488" "22E10336"
## [1003] "08E10428" "19E10174" "24E10762" "08E10656" "10E10681" "05E10142"
## [1009] "21E10445" "11E10351" "08E10748" "01E10874" "17E10095" "04E10082"
## [1015] "14E10989" "05E10506" "11E10020" "08E10427" "15E10102" "22E10590"
## [1021] "28E10213" "08E10962" "22E10888" "02E10713" "22E10587" "32E10303"
## [1027] "26E10445" "05E10090" "11E10227" "05E10254" "26E10453" "24E10630"
## [1033] "22E10063" "22E10014" "05E10301" "01E10251" "22E10259" "26E10392"
## [1039] "08E10594" "11E10096" "08E10061" "24E10743" "05E10128" "05E10103"
## [1045] "01E10758" "19E10302" "05E10308" "28E10385" "21E10711" "01E10824"
## [1051] "22E10241" "25E10935" "05E10242" "25E10213" "05E10145" "24E10706"
## [1057] "08E10096" "11E10205" "14E10943" "06E10450" "18E10057" "02E10213"
## [1063] "02E10524" "31E10480" "22E10146" "26E10309" "08E10320" "05E10066"
## [1069] "08E10718" "01E10735" "14E10238" "11E10138" "11E10272" "19E10976"
## [1075] "29E10187" "05E10296" "08E10170" "32E10038" "16E10044" "08E10026"
## [1081] "16E10104" "12E10977" "25E10068" "26E10461" "31E10289" "03E10921"
## [1087] "14E10302" "24E10294" "09E10426" "14E10171" "16E10147" "32E10960"
## [1093] "06E10183" "26E10171" "32E10204" "08E10042" "09E10115" "02E10642"
## [1099] "02E10182" "12E10328" "02E10401" "02E10911" "08E10470" "20E10585"
## [1105] "15E10834" "22E10157" "29E10056" "21E10137" "30E10033" "06E10188"
## [1111] "02E10650" "32E10104" "13E10878" "02E10163" "16E10410" "21E10196"
## [1117] "31E10781" "08E10640" "13E10665" "19E10071" "20E10826" "21E10087"
## [1123] "28E10397" "24E10229" "06E10682" "18E10331" "08E10192" "18E10560"
## [1129] "25E10130" "08E10415" "12E10434" "26E10588" "01E10784" "19E10277"
## [1135] "04E10548" "28E10361" "24E10411" "19E10469" "13E10104" "26E10264"
## [1141] "29E10068" "06E10620" "25E10404" "09E10448" "05E10018" "09E10845"
## [1147] "19E10233" "11E10380" "09E10166" "20E10327" "27E10478" "09E10097"
## [1153] "13E10043" "03E10311" "08E10923" "18E10594" "17E10087" "03E10717"
## [1159] "13E10124" "09E10651" "10E10103" "20E10415" "08E10637" "30E10534"
## [1165] "31E10041" "22E10234" "14E10460" "31E10776" "12E10469" "02E10284"
## [1171] "09E10666" "08E10706" "23E10128" "06E10394" "27E10108" "11E10162"
## [1177] "18E10208" "25E10449" "08E10362" "32E10683" "11E10099" "22E10201"
## [1183] "17E10001" "24E10167" "09E10686" "15E10522" "02E10669" "01E10261"
## [1189] "17E10370" "08E10064" "10E10092" "28E10637" "04E10212" "09E10229"
## [1195] "23E10296" "24E10206" "31E10778" "31E10554" "09E10421" "14E10392"
## [1201] "02E10597" "09E10141" "25E10052" "03E10100" "04E10060" "27E10063"
## [1207] "15E10069" "09E10007" "15E10329" "13E10152" "07E10026" "31E10674"
## [1213] "07E10258" "10E10308" "16E10031" "10E10534" "09E10600" "14E10285"
## [1219] "18E10532" "14E10105" "29E10322" "31E10026" "18E10361" "18E10294"
## [1225] "06E10449" "23E10032" "10E10152" "20E10500" "09E10793" "08E10416"
## [1231] "32E10322" "09E10196" "09E10612" "16E10199" "12E10122" "04E10048"
## [1237] "32E10950" "02E10357" "24E10640" "09E10578" "24E10376" "10E10174"
## [1243] "18E10708" "08E10244" "03E10010" "15E10030" "13E10656" "04E10221"
## [1249] "10E10251" "24E10518" "20E10534" "04E10078" "10E10137" "31E10448"
## [1255] "07E10454" "14E10162" "06E10245" "18E10082" "06E10300" "21E10110"
## [1261] "14E10800" "06E10375" "15E10160" "10E10342" "01E10733" "04E10097"
## [1267] "28E10301" "11E10473" "06E10109" "20E10394" "18E10340" "11E10060"
## [1273] "14E10727" "29E10178" "30E10733" "01E10677" "12E10697" "13E10319"
## [1279] "20E10956" "16E10117" "20E10893" "20E10396" "07E10300" "08E10558"
## [1285] "12E10718" "30E10729" "28E10346" "24E10183" "19E10093" "04E10317"
## [1291] "31E10066" "12E10756" "15E10937" "01E10402" "01E10063" "16E10086"
## [1297] "09E10301" "07E10240" "23E10834" "01E10257" "09E10900" "25E10367"
## [1303] "31E10688" "24E10536" "09E10514" "26E10488" "20E10377" "26E10548"
## [1309] "24E10061" "26E10049" "30E10241" "17E10049" "06E10266" "32E10907"
## [1315] "13E10047" "30E10141" "23E10318" "20E10168" "17E10031" "19E10224"
## [1321] "10E10504" "25E10180" "25E10016" "10E10362" "06E10406" "05E10346"
## [1327] "12E10439" "14E10029" "16E10114" "23E10380" "32E10241" "05E10404"
## [1333] "10E10435" "20E10167" "27E10492" "12E10510" "18E10577" "18E10707"
## [1339] "11E10481" "12E10092" "14E10955" "07E10478" "12E10311" "15E10004"
## [1345] "05E10006" "05E10040" "04E10708" "07E10325" "10E10272" "30E10525"
## [1351] "16E10596" "32E10689" "10E10314" "28E10496" "12E10623" "29E10442"
## [1357] "32E10762" "06E10194" "24E10569" "10E10336" "29E10507" "26E10187"
## [1363] "07E10151" "25E10063" "28E10631" "14E10040" "16E10370" "14E10842"
## [1369] "32E10968" "07E10036" "13E10063" "31E10287" "25E10176" "27E10631"
## [1375] "16E10271" "17E10453" "20E10245" "12E10074" "28E10732" "25E10963"
## [1381] "07E10059" "09E10655" "13E10697" "03E10830" "27E10270" "32E10268"
## [1387] "07E10132" "28E10394" "08E10232" "21E10285" "01E10171" "29E10058"
## [1393] "07E10483" "18E10039" "27E10004" "12E10320" "32E10122" "21E10018"
## [1399] "06E10206" "24E10212" "03E10254" "31E10054" "24E10369" "17E10131"
## [1405] "13E10492" "06E10685" "22E10469" "16E10305" "03E10020" "22E10447"
## [1411] "21E10084" "17E10274" "13E10571" "11E10378" "12E10054" "25E10804"
## [1417] "01E10266" "20E10751" "12E10453" "02E10618" "16E10352" "25E10785"
## [1423] "12E10531" "03E10081" "03E10726" "25E10191" "18E10165" "13E10937"
## [1429] "24E10391" "08E10464" "25E10599" "04E10390" "27E10009" "15E10463"
## [1435] "13E10240" "25E10240" "18E10444" "20E10337" "09E10110" "19E10933"
## [1441] "05E10295" "16E10678" "25E10204" "04E10340" "22E10488" "17E10303"
## [1447] "08E10370" "15E10026" "07E10557" "26E10107" "12E10143" "27E10637"
## [1453] "19E10084" "09E10705" "24E10691" "28E10356" "03E10836" "09E10237"
## [1459] "06E10634" "13E10397" "05E10046" "31E10407" "26E10285" "13E10162"
## [1465] "16E10156" "31E10207" "32E10069" "05E10092" "22E10512" "20E10388"
## [1471] "14E10734" "19E10160" "06E10556" "08E10293" "05E10371" "04E10728"
## [1477] "09E10861" "32E10380" "32E10949" "08E10747" "27E10177" "27E10169"
## [1483] "26E10047" "24E10862" "10E10175" "32E10394" "05E10662" "14E10150"
## [1489] "18E10381" "10E10584" "06E10243" "06E10640" "28E10682" "21E10318"
## [1495] "08E10383" "07E10156" "27E10210" "14E10611" "32E10137" "24E10907"
## [1501] "14E10885" "10E10268" "32E10480" "11E10124" "15E10377" "14E10688"
## [1507] "15E10688" "08E10781" "16E10513" "11E10399" "32E10353" "27E10101"
## [1513] "23E10823" "11E10592" "15E10568" "03E10215" "07E10170" "04E10490"
## [1519] "29E10157" "31E10147" "14E10983" "20E10363" "28E10287" "20E10211"
## [1525] "03E10422" "19E10698" "01E10528" "05E10463" "12E10324" "20E10088"
## [1531] "15E10116" "20E10280" "12E10640" "25E10004" "31E10712" "08E10345"
## [1537] "23E10876" "25E11000" "22E10277" "18E10205" "08E10931" "09E10034"
## [1543] "06E10142" "32E10569" "02E10328" "20E10055" "07E10402" "10E10025"
## [1549] "25E10071" "24E10616" "24E10331" "03E10233" "16E10080" "09E10531"
## [1555] "09E10251" "04E10498" "06E10066" "08E10708" "26E10039" "18E10424"
## [1561] "21E10502" "08E10410" "31E10141" "23E10549" "13E10820" "19E10857"
## [1567] "10E10259" "29E10426" "32E10008" "19E10628" "18E10262" "16E10653"
## [1573] "01E10099" "20E10661" "21E10011" "24E10711" "03E10167" "06E10069"
## [1579] "01E10463" "25E10842" "20E10665" "15E10179" "32E10808" "05E10153"
## [1585] "14E10504" "17E10012" "15E10588" "03E10259" "30E10622" "18E10345"
## [1591] "17E10308" "26E10195" "23E10168" "02E10740" "22E10368" "28E10207"
## [1597] "06E10298" "27E10314" "19E10672" "04E10191" "09E10092" "08E10798"
## [1603] "01E10481" "12E10765" "28E10069" "16E10203" "13E10726" "05E10342"
## [1609] "31E10297" "02E10121" "24E10081" "04E10448" "14E10739" "28E10130"
## [1615] "02E10283" "22E10752" "02E10619" "02E10200" "19E10819" "13E10874"
## [1621] "18E10264" "09E10385" "15E10187" "19E10745" "20E10095" "30E10091"
## [1627] "24E10173" "14E10707" "14E10366" "24E10760" "27E10190" "24E10365"
## [1633] "13E10717" "28E10011" "02E10233" "24E10514" "28E10019" "06E10434"
## [1639] "25E10181" "13E10345" "25E10292" "08E10353" "30E10165" "18E10338"
## [1645] "05E10631" "19E10253" "02E10948" "15E10542" "15E10646" "19E10011"
## [1651] "32E10653" "20E10410" "27E10133" "28E10134" "09E10296" "10E10327"
## [1657] "32E10360" "09E10217" "19E10036" "08E10221" "16E10683" "07E10687"
## [1663] "20E10806" "18E10468" "23E10132" "05E10136" "15E10505" "14E10014"
## [1669] "15E10913" "07E10169" "04E10387" "01E10425" "19E10683" "02E10005"
## [1675] "31E10208" "18E10573" "01E10283" "09E10443" "20E10298" "25E10205"
## [1681] "17E10677" "17E10047" "04E10294" "32E10765" "22E10151" "07E10665"
## [1687] "04E10371" "29E10042" "16E10582" "13E10034" "07E10548" "04E10399"
## [1693] "15E10656" "05E10113" "01E10554" "08E10929" "22E10198" "12E10081"
## [1699] "14E10383" "18E10020" "03E10131" "20E10241" "22E10626" "20E10658"
## [1705] "13E10082" "08E10673" "22E10268" "09E10189" "16E10335" "17E10097"
## [1711] "08E10448" "22E10283" "10E10138" "03E10991" "25E10227" "01E10879"
## [1717] "24E10037" "21E10094" "23E10323" "15E10779" "32E10426" "08E10173"
## [1723] "10E10212" "28E10219" "06E10400" "16E10074" "02E10058" "25E10095"
## [1729] "02E10356" "28E10075" "08E10044" "10E10221" "14E10705" "19E10081"
## [1735] "30E10109" "12E10340" "29E10222" "10E10121" "12E10748" "29E10167"
## [1741] "05E10642" "27E10114" "31E10137" "31E10734" "08E10124" "24E10910"
## [1747] "07E10053" "03E10997" "27E10109" "27E10057" "07E10016" "04E10180"
## [1753] "25E10152" "20E10284" "26E10256" "09E10064" "11E10210" "12E10961"
## [1759] "08E10183" "30E10130" "06E10512" "31E10034" "13E10149" "08E10209"
## [1765] "24E10020" "20E10812" "03E10243" "12E10118" "12E10506" "18E10114"
## [1771] "10E10606" "07E10245" "04E10608" "07E10440" "16E10292" "06E10704"
## [1777] "07E10492" "28E10208" "27E10097" "18E10386" "24E10006" "03E10128"
## [1783] "10E10004" "14E10260" "27E10579" "17E10179" "23E10405" "20E10079"
## [1789] "22E10265" "08E10054" "16E10366" "05E10693" "29E10268" "06E10571"
## [1795] "06E10426" "08E10917" "04E10069" "06E10168" "16E10607" "15E10154"
## [1801] "19E10347" "26E10516" "07E10622" "09E10246" "25E10691" "12E11000"
## [1807] "22E10873" "02E10137" "09E10326" "30E10054" "14E10126" "25E10848"
## [1813] "28E10528" "22E10200" "24E10676" "18E10363" "02E10908" "06E10086"
## [1819] "31E10434" "19E10002" "05E10182" "28E10444" "27E10439" "20E10855"
## [1825] "16E10689" "03E10786" "01E10462" "01E10068" "28E10065" "22E10141"
## [1831] "23E10503" "05E10691" "20E10695" "19E10141" "19E10997" "01E10145"
## [1837] "14E10553" "07E10572" "29E10129" "19E10181" "30E10090" "23E10436"
## [1843] "23E10646" "16E10260" "17E10209" "30E10095" "13E10177" "17E10699"
## [1849] "15E10441" "27E10244" "08E10388" "11E10130" "11E10247" "08E10658"
## [1855] "31E10740" "20E10050" "32E10969" "23E10480" "30E10347" "15E10294"
## [1861] "12E10029" "20E10151" "23E10226" "25E10847" "04E10698" "19E10357"
## [1867] "05E10177" "31E10402" "20E10444" "13E10421" "18E10674" "07E10368"
## [1873] "09E10609" "25E10054" "02E10011" "14E10028" "02E10222" "04E10520"
## [1879] "13E10763" "05E10257" "27E10241" "07E10018" "27E10156" "04E10135"
## [1885] "03E10998" "11E10341" "20E10659" "21E10064" "14E10067" "03E10381"
## [1891] "23E10246" "20E10323" "03E10910" "04E10486" "02E10032" "19E10234"
## [1897] "02E10156" "28E10263" "31E10754" "07E10183" "14E10527" "28E10199"
## [1903] "21E10406" "26E10090" "04E10566" "14E10050" "31E10273" "03E10377"
## [1909] "08E10481" "30E10176" "27E10023" "27E10464" "16E10712" "13E10239"
## [1915] "30E10694" "16E10320" "19E10328" "04E10356" "01E10290" "22E10202"
## [1921] "02E10099" "20E10162" "09E10104" "28E10100" "17E10666" "02E10428"
## [1927] "14E10861" "28E10300" "06E10447" "32E10318" "19E10534" "09E10495"
## [1933] "19E10971" "20E10116" "07E10173" "31E10295" "15E10919" "19E10858"
## [1939] "16E10097" "08E10948" "24E10515" "03E10724" "04E10027" "19E10695"
## [1945] "22E10569" "19E10973" "32E10809" "19E10172" "03E10688" "07E10130"
## [1951] "15E10224" "04E10590" "19E10182" "20E10530" "27E10490" "20E10231"
## [1957] "11E10575" "18E10088" "32E10777" "18E10218" "06E10650" "32E10442"
## [1963] "10E10575" "18E10314" "28E10079" "31E10483" "19E10705" "31E10139"
## [1969] "01E10018" "09E10825" "09E10483" "03E10538" "11E10436" "03E10266"
## [1975] "17E10693" "16E10684" "17E10090" "06E10020" "06E10046" "03E10784"
## [1981] "03E10323" "16E10280" "01E10788" "28E10529" "25E10439" "22E10225"
## [1987] "05E10099" "20E10608" "31E10406" "31E10755" "12E10821" "03E10222"
## [1993] "03E10438" "15E10347" "23E10320" "30E10516" "06E10022" "19E10627"
## [1999] "18E10323" "10E10599" "03E10447" "02E10136" "23E10686" "18E10395"
## [2005] "09E10523" "26E10355" "04E10227" "09E10702" "19E10422" "09E10803"
## [2011] "23E10014" "03E10315" "27E10008" "14E10828" "12E10979" "26E10607"
## [2017] "13E10045" "27E10186" "31E10228" "15E10540" "14E10608" "29E10402"
## [2023] "26E10103" "04E10598" "22E10012" "12E10710" "27E10382" "15E10501"
## [2029] "13E10457" "14E10346" "31E10761" "05E10424" "09E10977" "19E10237"
## [2035] "07E10047" "23E10376" "03E10190" "10E10211" "03E10326" "05E10109"
## [2041] "09E10983" "07E10527" "14E10541" "11E10340" "23E10363" "22E10637"
## [2047] "15E10641" "13E10305" "07E10375" "24E10583" "06E10674" "12E10397"
## [2053] "09E10225" "24E10291" "04E10220" "09E10516" "04E10106" "09E10367"
## [2059] "14E10084" "12E10553" "09E10840" "15E10935" "21E10585" "23E10134"
## [2065] "15E10722" "23E10021" "26E10238" "15E10008" "17E10066" "04E10263"
## [2071] "31E10473" "08E10382" "27E10184" "09E10368" "02E10216" "17E10675"
## [2077] "13E10254" "17E10397" "04E10054" "10E10374" "05E10247" "10E10227"
## [2083] "27E10238" "26E10527" "23E10084" "15E10168" "02E10009" "19E10766"
## [2089] "08E10194" "26E10262" "16E10396" "22E10224" "23E10112" "19E10655"
## [2095] "03E10949" "09E10538" "15E10675" "14E10212" "01E10032" "18E10139"
## [2101] "26E10072" "05E10032" "09E10410" "24E10070" "23E10614" "01E10244"
## [2107] "09E10941" "29E10501" "31E10178" "17E10249" "19E10474" "09E10202"
## [2113] "11E10362" "06E10121" "29E10443" "30E10761" "06E10586" "20E10192"
## [2119] "09E10227" "29E10215" "08E10102" "20E10619" "12E10773" "17E10212"
## [2125] "03E10392" "27E10423" "04E10049" "31E10433" "07E10632" "07E10137"
## [2131] "10E10621" "11E10185" "28E10509" "25E10572" "02E10304" "09E10818"
## [2137] "03E10225" "31E10044" "21E10689" "08E10731" "03E10567" "15E10020"
## [2143] "25E10165" "09E10530" "23E10690" "22E10473" "02E10253" "31E10872"
## [2149] "23E10641" "17E10327" "32E10077" "06E10677" "13E10523" "21E10186"
## [2155] "25E10351" "22E10213" "31E10852" "17E10582" "09E10797" "26E10531"
## [2161] "22E10395" "03E10142" "32E10105" "29E10549" "27E10491" "30E10053"
## [2167] "03E10943" "09E10449" "19E10017" "25E10558" "06E10040" "28E10148"
## [2173] "05E10696" "31E10848" "06E10205" "28E10393" "22E10574" "18E10523"
## [2179] "15E10378" "19E10981" "18E10346" "23E10256" "16E10154" "19E10998"
## [2185] "06E10281" "14E10464" "04E10025" "23E10276" "24E10825" "04E10042"
## [2191] "04E10350" "11E10054" "02E10071" "31E10173" "05E10252" "30E10765"
## [2197] "16E10005" "30E10385" "09E10081" "09E10592" "04E10138" "02E10537"
## [2203] "15E10543" "01E10262" "09E10734" "10E10053" "25E10997" "15E10367"
## [2209] "30E10410" "14E10898" "21E10411" "16E10590" "20E10273" "12E10281"
## [2215] "03E10655" "19E10167" "21E10329" "01E10561" "21E10167" "18E10308"
## [2221] "24E10555" "06E10129" "19E10094" "05E10038" "17E10039" "04E10540"
## [2227] "24E10057" "10E10609" "07E10253" "32E10211" "14E10431" "12E10406"
## [2233] "01E10613" "15E10312" "30E10253" "07E10301" "18E10016" "13E10102"
## [2239] "26E10417" "20E10186" "21E10069" "02E10638" "02E10798" "20E10046"
## [2245] "03E10278" "06E10202" "08E10467" "20E10894" "30E10338" "32E10626"
## [2251] "10E10523" "03E10026" "13E10807" "31E10231" "08E10487" "20E10277"
## [2257] "03E10933" "14E10022" "13E10519" "29E10253" "25E10770" "15E10311"
## [2263] "24E10756" "13E10375" "01E10652" "08E10158" "05E10754" "05E10590"
## [2269] "17E10048" "14E10423" "10E10083" "09E10524" "27E10071" "02E10771"
## [2275] "21E10432" "24E10839" "27E10474" "27E10006" "24E10538" "21E10363"
## [2281] "10E10443" "25E10210" "04E10507" "14E10677" "20E10477" "13E10528"
## [2287] "15E10477" "16E10323" "13E10165" "16E10235" "02E10731" "14E10973"
## [2293] "15E10029" "23E10004" "23E10272" "26E10138" "32E10625" "01E10326"
## [2299] "25E10067" "03E10036" "12E10164" "18E10711" "10E10670" "31E10155"
## [2305] "25E10633" "18E10041" "20E10215" "32E10649" "20E10702" "21E10621"
## [2311] "10E10192" "10E10369" "29E10406" "13E10805" "23E10198" "32E10424"
## [2317] "14E10185" "32E10321" "01E10417" "31E10702" "32E10213" "25E10252"
## [2323] "20E10235" "17E10447" "04E10249" "06E10347" "15E10752" "28E10275"
## [2329] "01E10673" "10E10180" "21E10182" "25E10164" "15E10238" "26E10030"
## [2335] "24E10068" "29E10338" "25E10264" "15E10072" "15E10037" "03E10224"
## [2341] "07E10518" "12E10055" "13E10861" "23E10854" "04E10282" "15E10530"
## [2347] "02E10288" "15E10306" "32E10810" "07E10314" "11E10365" "19E10608"
## [2353] "11E10335" "23E10218" "19E10820" "12E10521" "23E10228" "30E10202"
## [2359] "01E10285" "04E10702" "21E10286" "03E10158" "08E10618" "15E10132"
## [2365] "32E10526" "03E10325" "25E10250" "13E10086" "27E10523" "29E10227"
## [2371] "30E10251" "14E10248" "24E10900" "19E10437" "32E10107" "01E10339"
## [2377] "03E10034" "21E10121" "14E10282" "08E10900" "29E10456" "09E10234"
## [2383] "15E10832" "24E10803" "10E10048" "14E10520" "21E10461" "01E10674"
## [2389] "24E10628" "09E10735" "27E10417" "06E10393" "05E10700" "16E10640"
## [2395] "31E10196" "09E10411" "09E10502" "13E10602" "29E10505" "04E10248"
## [2401] "31E10215" "20E10230" "17E10648" "06E10236" "04E10731" "22E10838"
## [2407] "15E10586" "02E10010" "23E10528" "03E10515" "16E10237" "02E10293"
## [2413] "21E10185" "15E10425" "31E10206" "13E10212" "09E10194" "27E10025"
## [2419] "17E10689" "17E10044" "09E10427" "32E10552" "23E10314" "09E10236"
## [2425] "18E10438" "03E10340" "12E10234" "18E10642" "14E10732" "09E10798"
## [2431] "13E10078" "19E10958" "16E10298" "29E10195" "16E10160" "29E10265"
## [2437] "32E10109" "26E10406" "20E10366" "03E10918" "16E10082" "01E10243"
## [2443] "06E10445" "01E10322" "15E10052" "12E10708" "20E10343" "11E10269"
## [2449] "03E10597" "04E10405" "14E10717" "21E10202" "31E10721" "01E10043"
## [2455] "09E10021" "32E10370" "13E10854" "18E10241" "26E10208" "08E10310"
## [2461] "25E10075" "04E10581" "22E10324" "24E10396" "12E10065" "21E10476"
## [2467] "01E10110" "12E10073" "08E10626" "14E10791" "23E10111" "28E10362"
## [2473] "28E10247" "20E10161" "19E10645" "17E10154" "29E10209" "20E10674"
## [2479] "01E10485" "24E10185" "13E10252" "09E10262" "13E10059" "12E10021"
## [2485] "20E10137" "12E10938" "03E10265" "09E10848" "02E10486" "13E10056"
## [2491] "17E10354" "18E10358" "23E10585" "21E10253" "12E10319" "04E10020"
## [2497] "30E10363" "20E10123" "19E10256" "20E10954" "32E10691" "04E10185"
## [2503] "12E10872" "15E10410" "15E10597" "10E10403" "02E10240" "07E10616"
## [2509] "20E10310" "11E10531" "09E10830" "15E10788" "21E10611" "15E10559"
## [2515] "30E10411" "07E10273" "08E10716" "06E10291" "09E10134" "03E10406"
## [2521] "15E10065" "20E10300" "10E10095" "31E10167" "20E10200" "13E10061"
## [2527] "24E10547" "06E10019" "32E10138" "09E10341" "13E10866" "15E10910"
## [2533] "24E10066" "13E10117" "23E10207" "28E10074" "19E10188" "14E10012"
## [2539] "06E10179" "14E10039" "08E10538" "20E10356" "16E10646" "19E10471"
## [2545] "18E10234" "12E10260" "02E10978" "13E10046" "13E10696" "17E10401"
## [2551] "11E10281" "13E10549" "26E10111" "23E10510" "13E10327" "15E10640"
## [2557] "09E10956" "17E10548" "07E10777" "14E10456" "32E10746" "12E10412"
## [2563] "30E10167" "14E10939" "02E10050" "22E10911" "17E10153" "25E10843"
## [2569] "28E10193" "03E10969" "27E10197" "02E10103" "23E10081" "23E10419"
## [2575] "23E10608" "05E10238" "03E10309" "03E10414" "03E10605" "23E10258"
## [2581] "03E10279" "26E10025" "23E10275" "03E10964" "24E10097" "23E10443"
## [2587] "14E10469" "14E10165" "21E10200" "18E10421" "12E10037" "23E10187"
## [2593] "26E10009" "23E10267" "23E10333" "03E10930" "15E10714" "17E10472"
## [2599] "22E10060" "02E10054" "22E10608" "25E10996" "06E10231" "31E10320"
## [2605] "15E10019" "24E10921" "10E10569" "06E10602" "19E10118" "17E10140"
## [2611] "09E10476" "31E10730" "08E10531" "05E10132" "25E10833" "18E10370"
## [2617] "11E10044" "08E10103" "06E10119" "13E10258" "32E10627" "04E10254"
## [2623] "03E10002" "02E10434" "02E10754" "16E10399" "20E10818" "08E10699"
## [2629] "25E10949" "28E10355" "25E10295" "24E10148" "19E10480" "05E10300"
## [2635] "22E10127" "05E10452" "21E10074" "21E10526" "22E10806" "03E10777"
## [2641] "04E10300" "05E10416" "13E10217" "12E10389" "04E10075" "03E10113"
## [2647] "18E10403" "18E10342" "15E10455" "20E10195" "07E10219" "14E10944"
## [2653] "32E10233" "16E10447" "11E10435" "19E10614" "14E10387" "14E10246"
## [2659] "05E10120" "24E10827" "16E10491" "12E10360" "15E10131" "06E10153"
## [2665] "02E10692" "15E10582" "04E10402" "20E10931" "13E10410" "12E10252"
## [2671] "15E10082" "20E10102" "11E10324" "28E10117" "07E10167" "28E10088"
## [2677] "16E10333" "20E10782" "32E10934" "04E10325" "25E10732" "11E10198"
## [2683] "13E10214" "14E10681" "07E10251" "15E10255" "15E10122" "01E10153"
## [2689] "20E10508" "11E10282" "10E10299" "14E10263" "09E10255" "20E10443"
## [2695] "16E10377" "18E10214" "14E10373" "08E10284" "04E10446" "20E10303"
## [2701] "20E10316" "26E10260" "18E10145" "31E10494" "12E10231" "13E10468"
## [2707] "31E10015" "06E10493" "13E10794" "29E10233" "17E10060" "26E10066"
## [2713] "30E10423" "17E10399" "03E10232" "13E10247" "15E10584" "32E10836"
## [2719] "16E10061" "25E10811" "24E10781" "02E10031" "15E10557" "01E10859"
## [2725] "27E10007" "12E10333" "02E10294" "11E10510" "12E10345" "21E10004"
## [2731] "13E10021" "17E10410" "24E10031" "31E10442" "28E10587" "03E10409"
## [2737] "04E10018" "22E10385" "19E10303" "14E10043" "04E10404" "27E10102"
## [2743] "28E10154" "11E10079" "18E10422" "32E10212" "27E10610" "20E10294"
## [2749] "23E10065" "25E10168" "04E10430" "32E10319" "08E10552" "04E10210"
## [2755] "13E10129" "28E10351" "03E10318" "30E10683" "04E10189" "11E10521"
## [2761] "18E10434" "05E10039" "27E10170" "05E10350" "14E10207" "18E10561"
## [2767] "06E10606" "18E10418" "31E10857" "14E10167" "11E10363" "27E10122"
## [2773] "11E10256" "21E10204" "22E10841" "09E10340" "18E10240" "21E10016"
## [2779] "16E10560" "14E10079" "24E10124" "32E10959" "28E10359" "07E10646"
## [2785] "01E10292" "31E10710" "14E10172" "18E10209" "26E10490" "17E10190"
## [2791] "30E10732" "16E10148" "14E10359" "15E10068" "24E10084" "26E10276"
## [2797] "32E10434" "06E10706" "14E10583" "03E10756" "17E10742" "04E10333"
## [2803] "30E10211" "06E10371" "14E10368" "06E10673" "22E10347" "02E10349"
## [2809] "20E10913" "30E10639" "11E10053" "18E10486" "03E10046" "06E10140"
## [2815] "26E10394" "12E10182" "08E10849" "12E10045" "20E10154" "06E10123"
## [2821] "06E10137" "26E10179" "03E10040" "32E10265" "07E10464" "21E10112"
## [2827] "29E10244" "16E10068" "12E10096" "17E10023" "17E10366" "32E10067"
## [2833] "03E10260" "20E10611" "20E10139" "09E10275" "32E10314" "15E10136"
## [2839] "06E10045" "17E10197" "28E10109" "21E10024" "07E10029" "10E10235"
## [2845] "28E10110" "02E10720" "18E10526" "09E10047" "12E10155" "17E10171"
## [2851] "03E10269" "31E10475" "30E10043" "27E10390" "27E10310" "05E10147"
## [2857] "05E10228" "24E10451" "25E10122" "08E10092" "15E10309" "13E10462"
## [2863] "19E10065" "18E10540" "25E10947" "08E10713" "02E10223" "32E10868"
## [2869] "09E10526" "06E10163" "03E10038" "32E10021" "21E10319" "17E10218"
## [2875] "22E10506" "31E10157" "05E10101" "16E10720" "13E10597" "25E10318"
## [2881] "15E10297" "31E10259" "04E10492" "26E10277" "11E10457" "08E10724"
## [2887] "03E10198" "09E10608" "12E10318" "28E10058" "07E10020" "26E10427"
## [2893] "13E10147" "02E10675" "04E10121" "17E10475" "29E10235" "15E10698"
## [2899] "21E10188" "32E10641" "19E10323" "25E10011" "20E10034" "30E10384"
## [2905] "25E10275" "15E10447" "19E10896" "18E10508" "23E10030" "15E10356"
## [2911] "21E10212" "21E10270" "27E10319" "21E10160" "32E10198" "24E10011"
## [2917] "22E10706" "30E10219" "17E10005" "18E10180" "04E10141" "28E10342"
## [2923] "10E10002" "06E10102" "03E10637" "20E10359" "25E10251" "22E10391"
## [2929] "12E10278" "20E10452" "11E10110" "29E10494" "03E10849" "12E10355"
## [2935] "03E10825" "18E10505" "02E10502" "30E10252" "31E10319" "04E10508"
## [2941] "28E10333" "03E10119" "25E10615" "18E10601" "26E10239" "13E10627"
## [2947] "29E10329" "12E10764" "29E10225" "11E10019" "10E10641" "27E10237"
## [2953] "03E10063" "18E10093" "29E10085" "23E10253" "02E10437" "12E10549"
## [2959] "23E10201" "25E10333" "28E10602" "03E10834" "13E10818" "06E10021"
## [2965] "06E10343" "24E10018" "18E10079" "25E10061" "15E10604" "03E10255"
## [2971] "27E10125" "04E10028" "02E10506" "13E10050" "17E10469" "28E10380"
## [2977] "26E10515" "03E10851" "26E10542" "32E10822" "14E10760" "18E10249"
## [2983] "32E10985" "06E10193" "02E10516" "09E10857" "17E10639" "25E10445"
## [2989] "06E10507" "30E10297" "16E10245" "26E10253" "13E10981" "01E10258"
## [2995] "08E10235" "23E10454" "13E10434" "23E10118" "32E10245" "17E10238"
## [3001] "20E10790" "29E10339" "17E10169" "19E10377" "02E10659" "32E10235"
## [3007] "04E10238" "04E10710" "17E10740" "04E10569" "32E10009" "23E10044"
## [3013] "04E10291" "03E10242" "15E10667" "08E10922" "08E10169" "18E10435"
## [3019] "17E10461" "18E10729" "02E10075" "17E10181" "02E10167" "12E10452"
## [3025] "15E10513" "08E10355" "17E10041" "26E10286" "06E10111" "15E10023"
## [3031] "07E10736" "10E10021" "07E10215" "09E10595" "08E10926" "11E10196"
## [3037] "04E10063" "12E10401" "04E10326" "08E10755" "06E10381" "20E10650"
## [3043] "30E10131" "08E10380" "32E10575" "04E10004" "31E10607" "13E10130"
## [3049] "25E10458" "15E10578" "08E10950" "24E10696" "20E10271" "24E10142"
## [3055] "21E10168" "01E10782" "26E10545" "13E10163" "04E10030" "30E10673"
## [3061] "16E10024" "18E10492" "20E10191" "17E10168" "09E10488" "28E10711"
## [3067] "08E10338" "20E10190" "09E10288" "30E10047" "27E10104" "20E10166"
## [3073] "13E10386" "27E10611" "10E10022" "18E10254" "32E10933" "15E10395"
## [3079] "03E10865" "15E10113" "19E10255" "31E10019" "10E10281" "09E10572"
## [3085] "28E10304" "13E10096" "18E10291" "17E10042" "04E10114" "24E10624"
## [3091] "15E10270" "09E10568" "10E10279" "08E10393" "10E10520" "29E10127"
## [3097] "21E10532" "17E10027" "27E10192" "24E10207" "02E10510" "14E10081"
## [3103] "09E10114" "02E10189" "06E10653" "15E10943" "04E10384" "27E10171"
## [3109] "20E10393" "13E10389" "08E10142" "20E10457" "14E10493" "08E10145"
## [3115] "12E10555" "24E10804" "17E10273" "13E10135" "15E10134" "09E10991"
## [3121] "03E10152" "13E10197" "12E10466" "07E10145" "13E10394" "13E10073"
## [3127] "13E10907" "26E10421" "03E10202" "08E10591" "18E10426" "11E10464"
## [3133] "26E10196" "30E10207" "31E10868" "29E10023" "20E10382" "26E10382"
## [3139] "07E10147" "15E10348" "24E10198" "07E10621" "20E10138" "12E10035"
## [3145] "23E10148" "24E10427" "20E10713" "26E10254" "24E10847" "07E10326"
## [3151] "13E10357" "11E10289" "22E10689" "11E10192" "31E10313" "32E10363"
## [3157] "23E10250" "30E10750" "04E10322" "27E10603" "21E10234" "03E10554"
## [3163] "04E10621" "13E10270" "02E10706" "25E10207" "09E10013" "24E10918"
## [3169] "15E10046" "24E10091" "09E10743" "30E10203" "07E10100" "32E10328"
## [3175] "19E10297" "20E10124" "20E10378" "13E10439" "23E10087" "02E10594"
## [3181] "03E10847" "01E10461" "19E10760" "23E10432" "30E10236" "01E10353"
## [3187] "12E10243" "09E10212" "08E10187" "12E10468" "08E10279" "02E10212"
## [3193] "19E10940" "27E10233" "03E10463" "02E10113" "18E10761" "13E10072"
## [3199] "05E10011" "03E10287" "15E10911" "13E10226" "20E10717" "09E10532"
## [3205] "22E10223" "31E10390" "15E10246" "23E10076" "24E10245" "12E10221"
## [3211] "09E10243" "26E10071" "27E10593" "23E10015" "26E10358" "20E10663"
## [3217] "22E10032" "26E10574" "23E10010" "08E10437" "23E10209" "20E10758"
## [3223] "17E10115" "06E10639" "27E10185" "14E10621" "07E10465" "22E10025"
## [3229] "06E10688" "31E10242" "17E10159" "25E10695" "29E10330" "24E10776"
## [3235] "12E10631" "25E10969" "32E10125" "15E10632" "31E10530" "04E10299"
## [3241] "32E10330" "23E10038" "07E10457" "32E10763" "23E10179" "07E10303"
## [3247] "31E10468" "20E10835" "30E10429" "10E10663" "12E10052" "23E10140"
## [3253] "31E10672" "20E10907" "23E10299" "06E10143" "18E10742" "22E10078"
## [3259] "31E10114" "15E10562" "29E10110" "09E10916" "22E10313" "32E10549"
## [3265] "10E10064" "24E10662" "13E10312" "24E10773" "16E10241" "02E10670"
## [3271] "14E10434" "15E10044" "12E10430" "30E10620" "18E10585" "20E10011"
## [3277] "11E10268" "12E10390" "13E10289" "31E10378" "22E10874" "24E10533"
## [3283] "03E10484" "18E10198" "31E10394" "26E10157" "01E10875" "31E10221"
## [3289] "09E10704" "13E10317" "27E10205" "01E10620" "05E10632" "29E10539"
## [3295] "12E10232" "17E10733" "06E10104" "03E10199" "20E10464" "31E10025"
## [3301] "04E10226" "31E10152" "27E10091" "07E10120" "31E10198" "29E10035"
## [3307] "08E10119" "10E10089" "25E10084" "08E10763" "09E10388" "20E10498"
## [3313] "10E10243" "32E10505" "27E10263" "24E10484" "16E10507" "25E10598"
## [3319] "25E10087" "23E10232" "09E10648" "12E10346" "02E10242" "07E10200"
## [3325] "07E10230" "09E10727" "29E10109" "30E10359" "21E10292" "03E10586"
## [3331] "02E10535" "16E10279" "26E10051" "24E10874" "24E10679" "09E10450"
## [3337] "19E10228" "04E10150" "03E10193" "26E10121" "19E10183" "19E10281"
## [3343] "02E10614" "19E10365" "24E10230" "02E10865" "05E10048" "17E10355"
## [3349] "32E10371" "29E10103" "29E10248" "16E10549" "28E10374" "19E10648"
## [3355] "01E10540" "27E10348" "31E10361" "03E10153" "07E10364" "03E10647"
## [3361] "27E10296" "32E10571" "13E10739" "23E10875" "03E10615" "07E10141"
## [3367] "03E10375" "07E10394" "19E10291" "12E10921" "07E10106" "14E10253"
## [3373] "22E10086" "08E10008" "12E10298" "32E10146" "03E10076" "12E10310"
## [3379] "20E10908" "20E10285" "14E10719" "14E10829" "29E10375" "15E10108"
## [3385] "05E10675" "25E10297" "12E10136" "32E10724" "14E10146" "03E10218"
## [3391] "07E10131" "21E10426" "17E10178" "21E10448" "18E10624" "06E10005"
## [3397] "22E10188" "25E10462" "12E10289" "09E10232" "14E10596" "15E10263"
## [3403] "22E10537" "08E10854" "01E10360" "02E10711" "31E10160" "10E10594"
## [3409] "30E10135" "02E10146" "06E10619" "26E10537" "02E10969" "01E10513"
## [3415] "31E10112" "30E10171" "30E10557" "29E10135" "22E10009" "05E10302"
## [3421] "13E10116" "12E10404" "03E10312" "15E10888" "17E10365" "24E10293"
## [3427] "25E10428" "12E10903" "07E10758" "02E10033" "08E10474" "03E10994"
## [3433] "03E10566" "15E10797" "20E10049" "19E10322" "20E10420" "09E10638"
## [3439] "01E10014" "28E10186" "30E10331" "20E10140" "04E10576" "19E10932"
## [3445] "27E10441" "10E10349" "10E10509" "20E10567" "14E10543" "31E10586"
## [3451] "25E10254" "31E10076" "17E10367" "03E10118" "26E10425" "27E10026"
## [3457] "13E10251" "15E10523" "10E10080" "30E10695" "06E10452" "09E10297"
## [3463] "20E10614" "28E10673" "01E10341" "30E10239" "31E10766" "28E10423"
## [3469] "30E10515" "19E10563" "21E10705" "31E10332" "13E10920" "27E10010"
## [3475] "10E10118" "12E10091" "29E10228" "04E10245" "17E10122" "26E10058"
## [3481] "03E10343" "08E10633" "01E10028" "26E10434" "16E10296" "22E10148"
## [3487] "14E10982" "07E10265" "29E10305" "21E10143" "18E10146" "15E10290"
## [3493] "32E10305" "15E10086" "12E10996" "18E10728" "26E10048" "32E10490"
## [3499] "14E10356" "02E10214" "13E10592" "19E10096" "31E10597" "13E10745"
## [3505] "21E10340" "32E10620" "03E10686" "25E10313" "04E10389" "08E10030"
## [3511] "04E10218" "17E10568" "31E10272" "21E10323" "12E10651" "32E10573"
## [3517] "14E10432" "24E10375" "19E10015" "03E10383" "09E10140" "14E10743"
## [3523] "26E10173" "31E10284" "12E10263" "04E10247" "03E10208" "07E10194"
## [3529] "22E10274" "02E10348" "14E10914" "27E10496" "32E10057" "18E10019"
## [3535] "17E10089" "13E10594" "21E10017" "11E10119" "25E10157" "09E10083"
## [3541] "25E10734" "10E10505" "30E10286" "30E10713" "06E10462" "25E10446"
## [3547] "22E10717" "32E10135" "13E10574" "18E10226" "09E10030" "19E10178"
## [3553] "16E10580" "23E10433" "20E10491" "19E10266" "32E10726" "08E10371"
## [3559] "28E10624" "23E10229" "24E10121" "04E10444" "25E10698" "03E10428"
## [3565] "30E10115" "06E10048" "21E10207" "08E10733" "13E10246" "20E10097"
## [3571] "29E10298" "16E10568" "03E10345" "11E10333" "32E10205" "03E10420"
## [3577] "11E10482" "23E10357" "19E10535" "17E10098" "17E10149" "30E10471"
## [3583] "20E10092" "22E10204" "24E10219" "17E10184" "20E10704" "11E10190"
## [3589] "14E10603" "09E10562" "10E10321" "09E10972" "29E10263" "18E10206"
## [3595] "02E10022" "09E10179" "01E10834" "03E10352" "31E10686" "19E10054"
## [3601] "18E10665" "12E10381" "14E10860" "13E10048" "29E10251" "27E10602"
## [3607] "18E10103" "15E10740" "29E10545" "27E10214" "21E10418" "03E10115"
## [3613] "27E10182" "16E10418" "06E10235" "02E10322" "21E10279" "16E10019"
## [3619] "31E10109" "25E10663" "20E10358" "01E10227" "04E10734" "29E10328"
## [3625] "03E10386" "22E10227" "07E10332" "32E10772" "20E10001" "28E10309"
## [3631] "27E10188" "29E10237" "17E10263" "15E10498" "15E10317" "28E10506"
## [3637] "01E10404" "18E10390" "19E10045" "20E10141" "10E10388" "25E10514"
## [3643] "14E10402" "05E10025" "23E10046" "32E10441" "30E10181" "01E10745"
## [3649] "21E10075" "05E10409" "25E10006" "30E10619" "13E10204" "06E10689"
## [3655] "13E10105" "23E10037" "04E10118" "19E10285" "08E10240" "23E10640"
## [3661] "29E10189" "30E10408" "23E10836" "31E10676" "03E10932" "08E10680"
## [3667] "26E10539" "10E10559" "07E10205" "22E10292" "25E10190" "20E10636"
## [3673] "03E10097" "10E10014" "22E10716" "29E10210" "23E10340" "09E10924"
## [3679] "25E10072" "16E10364" "13E10997" "25E10517" "16E10047" "32E10279"
## [3685] "21E10070" "15E10906" "17E10136" "21E10537" "23E10079" "11E10242"
## [3691] "25E10131" "22E10115" "11E10025" "28E10018" "15E10506" "11E10352"
## [3697] "03E10989" "08E10333" "15E10420" "06E10186" "15E10898" "03E10314"
## [3703] "03E10812" "14E10072" "14E10399" "30E10570" "26E10250" "31E10280"
## [3709] "32E10171" "19E10390" "13E10314" "18E10071" "17E10686" "20E10456"
## [3715] "10E10434" "04E10312" "18E10348" "01E10041" "03E10415" "08E10811"
## [3721] "08E10695" "09E10075" "10E10056" "02E10252" "15E10955" "24E10985"
## [3727] "31E10205" "32E10248" "15E10039" "08E10657" "12E10036" "15E10252"
## [3733] "20E10623" "18E10703" "03E10454" "27E10045" "03E10229" "10E10651"
## [3739] "14E10284" "14E10766" "32E10821" "31E10334" "14E10990" "03E10542"
## [3745] "03E10575" "01E10169" "25E10356" "14E10108" "12E10733" "11E10479"
## [3751] "28E10427" "32E10223" "18E10084" "24E10035" "24E10046" "11E10270"
## [3757] "14E10037" "01E10061" "29E10142" "19E10329" "28E10702" "08E10317"
## [3763] "17E10219" "27E10095" "07E10157" "24E10285" "01E10138" "22E10503"
## [3769] "22E10887" "01E10779" "06E10130" "23E10409" "23E10591" "20E10305"
## [3775] "25E10697" "05E10189" "23E10086" "16E10244" "08E10864" "28E10111"
## [3781] "17E10083" "06E10037" "20E10648" "15E10388" "16E10433" "16E10599"
## [3787] "11E10158" "13E10914" "25E10089" "13E10362" "10E10547" "12E10472"
## [3793] "08E10405" "22E10061" "12E10546" "12E10636" "15E10178" "07E10443"
## [3799] "11E10153" "27E10085" "07E10497" "19E10273" "17E10737" "05E10433"
## [3805] "02E10871" "31E10311" "05E10028" "22E10306" "15E10148" "31E10342"
## [3811] "09E10186" "14E10809" "18E10017" "15E10119" "24E10746" "32E10757"
## [3817] "24E10403" "10E10598" "15E10484" "29E10169" "05E10129" "30E10499"
## [3823] "32E10382" "30E10128" "01E10547" "04E10222" "32E10698" "14E10515"
## [3829] "22E10244" "20E10526" "31E10389" "14E10210" "24E10214" "29E10188"
## [3835] "21E10079" "22E10377" "14E10095" "27E10614" "03E10385" "15E10674"
## [3841] "12E10912" "02E10782" "21E10181" "06E10260" "12E10264" "05E10188"
## [3847] "18E10106" "26E10221" "29E10342" "30E10094" "01E10015" "29E10299"
## [3853] "23E10391" "23E10055" "26E10400" "11E10401" "14E10618" "10E10290"
## [3859] "30E10216" "05E10019" "07E10153" "31E10039" "10E10510" "25E10926"
## [3865] "31E10393" "22E10150" "09E10574" "09E10623" "11E10296" "07E10321"
## [3871] "08E10053" "04E10003" "06E10149" "27E10021" "07E10404" "20E10522"
## [3877] "27E10599" "11E10398" "28E10688" "13E10113" "28E10426" "07E10694"
## [3883] "25E10123" "31E10007" "25E10415" "32E10734" "16E10187" "32E10293"
## [3889] "30E10119" "16E10045" "05E10359" "32E10132" "15E10268" "26E10054"
## [3895] "22E10418" "31E10794" "07E10166" "08E10267" "05E10201" "18E10466"
## [3901] "15E10594" "32E10799" "31E10715" "12E10206" "06E10139" "32E10661"
## [3907] "30E10449" "17E10499" "15E10199" "20E10580" "09E10723" "12E10327"
## [3913] "08E10693" "03E10283" "30E10477" "17E10127" "12E10371" "29E10084"
## [3919] "16E10572" "24E10366" "25E10316" "17E10246" "20E10824" "26E10371"
## [3925] "19E10060" "04E10244" "28E10712" "32E10361" "24E10573" "05E10352"
## [3931] "32E10747" "12E10010" "18E10368" "15E10570" "32E10444" "03E10376"
## [3937] "17E10175" "17E10239" "09E10457" "12E10835" "02E10892" "05E10161"
## [3943] "11E10267" "08E10097" "15E10945" "23E10397" "18E10210" "31E10136"
## [3949] "32E10141" "20E10107" "29E10153" "03E10033" "03E10408" "27E10430"
## [3955] "15E10628" "24E10171" "29E10193" "19E10549" "16E10551" "29E10174"
## [3961] "03E10491" "04E10136" "06E10332" "10E10043" "18E10025" "19E10230"
## [3967] "17E10480" "01E10102" "16E10121" "16E10018" "22E10074" "09E10653"
## [3973] "25E10315" "24E10208" "31E10159" "20E10542" "16E10345" "13E10911"
## [3979] "11E10237" "07E10060" "23E10059" "32E10012" "24E10908" "06E10165"
## [3985] "18E10281" "17E10444" "32E10185" "11E10299" "01E10832" "24E10371"
## [3991] "14E10839" "13E10363" "32E10267" "09E10862" "19E10880" "08E10160"
## [3997] "08E10048" "32E10681" "20E10181" "01E10659" "20E10212" "03E10608"
## [4003] "24E10492" "30E10028" "31E10014" "10E10573" "14E10640" "06E10242"
## [4009] "17E10130" "18E10124" "14E10363" "11E10135" "02E10194" "23E10562"
## [4015] "01E10012" "03E10833" "29E10446" "16E10281" "05E10501" "03E10332"
## [4021] "19E10800" "31E10685" "03E10055" "05E10343" "31E10863" "32E10130"
## [4027] "15E10767" "19E10076" "18E10055" "30E10039" "24E10670" "20E10750"
## [4033] "25E10339" "14E10658" "32E10623" "27E10042" "06E10623" "22E10163"
## [4039] "09E10604" "24E10399" "16E10464" "30E10746" "22E10933" "11E10408"
## [4045] "17E10187" "30E10345" "02E10776" "21E10524" "27E10357" "30E10403"
## [4051] "09E10230" "24E10374" "11E10357" "26E10175" "07E10732" "15E10947"
## [4057] "06E10248" "31E10765" "04E10156" "08E10159" "09E10052" "22E10930"
## [4063] "28E10375" "29E10241" "09E10349" "03E10846" "01E10040" "14E10945"
## [4069] "01E10526" "02E10116" "16E10425" "32E10260" "30E10717" "21E10068"
## [4075] "13E10295" "17E10269" "08E10850" "26E10320" "06E10209" "28E10456"
## [4081] "18E10483" "03E10826" "04E10727" "10E10548" "14E10156" "15E10103"
## [4087] "13E10942" "11E10101" "19E10044" "08E10022" "08E10592" "15E10279"
## [4093] "10E10634" "05E10701" "32E10583" "21E10066" "12E10005" "13E10811"
## [4099] "29E10032" "04E10701" "14E10401" "13E10719" "32E10917" "20E10921"
## [4105] "23E10330" "10E10261" "19E10415" "08E10087" "20E10607" "31E10537"
## [4111] "09E10242" "06E10136" "15E10533" "23E10790" "19E10208" "03E10924"
## [4117] "11E10106" "15E10426" "01E10177" "05E10740" "27E10030" "17E10183"
## [4123] "31E10569" "13E10343" "08E10413" "17E10599" "30E10747" "14E10273"
## [4129] "26E10312" "04E10407" "27E10529" "27E10054" "17E10125" "32E10089"
## [4135] "32E10217" "29E10278" "19E10496" "03E10195" "05E10714" "20E10127"
## [4141] "06E10533" "30E10200" "02E10044" "09E10497" "01E10259" "06E10223"
## [4147] "20E10017" "08E10878" "17E10502" "22E10002" "23E10461" "05E10657"
## [4153] "14E10540" "26E10414" "32E10643" "19E10069" "04E10230" "23E10120"
## [4159] "24E10283" "32E10751" "27E10408" "32E10025" "18E10179" "12E10050"
## [4165] "26E10416" "18E10085" "07E10090" "17E10037" "17E10669" "06E10466"
## [4171] "19E10074" "23E10484" "15E10669" "07E10339" "15E10128" "15E10365"
## [4177] "05E10041" "07E10717" "08E10387" "09E10106" "32E10748" "17E10225"
## [4183] "10E10367" "14E10063" "21E10353" "01E10151" "32E10947" "10E10399"
## [4189] "19E10398" "08E10709" "10E10029" "14E10422" "07E10399" "21E10199"
## [4195] "03E10074" "10E10456" "08E10528" "09E10031" "10E10085" "20E10214"
## [4201] "12E10597" "21E10169" "19E10018" "25E10036" "07E10448" "11E10195"
## [4207] "09E10859" "24E10478" "01E10729" "21E10128" "18E10501" "14E10437"
## [4213] "12E10179" "16E10324" "08E10241" "25E10889" "25E10279" "03E10534"
## [4219] "28E10417" "02E10157" "12E10409" "25E10050" "01E10576" "03E10474"
## [4225] "13E10438" "27E10397" "23E10885" "12E10616" "03E10776" "23E10800"
## [4231] "31E10240" "13E10538" "02E10150" "04E10288" "02E10159" "14E10991"
## [4237] "08E10228" "04E10052" "23E10053" "19E10270" "01E10545" "01E10002"
## [4243] "28E10230" "16E10628" "02E10755" "30E10652" "09E10048" "20E10033"
## [4249] "20E10576" "10E10646" "04E10365" "01E10529" "24E10842" "32E10383"
## [4255] "28E10142" "01E10661" "19E10010" "06E10147" "10E10124" "24E10710"
## [4261] "02E10956" "06E10277" "26E10124" "27E10254" "19E10109" "05E10244"
## [4267] "04E10129" "28E10147" "32E10596" "04E10122" "01E10724" "03E10639"
## [4273] "25E10042" "31E10202" "01E10370" "10E10578" "12E10134" "15E10406"
## [4279] "09E10642" "14E10789" "20E10275" "01E10056" "32E10493" "28E10269"
## [4285] "17E10328" "09E10238" "03E10390" "19E10043" "20E10311" "32E10391"
## [4291] "24E10562" "03E10227" "11E10577" "25E10162" "13E10825" "31E10587"
## [4297] "17E10257" "04E10551" "23E10026" "17E10667" "13E10795" "08E10647"
## [4303] "32E10419" "31E10104" "25E10039" "09E10320" "05E10126" "03E10313"
## [4309] "30E10523" "05E10617" "23E10001" "13E10722" "32E10117" "15E10948"
## [4315] "06E10473" "13E10733" "11E10211" "09E10247" "18E10047" "21E10704"
## [4321] "15E10100" "09E10101" "30E10067" "24E10428" "13E10332" "08E10726"
## [4327] "14E10245" "29E10194" "09E10161" "32E10227" "17E10592" "05E10248"
## [4333] "32E10893" "05E10644" "04E10101" "30E10456" "03E10297" "23E10364"
## [4339] "27E10373" "10E10038" "29E10158" "32E10143" "10E10032" "32E10675"
## [4345] "09E10207" "05E10033" "20E10791" "25E10355" "11E10026" "25E10610"
## [4351] "13E10381" "28E10422" "18E10427" "16E10273" "08E10573" "25E10059"
## [4357] "24E10019" "25E10044" "16E10262" "09E10259" "10E10470" "30E10089"
## [4363] "15E10059" "31E10591" "15E10454" "15E10917" "15E10226" "05E10047"
## [4369] "22E10311" "15E10488" "07E10207" "12E10645" "17E10483" "20E10058"
## [4375] "14E10894" "15E10944" "03E10083" "14E10159" "10E10035" "32E10097"
## [4381] "25E10226" "31E10303" "32E10331" "20E10313" "27E10211" "05E10205"
## [4387] "15E10934" "07E10710" "21E10305" "07E10401" "07E10276" "32E10888"
## [4393] "06E10322" "07E10641" "16E10365" "01E10228" "13E10008" "23E10131"
## [4399] "07E10268" "14E10627" "23E10541" "19E10808" "14E10768" "11E10230"
## [4405] "30E10204" "22E10312" "05E10206" "08E10025" "31E10856" "31E10031"
## [4411] "17E10088" "19E10120" "23E10291" "18E10222" "28E10604" "01E10036"
## [4417] "15E10581" "16E10501" "23E10351" "06E10486" "30E10082" "03E10752"
## [4423] "02E10131" "06E10189" "32E10608" "28E10389" "17E10114" "09E10683"
## [4429] "32E10572" "24E10890" "26E10183" "12E10102" "32E10076" "13E10019"
## [4435] "19E10884" "15E10580" "23E10090" "24E10486" "14E10098" "20E10126"
## [4441] "09E10277" "03E10488" "16E10542" "32E10983" "08E10184" "23E10123"
## [4447] "26E10023" "20E10643" "01E10005" "23E10029" "05E10569" "06E10549"
## [4453] "08E10032" "13E10280" "20E10286" "13E10014" "03E10371" "10E10381"
## [4459] "15E10081" "15E10090" "02E10951" "19E10470" "09E10640" "10E10171"
## [4465] "23E10544" "10E10266" "29E10400" "01E10790" "20E10795" "15E10171"
## [4471] "18E10645" "21E10297" "25E10915" "09E10602" "18E10271" "11E10157"
## [4477] "08E10161" "30E10668" "32E10343" "10E10099" "25E10399" "27E10014"
## [4483] "09E10586" "32E10036" "08E10667" "14E10925" "18E10074" "04E10199"
## [4489] "20E10537" "23E10387" "14E10880" "23E10629" "26E10297" "15E10823"
## [4495] "32E10615" "20E10059" "05E10135" "32E10568" "21E10217" "28E10277"
## [4501] "07E10160" "15E10996" "30E10187" "27E10016" "08E10180" "19E10562"
## [4507] "10E10114" "06E10662" "09E10617" "31E10090" "19E10212" "32E10537"
## [4513] "14E10073" "08E10915" "04E10092" "23E10832" "09E10613" "04E10437"
## [4519] "10E10100" "11E10301" "08E10198" "13E10274" "03E10221" "19E10680"
## [4525] "19E10105" "27E10598" "24E10957" "07E10284" "08E10315" "08E10601"
## [4531] "30E10123" "06E10042" "09E10860" "17E10597" "18E10727" "03E10245"
## [4537] "07E10629" "02E10104" "28E10017" "24E10200" "09E10766" "25E10972"
## [4543] "25E10391" "22E10094" "28E10649" "13E10442" "07E10366" "14E10600"
## [4549] "06E10515" "09E10599" "21E10393" "14E10435" "24E10064" "14E10645"
## [4555] "02E10462" "25E10109" "25E10051" "25E10026" "14E10678" "22E10220"
## [4561] "05E10564" "31E10620" "32E10764" "16E10010" "24E10935" "24E10372"
## [4567] "12E10646" "07E10536" "04E10484" "03E10351" "03E10837" "29E10203"
## [4573] "12E10331" "29E10138" "18E10682" "18E10484" "27E10398" "08E10049"
## [4579] "15E10389" "07E10037" "08E10148" "04E10070" "12E10195" "04E10035"
## [4585] "01E10045" "12E10082" "25E10696" "05E10114" "20E10602" "19E10801"
## [4591] "09E10182" "09E10185" "32E10509" "32E10050" "09E10306" "07E10136"
## [4597] "23E10286" "02E10086" "20E10604" "12E10039" "09E10853" "19E10314"
## [4603] "24E10832" "26E10389" "25E10234" "06E10614" "03E10217" "01E10147"
## [4609] "24E10919" "21E10211" "13E10024" "24E10149" "15E10092" "32E10496"
## [4615] "10E10640" "13E10560" "18E10150" "07E10031" "12E10887" "31E10227"
## [4621] "16E10006" "20E10859" "31E10274" "01E10141" "02E10040" "23E10297"
## [4627] "11E10403" "20E10414" "26E10466" "09E10724" "20E10289" "27E10613"
## [4633] "29E10390" "11E10032" "13E10822" "09E10659" "09E10589" "21E10178"
## [4639] "13E10554" "19E10974" "28E10728" "22E10850" "25E10988" "19E10485"
## [4645] "12E10314" "13E10354" "27E10269" "20E10075" "28E10020" "01E10756"
## [4651] "26E10486" "31E10742" "15E10496" "28E10470" "12E10212" "28E10282"
## [4657] "02E10079" "10E10001" "23E10204" "32E10638" "28E10223" "32E10642"
## [4663] "30E10230" "14E10564" "11E10111" "21E10158" "30E10041" "12E10804"
## [4669] "32E10041" "24E10010" "10E10514" "14E10224" "12E10896" "17E10064"
## [4675] "21E10139" "14E10831" "15E10075" "18E10169" "19E10798" "21E10601"
## [4681] "28E10203" "09E10294" "20E10020" "25E10703" "04E10012" "12E10661"
## [4687] "15E10544" "20E10562" "31E10038" "18E10793" "02E10390" "24E10850"
## [4693] "22E10087" "15E10228" "12E10814" "02E10224" "08E10484" "07E10035"
## [4699] "14E10830" "08E10262" "01E10650" "23E10561" "31E10382" "18E10013"
## [4705] "25E10160" "14E10375" "02E10421" "05E10652" "20E10831" "08E10672"
## [4711] "25E10002" "12E10043" "08E10210" "18E10437" "14E10114" "07E10193"
## [4717] "15E10811" "14E10055" "06E10059" "16E10020" "14E10709" "18E10521"
## [4723] "30E10163" "32E10238" "31E10278" "06E10391" "22E10098" "08E10434"
## [4729] "07E10129" "22E10411" "32E10254" "22E10764" "03E10461" "10E10127"
## [4735] "05E10148" "03E10205" "06E10553" "11E10416" "30E10718" "02E10764"
## [4741] "04E10271" "29E10028" "23E10174" "32E10524" "02E10006" "14E10891"
## [4747] "08E10156" "15E10298" "23E10050" "25E10384" "14E10802" "11E10589"
## [4753] "20E10418" "32E10559" "30E10134" "11E10248" "32E10889" "24E10030"
## [4759] "09E10565" "03E10183" "25E10453" "01E10338" "10E10604" "15E10988"
## [4765] "21E10282" "08E10518" "13E10181" "12E10601" "27E10048" "04E10242"
## [4771] "24E10014" "24E10727" "21E10209" "14E10049" "17E10009" "29E10287"
## [4777] "08E10515" "04E10011" "23E10563" "14E10188" "19E10057" "29E10403"
## [4783] "25E10451" "19E10379" "12E10273" "11E10232" "11E10045" "32E10835"
## [4789] "07E10715" "12E10946" "07E10511" "03E10004" "03E10324" "25E10586"
## [4795] "13E10890" "11E10331" "07E10054" "15E10093" "24E10106" "06E10185"
## [4801] "20E10475" "03E10852" "05E10438" "06E10044" "12E10795" "05E10328"
## [4807] "03E10293" "06E10160" "07E10101" "15E10908" "22E10807" "24E10488"
## [4813] "22E10154" "03E10471" "32E10768" "20E10947" "11E10222" "18E10406"
## [4819] "17E10336" "20E10417" "19E10794" "17E10117" "08E10193" "19E10170"
## [4825] "19E10194" "28E10659" "14E10433" "04E10125" "28E10317" "09E10978"
## [4831] "16E10264" "01E10667" "19E10085" "18E10604" "05E10527" "15E10094"
## [4837] "28E10060" "08E10149" "25E10018" "15E10629" "24E10235" "12E10276"
## [4843] "14E10500" "16E10183" "21E10036" "09E10475" "24E10249" "22E10656"
## [4849] "27E10360" "24E10181" "15E10952" "03E10250" "23E10212" "05E10440"
## [4855] "07E10246" "09E10404" "21E10044" "11E10180" "22E10708" "19E10136"
## [4861] "18E10113" "05E10643" "31E10302" "22E10416" "09E10820" "26E10401"
## [4867] "19E10062" "10E10587" "10E10659" "22E10108" "02E10259" "05E10236"
## [4873] "32E10851" "31E10335" "28E10008" "12E10840" "18E10658" "08E10349"
## [4879] "19E10217" "15E10326" "15E10053" "03E10540" "28E10513" "04E10093"
## [4885] "09E10563" "28E10628" "14E10141" "02E10762" "12E10240" "26E10420"
## [4891] "13E10011" "18E10087" "29E10207" "13E10264" "12E10080" "05E10496"
## [4897] "14E10208" "02E10314" "21E10146" "14E10446" "06E10443" "28E10502"
## [4903] "24E10582" "23E10774" "08E10721" "25E10066" "13E10585" "25E10285"
## [4909] "07E10128" "09E10489" "22E10147" "18E10002" "09E10822" "32E10221"
## [4915] "15E10112" "15E10929" "20E10119" "28E10527" "07E10769" "02E10916"
## [4921] "07E10192" "09E10074" "28E10132" "32E10264" "15E10942" "30E10074"
## [4927] "23E10185" "08E10269" "18E10759" "08E10231" "28E10271" "22E10142"
## [4933] "05E10332" "11E10199" "01E10391" "05E10439" "12E10258" "26E10580"
## [4939] "13E10290" "32E10247" "10E10134" "23E10100" "13E10658" "15E10670"
## [4945] "03E10656" "07E10146" "11E10072" "01E10773" "23E10197" "01E10842"
## [4951] "25E10694" "31E10011" "12E10166" "28E10098" "01E10350" "05E10194"
## [4957] "12E10615" "24E10464" "23E10444" "06E10169" "23E10154" "10E10292"
## [4963] "22E10084" "05E10460" "08E10446" "06E10635" "08E10769" "18E10091"
## [4969] "31E10760" "31E10733" "14E10075" "08E10365" "16E10369" "23E10225"
## [4975] "27E10442" "32E10381" "01E10796" "01E10098" "26E10082" "24E10278"
## [4981] "06E10036" "21E10187" "25E10941" "09E10329" "32E10838" "05E10646"
## [4987] "24E10807" "18E10534" "31E10191" "28E10026" "17E10678" "09E10175"
## [4993] "06E10463" "31E10493" "14E10795" "03E10048" "09E10037" "03E10976"
## [4999] "22E10459" "27E10179" "02E10870" "01E10337" "16E10250" "15E10190"
## [5005] "05E10408" "14E10183" "19E10876" "10E10013" "13E10100" "27E10608"
## [5011] "28E10400" "12E10257" "16E10242" "13E10604" "15E10202" "09E10418"
## [5017] "09E10687" "09E10681" "13E10518" "27E10541" "20E10131" "04E10711"
## [5023] "05E10315" "25E10186" "28E10719" "16E10428" "10E10597" "02E10366"
## [5029] "02E10721" "31E10079" "23E10817" "08E10274" "12E10270" "08E10821"
## [5035] "32E10043" "03E10623" "31E10010" "18E10349" "20E10185" "04E10543"
## [5041] "24E10247" "04E10298" "23E10294" "15E10266" "02E10333" "12E10893"
## [5047] "23E10844" "24E10127" "09E10193" "31E10490" "06E10283" "13E10038"
## [5053] "08E10861" "21E10435" "19E10055" "11E10506" "24E10342" "03E10927"
## [5059] "26E10457" "23E10833" "05E10434" "15E10117" "07E10263" "06E10107"
## [5065] "14E10985" "18E10059" "22E10434" "03E10238" "09E10336" "09E10245"
## [5071] "06E10361" "01E10783" "15E10392" "12E10117" "07E10034" "28E10347"
## [5077] "31E10307" "15E10141" "07E10308" "31E10659" "22E10097" "20E10642"
## [5083] "19E10300" "29E10114" "30E10535" "19E10288" "13E10340" "29E10310"
## [5089] "15E10385" "12E10529" "26E10460" "07E10070" "18E10058" "08E10157"
## [5095] "12E10193" "29E10433" "18E10235" "05E10108" "30E10466" "10E10201"
## [5101] "24E10370" "02E10334" "16E10405" "07E10001" "31E10649" "01E10794"
## [5107] "21E10054" "14E10013" "27E10279" "03E10754" "06E10378" "03E10444"
## [5113] "07E10692" "26E10216" "10E10204" "27E10086" "12E10990" "09E10746"
## [5119] "32E10151" "24E10232" "05E10317" "05E10727" "28E10709" "03E10773"
## [5125] "15E10321" "09E10755" "16E10669" "06E10106" "28E10217" "30E10440"
## [5131] "32E10955" "29E10301" "03E10053" "16E10098" "08E10436" "27E10519"
## [5137] "14E10058" "09E10598" "14E10796" "18E10035" "04E10537" "05E10365"
## [5143] "20E10505" "07E10491" "12E10124" "11E10154" "20E10397" "30E10145"
## [5149] "18E10251" "10E10101" "05E10231" "03E10124" "25E10273" "25E10385"
## [5155] "23E10683" "23E10776" "30E10645" "22E10677" "12E10507" "16E10713"
## [5161] "22E10917" "14E10711" "10E10519" "28E10328" "20E10258" "08E10717"
## [5167] "29E10395" "23E10263" "03E10299" "31E10126" "05E10572" "24E10008"
## [5173] "03E10762" "17E10533" "25E10466" "17E10096" "10E10233" "01E10641"
## [5179] "18E10301" "15E10182" "28E10162" "32E10106" "18E10570" "21E10256"
## [5185] "15E10992" "20E10136" "17E10641" "01E10415" "32E10818" "09E10147"
## [5191] "15E10319" "06E10013" "23E10122" "15E10831" "01E10265" "12E10701"
## [5197] "24E10252" "26E10279" "03E10088" "19E10241" "14E10140" "23E10008"
## [5203] "32E10365" "02E10474" "32E10530" "14E10954" "07E10379" "04E10417"
## [5209] "23E10424" "17E10747" "22E10182" "07E10534" "24E10334" "27E10120"
## [5215] "15E10928" "23E10909" "28E10494" "08E10246" "23E10638" "29E10423"
## [5221] "15E10553" "26E10381" "03E10196" "26E10507" "07E10653" "18E10223"
## [5227] "03E10234" "21E10243" "08E10873" "18E10470" "27E10262" "09E10220"
## [5233] "04E10655" "22E10464" "18E10175" "13E10896" "07E10282" "02E10027"
## [5239] "16E10406" "25E10053" "25E10231" "25E10855" "27E10112" "13E10465"
## [5245] "09E10946" "08E10191" "23E10017" "10E10350" "18E10777" "30E10609"
## [5251] "18E10178" "19E10595" "13E10287" "32E10246" "10E10140" "22E10100"
## [5257] "14E10694" "17E10671" "09E10143" "27E10201" "25E10392" "14E10820"
## [5263] "02E10811" "13E10268" "18E10027" "20E10143" "12E10023" "27E10320"
## [5269] "28E10437" "32E10379" "10E10544" "25E10185" "07E10462" "08E10545"
## [5275] "17E10293" "25E10247" "03E10236" "13E10339" "06E10477" "27E10370"
## [5281] "01E10054" "12E10435" "32E10847" "18E10045" "02E10026" "18E10230"
## [5287] "22E10430" "12E10846" "26E10084" "10E10109" "27E10518" "14E10494"
## [5293] "29E10542" "14E10160" "24E10340" "15E10032" "11E10433" "09E10191"
## [5299] "23E10233" "15E10664" "20E10257" "32E10134" "24E10314" "13E10223"
## [5305] "09E10545" "12E10890" "01E10197" "03E10209" "20E10621" "16E10408"
## [5311] "16E10575" "01E10715" "16E10272" "04E10428" "18E10153" "32E10282"
## [5317] "04E10050" "20E10094" "01E10512" "22E10033" "06E10088" "14E10620"
## [5323] "18E10063" "20E10579" "01E10253" "13E10865" "03E10271" "08E10077"
## [5329] "23E10271" "11E10419" "09E10361" "25E10423" "17E10075" "19E10484"
## [5335] "21E10520" "16E10161" "01E10070" "12E10633" "01E10618" "08E10109"
## [5341] "21E10277" "30E10486" "24E10558" "06E10456" "23E10006" "04E10663"
## [5347] "20E10609" "26E10412" "07E10043" "22E10296" "16E10459" "02E10235"
## [5353] "10E10613" "15E10146" "30E10547" "17E10368" "09E10722" "02E10215"
## [5359] "15E10753" "23E10244" "03E10829" "09E10373" "06E10190" "18E10083"
## [5365] "15E10938" "18E10522" "10E10130" "08E10483" "08E10045" "12E10427"
## [5371] "13E10299" "29E10356" "20E10093" "31E10168" "18E10189" "12E10292"
## [5377] "28E10140" "23E10310" "24E10423" "20E10563" "24E10017" "16E10088"
## [5383] "10E10170" "25E10112" "22E10926" "23E10766" "22E10519" "16E10253"
## [5389] "32E10201" "32E10712" "04E10454" "32E10664" "13E10441" "16E10577"
## [5395] "05E10222" "24E10946" "13E10087" "23E10003" "26E10246" "15E10556"
## [5401] "12E10287" "26E10205" "03E10680" "03E10186" "15E10925" "30E10299"
## [5407] "25E10103" "21E10510" "13E10897" "24E10791" "09E10626" "25E10922"
## [5413] "23E10208" "18E10195" "10E10143" "31E10748" "25E10135" "19E10265"
## [5419] "15E10205" "20E10705" "01E10073" "20E10867" "08E10898" "31E10841"
## [5425] "30E10255" "10E10385" "04E10688" "15E10554" "18E10279" "31E10122"
## [5431] "02E10350" "07E10117" "23E10243" "04E10323" "09E10221" "32E10339"
## [5437] "21E10512" "31E10687" "21E10316" "25E10918" "31E10068" "24E10941"
## [5443] "22E10120" "10E10172" "29E10091" "26E10156" "09E10713" "21E10347"
## [5449] "17E10584" "20E10844" "15E10473" "31E10346" "25E10544" "29E10066"
## [5455] "31E10095" "10E10526" "10E10331" "13E10796" "31E10854" "31E10030"
## [5461] "04E10341" "07E10267" "19E10726" "02E10056" "12E10197" "32E10347"
## [5467] "32E10073" "31E10762" "12E10760" "02E10814" "27E10379" "04E10269"
## [5473] "09E10606" "08E10151" "05E10144" "13E10238" "30E10399" "31E10410"
## [5479] "01E10209" "24E10233" "10E10477" "32E10887" "15E10961" "14E10268"
## [5485] "28E10608" "02E10111" "13E10417" "20E10912" "14E10934" "21E10468"
## [5491] "15E10678" "25E10353" "10E10039" "32E10144" "16E10265" "08E10256"
## [5497] "24E10368" "31E10045" "15E10489" "27E10147" "08E10941" "02E10429"
## [5503] "32E10374" "27E10641" "29E10238" "26E10213" "25E10056" "07E10254"
## [5509] "27E10005" "19E10363" "09E10760" "26E10145" "25E10341" "23E10178"
## [5515] "31E10060" "31E10121" "32E10273" "10E10441" "08E10482" "15E10621"
## [5521] "03E10068" "12E10374" "23E10941" "31E10258" "32E10749" "29E10372"
## [5527] "11E10348" "20E10449" "02E10168" "10E10582" "04E10147" "08E10749"
## [5533] "17E10118" "25E10609" "03E10713" "14E10572" "12E10384" "22E10848"
## [5539] "09E10362" "31E10816" "07E10742" "30E10313" "04E10202" "20E10296"
## [5545] "21E10459" "07E10595" "01E10737" "06E10590" "32E10500" "09E10656"
## [5551] "02E10325" "29E10009" "21E10154" "18E10062" "08E10392" "22E10360"
## [5557] "03E10353" "15E10904" "20E10920" "02E10330" "31E10115" "01E10182"
## [5563] "32E10082" "31E10743" "18E10117" "30E10686" "31E10244" "25E10607"
## [5569] "32E10591" "04E10193" "32E10470" "01E10722" "05E10051" "20E10175"
## [5575] "10E10051" "23E10618" "09E10087" "17E10253" "08E10164" "03E10039"
## [5581] "15E10357" "10E10026" "30E10314" "06E10423" "08E10486" "15E10142"
## [5587] "29E10008" "04E10236" "24E10948" "06E10324" "07E10138" "18E10265"
## [5593] "31E10661"
##
## $r_pre
## [1] "Entrevista lograda"
## [2] "Entrevista telefónica suspendida"
## [3] "Responde un informante inadecuado"
## [4] "El informante se negó a dar información"
## [5] "No respondió la llamada"
## [6] "Otro motivo"
## [7] "No existe el número"
##
## $r_pre_dia
## NULL
##
## $r_pre_mes
## NULL
##
## $r_def
## [1] "Entrevista lograda"
## [2] "Entrevista telefónica suspendida"
## [3] "Responde un informante inadecuado"
## [4] "El informante se negó a dar información"
## [5] "No respondió la llamada"
## [6] "Otro motivo"
## [7] "No existe el número"
##
## $r_def_dia
## NULL
##
## $r_def_mes
## NULL
##
## $r_def_anio
## NULLprint(get_labels(ecovid0420$clase2)) ### NULLSelección de casos y de variables
Poco a poco vamos comprendiendo más la lógica de R. Hay varias “formas” de programar. Por lo que no te asustes si varios códigos llegan al mismo resultado
Para revisar el contenido de un data frame podemos usar, como lo hicimos anteriormente, el formato basededatos$var o usar corchete, checa como estas cuatro formas tan el mismo resultado.
x<-ecovid0420$pb3
x<-ecovid0420[["pb3"]] # ¡Ojo con las comillas!
x<-ecovid0420[,10]
x<-ecovid0420[,"pb3"]Ahora, con el formato de dplyr podemos llegar a lo mismo
x<-ecovid0420 %>%
select(pb3)Selección “inversa”
O sea no “botar algo”, es con el negativo. No funciona con todos los formatos
x<-ecovid0420 %>%
select(-pb3)
x<-ecovid0420[,-10]
rm(x) #rm sólo bota objetosPero con los otros formatos podemos “asignar” valores adentro de un data.frame, y uno de eso valores puede ser “la nada”"
ecovid0420$pb3_2<-ecovid0420$pb3
ecovid0420$pb3_2<-NULLDe aquí viene esa cuesta en el aprendizaje; tenemos que comprender en qué forma programó el que hizo la librería e incluso a veces cómo aprendió quién te está enseñando o el foro que estás leyendo.
Subsetting
Rara vez utilizamos una base de datos completa, y rara vez queremos hacer operaciones completas con ellas.
Vamos a pedir cosas más específicas y podemos seleccionar observaciones o filas. Como nuestra base de datos es muy grande, guardaremos el filtro o selección en un objeto.
subset1<-ecovid0420[ecovid0420$pb3>4,]También podemos seleccionar columnas
subset2<- ecovid0420[, c("pb1", "pb2", "pb3")]podemos combinar los dos tipos de selección
subset3<- ecovid0420[(ecovid0420$pb3>4 & ecovid0420$pb1==1 ), c("pb1", "pb2", "pb3")]Con dplyr, podemos usar “filter” y “select”
subset4<-ecovid0420 %>%
filter(pb3>4 & pb1==1) %>%
select(pb1, pb2, pb3)Ejercicio de tarea
- Escoja una base con la que usted esté trabajando. Impórtela
- Replique la exploración de la práctica: incluya limpiar nombre, alguna revisión global y, opcionalmente, alguna selección de variables o casos de acuerdo a su interés
- Utilice al menos un comando con dplyr para revisar algo
- Adjunte un archivo con información de la base (para que yo verifique su importación.), así como el código en .R
Envíe el script utilizando la liga: https://forms.gle/QqbgjysEAE6Te7t37