knitr::opts_chunk$set(
warning = FALSE, # show warnings during codebook generation
message = FALSE, # show messages during codebook generation
error = TRUE, # do not interrupt codebook generation in case of errors,
# usually better for debugging
echo = TRUE # show R code
)
ggplot2::theme_set(ggplot2::theme_bw())
# set base directory
basedir = "/home/ecco_rais/data/clean/RAIS-homogenized/output/"
# adjust as necessary
startyear = 2003
endyear = 2004
# libraries
library(codebook)
library(rio)
## The following rio suggested packages are not installed: 'arrow', 'hexView', 'pzfx', 'rmatio', 'readODS', 'qs'
## Use 'install_formats()' to install them
# Start the codebook loop
#for ( year in startyear:endyear) {
year = "2016"
# for CSV
codebook_data <- fread(file.path(basedir, paste0("harmo_", year, ".csv")))
# omit the following lines, if your missing values are already properly labelled
codebook_data <- detect_missing(codebook_data,
only_labelled = TRUE, # only labelled values are autodetected as
# missing
negative_values_are_missing = FALSE, # negative values are missing values
ninety_nine_problems = TRUE, # 99/999 are missing values, if they
# are more than 5 MAD from the median
)
# If you are not using formr, the codebook package needs to guess which items
# form a scale. The following line finds item aggregates with names like this:
# scale = scale_1 + scale_2R + scale_3R
# identifying these aggregates allows the codebook function to
# automatically compute reliabilities.
# However, it will not reverse items automatically.
codebook_data <- detect_scales(codebook_data)
## Warning in detect_scales(codebook_data): cbo items found, but no aggregate
## Warning in detect_scales(codebook_data): cnae items found, but no aggregate
## Warning in detect_scales(codebook_data): active items found, but no aggregate
codebook_data <- as.data.table(codebook_data)
codebook(codebook_data)
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 2 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 4 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 5 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 6 is invalid in this locale
## Warning in max(f): no non-missing arguments to max; returning -Inf
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in max(f): no non-missing arguments to max; returning -Inf
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 2 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 4 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 5 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 6 is invalid in this locale
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning: Couldn't find skimmers for class: integer64; No user-defined `sfl` provided. Falling
## back to `character`.
## Warning in grepl("^\\s+$", x): input string 2 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 3 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 4 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 5 is invalid in this locale
## Warning in grepl("^\\s+$", x): input string 6 is invalid in this locale
Dataset name: codebook_data
The dataset has N=67144598 rows and 64 columns. 0 rows have no missing values on any column.
|
#Variables
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_date | numeric | 0 | 1 | 1e+06 | 5052007 | 3.1e+07 | 8709273 | 8489734 | ▇▂▂▂▁ | NA |
## Error in if (stats::median(table(x)) == 1) {: missing value where TRUE/FALSE needed
## No non-missing values to show.
67144598 missing values.
name | data_type | n_missing | complete_rate | count | label |
---|---|---|---|---|---|
cbo94 | logical | 67144598 | 0 | : | NA |
71376 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cbo02 | numeric | 71376 | 0.998937 | 10105 | 513505 | 992225 | 496754.7 | 205644 | ▁▃▇▅▁ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing position.
## ℹ Error occurred in the 1st layer.
## Caused by error in `if (...) NULL`:
## ! missing value where TRUE/FALSE needed
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
cei | character | 0 | 1 | 52257 | 0 | 1 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
zip_establishment | numeric | 0 | 1 | 1e+06 | 4.3e+07 | 1e+08 | 47242415 | 31584823 | ▇▅▃▅▆ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae20 | numeric | 0 | 1 | 1113 | 49302 | 99008 | 56583.68 | 25858.98 | ▂▂▇▂▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae20sub | numeric | 0 | 1 | 111301 | 4930202 | 9900800 | 5658376 | 2585896 | ▂▂▇▂▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnae95 | numeric | 0 | 1 | 1112 | 55220 | 99007 | 56796.98 | 22465.61 | ▂▂▇▇▂ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing stat.
## ℹ Error occurred in the 1st layer.
## Caused by error in `seq_len()`:
## ! argument must be coercible to non-negative integer
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
firmID | character | 0 | 1 | 3872884 | 0 | 15 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cnpj_root | numeric | 0 | 1 | 0 | 1.3e+07 | 9.9e+07 | 24147303 | 26009292 | ▇▂▁▁▁ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing position.
## ℹ Error occurred in the 1st layer.
## Caused by error in `if (...) NULL`:
## ! missing value where TRUE/FALSE needed
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
cpf | character | 0 | 1 | 56784289 | 0 | 1 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
dob | numeric | 0 | 1 | 1e+06 | 1.6e+07 | 3.1e+07 | 15670961 | 8784154 | ▇▇▇▇▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
termination_day | character | 0 | 1 | 32 | 0 | 2 | 2 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
schooling | numeric | 0 | 1 | 1 | 7 | 11 | 6.718655 | 1.725449 | ▁▂▇▃▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
ibge_subsetor | numeric | 0 | 1 | 1 | 19 | 25 | 18.02316 | 5.304703 | ▁▁▃▇▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
age | numeric | 0 | 1 | 0 | 35 | 100 | 36.36763 | 11.71907 | ▁▇▅▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
cei_avail | numeric | 0 | 1 | 0 | 0 | 1 | 0.0162303 | 0.1263599 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
pat | numeric | 0 | 1 | 0 | 0 | 1 | 0.2915652 | 0.4544831 | ▇▁▁▁▃ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
disabled | numeric | 0 | 1 | 0 | 0 | 1 | 0.0081443 | 0.0898778 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
simples | numeric | 0 | 1 | 0 | 0 | 1 | 0.2424239 | 0.4285493 | ▇▁▁▁▂ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
alvara_ind | numeric | 0 | 1 | 0 | 0 | 1 | 5.61e-05 | 0.007492 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
termination_month | numeric | 0 | 1 | 0 | 0 | 12 | 2.092036 | 3.677219 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
separation_cause | numeric | 0 | 1 | 0 | 0 | 80 | 4.849921 | 8.779175 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
muni_job | numeric | 0 | 1 | 110001 | 351870 | 530010 | 345295.1 | 87870.39 | ▁▂▇▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
muni | numeric | 0 | 1 | 110001 | 351860 | 530010 | 345292.9 | 87867.64 | ▁▂▇▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
nationality | numeric | 0 | 1 | 10 | 10 | 80 | 10.09091 | 1.84549 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
legal_form | numeric | 0 | 1 | 1015 | 2062 | 5037 | 2050.419 | 672.9368 | ▂▇▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
name | character | 0 | 1 | 41466463 | 0 | 2 | 52 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
ctps | numeric | 0 | 1 | 0 | 66451 | 1e+08 | 1342991 | 3672727 | ▇▁▁▁▁ | NA |
## Error in `ggplot2::geom_histogram()`:
## ! Problem while computing stat.
## ℹ Error occurred in the 1st layer.
## Caused by error in `seq_len()`:
## ! argument must be coercible to non-negative integer
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
pis | character | 0 | 1 | 56906493 | 0 | 13 | 21 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
hired_hours | numeric | 0 | 1 | 1 | 44 | 44 | 40.91285 | 6.66365 | ▁▁▁▁▇ | NA |
10150099 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
race_color | numeric | 10150099 | 0.8488322 | 1 | 2 | 9 | 4.84608 | 3.035033 | ▇▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
---|---|---|---|---|---|---|---|---|---|
estab_name | character | 0 | 1 | 3533388 | 0 | 3 | 54 | 0 | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
sex | numeric | 0 | 1 | 0 | 0 | 1 | 0.4286266 | 0.4948796 | ▇▁▁▁▆ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
establishment_size | numeric | 0 | 1 | 1 | 6 | 10 | 6.237625 | 2.851774 | ▃▅▆▅▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
tenure | numeric | 0 | 1 | 0 | 23 | 600 | 53.74033 | 78.45779 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_type | numeric | 0 | 1 | 0 | 0 | 14 | 0.6040368 | 1.016922 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
disability_type | numeric | 0 | 1 | 0 | 0 | 6 | 0.0180107 | 0.2446829 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
firmID_type | numeric | 0 | 1 | 0 | 1 | 1 | 0.9718749 | 0.1653303 | ▁▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
wage_type | numeric | 0 | 1 | 1 | 1 | 7 | 1.31417 | 1.112902 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
contract_type | numeric | 0 | 1 | 10 | 10 | 97 | 16.41979 | 14.45252 | ▇▂▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
active1231 | numeric | 0 | 1 | 0 | 1 | 1 | 0.6859852 | 0.4641223 | ▃▁▁▁▇ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_april | numeric | 0 | 1 | 0 | 995 | 131875 | 1577.918 | 3073.215 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_august | numeric | 0 | 1 | 0 | 1033 | 132000 | 1623.48 | 3098.537 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_feb | numeric | 0 | 1 | 0 | 979 | 131995 | 1573.019 | 3119.974 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_jan | numeric | 0 | 1 | 0 | 998 | 131972 | 1636.781 | 3241.811 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_july | numeric | 0 | 1 | 0 | 1034 | 131992 | 1635.053 | 3128.322 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_june | numeric | 0 | 1 | 0 | 1012 | 131999 | 1609.205 | 3091.357 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_may | numeric | 0 | 1 | 0 | 1022 | 131943 | 1605.951 | 3056.678 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_march | numeric | 0 | 1 | 0 | 1006 | 131994 | 1592.452 | 3136.504 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_nov | numeric | 0 | 1 | 0 | 1045 | 131982 | 1649.136 | 3141.116 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_oct | numeric | 0 | 1 | 0 | 1055 | 132004 | 1653.004 | 3129.668 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_sept | numeric | 0 | 1 | 0 | 1033 | 131978 | 1626.88 | 3095.436 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_dec_mw | numeric | 0 | 1 | 0 | 1.4 | 150 | 2.204156 | 3.919335 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
earn_dec | numeric | 0 | 1 | 0 | 1230 | 132007 | 1942.527 | 3449.822 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
mean_earn_mw | numeric | 0 | 1 | 0 | 1.7 | 150 | 2.713075 | 3.811038 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
mean_earn | numeric | 0 | 1 | 0 | 1473 | 131965 | 2394.672 | 3354.079 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
hired_wage | numeric | 0 | 1 | 0 | 944 | 9053527 | 1304.331 | 4012.593 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
last_wage | numeric | 0 | 1 | 0 | 1361 | 9260700 | 2282.783 | 6923.176 | ▇▁▁▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
yr | numeric | 0 | 1 | 2016 | 2016 | 2016 | 2016 | 0 | ▁▁▇▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
termination_year | numeric | 0 | 1 | 2016 | 2016 | 2016 | 2016 | 0 | ▁▁▇▁▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_day | numeric | 0 | 1 | 1 | 5 | 31 | 8.644663 | 8.48997 | ▇▂▂▂▁ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_month | numeric | 0 | 1 | 1 | 6 | 12 | 6.259822 | 3.412859 | ▇▅▅▅▆ | NA |
0 missing values.
name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
---|---|---|---|---|---|---|---|---|---|---|
adm_year | numeric | 0 | 1 | 1938 | 2014 | 2016 | 2011.902 | 6.477878 | ▁▁▁▁▇ | NA |
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "codebook_data",
"datePublished": "2024-06-05",
"description": "The dataset has N=67144598 rows and 64 columns.\n0 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:------------------|:-----|---------:|\n|adm_date |NA | 0|\n|cbo94 |NA | 67144598|\n|cbo02 |NA | 71376|\n|cei |NA | 0|\n|zip_establishment |NA | 0|\n|cnae20 |NA | 0|\n|cnae20sub |NA | 0|\n|cnae95 |NA | 0|\n|firmID |NA | 0|\n|cnpj_root |NA | 0|\n|cpf |NA | 0|\n|dob |NA | 0|\n|termination_day |NA | 0|\n|schooling |NA | 0|\n|ibge_subsetor |NA | 0|\n|age |NA | 0|\n|cei_avail |NA | 0|\n|pat |NA | 0|\n|disabled |NA | 0|\n|simples |NA | 0|\n|alvara_ind |NA | 0|\n|termination_month |NA | 0|\n|separation_cause |NA | 0|\n|muni_job |NA | 0|\n|muni |NA | 0|\n|nationality |NA | 0|\n|legal_form |NA | 0|\n|name |NA | 0|\n|ctps |NA | 0|\n|pis |NA | 0|\n|hired_hours |NA | 0|\n|race_color |NA | 10150099|\n|estab_name |NA | 0|\n|sex |NA | 0|\n|establishment_size |NA | 0|\n|tenure |NA | 0|\n|adm_type |NA | 0|\n|disability_type |NA | 0|\n|firmID_type |NA | 0|\n|wage_type |NA | 0|\n|contract_type |NA | 0|\n|active1231 |NA | 0|\n|earn_april |NA | 0|\n|earn_august |NA | 0|\n|earn_feb |NA | 0|\n|earn_jan |NA | 0|\n|earn_july |NA | 0|\n|earn_june |NA | 0|\n|earn_may |NA | 0|\n|earn_march |NA | 0|\n|earn_nov |NA | 0|\n|earn_oct |NA | 0|\n|earn_sept |NA | 0|\n|earn_dec_mw |NA | 0|\n|earn_dec |NA | 0|\n|mean_earn_mw |NA | 0|\n|mean_earn |NA | 0|\n|hired_wage |NA | 0|\n|last_wage |NA | 0|\n|yr |NA | 0|\n|termination_year |NA | 0|\n|adm_day |NA | 0|\n|adm_month |NA | 0|\n|adm_year |NA | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["adm_date", "cbo94", "cbo02", "cei", "zip_establishment", "cnae20", "cnae20sub", "cnae95", "firmID", "cnpj_root", "cpf", "dob", "termination_day", "schooling", "ibge_subsetor", "age", "cei_avail", "pat", "disabled", "simples", "alvara_ind", "termination_month", "separation_cause", "muni_job", "muni", "nationality", "legal_form", "name", "ctps", "pis", "hired_hours", "race_color", "estab_name", "sex", "establishment_size", "tenure", "adm_type", "disability_type", "firmID_type", "wage_type", "contract_type", "active1231", "earn_april", "earn_august", "earn_feb", "earn_jan", "earn_july", "earn_june", "earn_may", "earn_march", "earn_nov", "earn_oct", "earn_sept", "earn_dec_mw", "earn_dec", "mean_earn_mw", "mean_earn", "hired_wage", "last_wage", "yr", "termination_year", "adm_day", "adm_month", "adm_year"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "adm_date",
"@type": "propertyValue"
},
{
"name": "cbo94",
"@type": "propertyValue"
},
{
"name": "cbo02",
"@type": "propertyValue"
},
{
"name": "cei",
"@type": "propertyValue"
},
{
"name": "zip_establishment",
"@type": "propertyValue"
},
{
"name": "cnae20",
"@type": "propertyValue"
},
{
"name": "cnae20sub",
"@type": "propertyValue"
},
{
"name": "cnae95",
"@type": "propertyValue"
},
{
"name": "firmID",
"@type": "propertyValue"
},
{
"name": "cnpj_root",
"@type": "propertyValue"
},
{
"name": "cpf",
"@type": "propertyValue"
},
{
"name": "dob",
"@type": "propertyValue"
},
{
"name": "termination_day",
"@type": "propertyValue"
},
{
"name": "schooling",
"@type": "propertyValue"
},
{
"name": "ibge_subsetor",
"@type": "propertyValue"
},
{
"name": "age",
"@type": "propertyValue"
},
{
"name": "cei_avail",
"@type": "propertyValue"
},
{
"name": "pat",
"@type": "propertyValue"
},
{
"name": "disabled",
"@type": "propertyValue"
},
{
"name": "simples",
"@type": "propertyValue"
},
{
"name": "alvara_ind",
"@type": "propertyValue"
},
{
"name": "termination_month",
"@type": "propertyValue"
},
{
"name": "separation_cause",
"@type": "propertyValue"
},
{
"name": "muni_job",
"@type": "propertyValue"
},
{
"name": "muni",
"@type": "propertyValue"
},
{
"name": "nationality",
"@type": "propertyValue"
},
{
"name": "legal_form",
"@type": "propertyValue"
},
{
"name": "name",
"@type": "propertyValue"
},
{
"name": "ctps",
"@type": "propertyValue"
},
{
"name": "pis",
"@type": "propertyValue"
},
{
"name": "hired_hours",
"@type": "propertyValue"
},
{
"name": "race_color",
"@type": "propertyValue"
},
{
"name": "estab_name",
"@type": "propertyValue"
},
{
"name": "sex",
"@type": "propertyValue"
},
{
"name": "establishment_size",
"@type": "propertyValue"
},
{
"name": "tenure",
"@type": "propertyValue"
},
{
"name": "adm_type",
"@type": "propertyValue"
},
{
"name": "disability_type",
"@type": "propertyValue"
},
{
"name": "firmID_type",
"@type": "propertyValue"
},
{
"name": "wage_type",
"@type": "propertyValue"
},
{
"name": "contract_type",
"@type": "propertyValue"
},
{
"name": "active1231",
"@type": "propertyValue"
},
{
"name": "earn_april",
"@type": "propertyValue"
},
{
"name": "earn_august",
"@type": "propertyValue"
},
{
"name": "earn_feb",
"@type": "propertyValue"
},
{
"name": "earn_jan",
"@type": "propertyValue"
},
{
"name": "earn_july",
"@type": "propertyValue"
},
{
"name": "earn_june",
"@type": "propertyValue"
},
{
"name": "earn_may",
"@type": "propertyValue"
},
{
"name": "earn_march",
"@type": "propertyValue"
},
{
"name": "earn_nov",
"@type": "propertyValue"
},
{
"name": "earn_oct",
"@type": "propertyValue"
},
{
"name": "earn_sept",
"@type": "propertyValue"
},
{
"name": "earn_dec_mw",
"@type": "propertyValue"
},
{
"name": "earn_dec",
"@type": "propertyValue"
},
{
"name": "mean_earn_mw",
"@type": "propertyValue"
},
{
"name": "mean_earn",
"@type": "propertyValue"
},
{
"name": "hired_wage",
"@type": "propertyValue"
},
{
"name": "last_wage",
"@type": "propertyValue"
},
{
"name": "yr",
"@type": "propertyValue"
},
{
"name": "termination_year",
"@type": "propertyValue"
},
{
"name": "adm_day",
"@type": "propertyValue"
},
{
"name": "adm_month",
"@type": "propertyValue"
},
{
"name": "adm_year",
"@type": "propertyValue"
}
]
}`
# } # end year loop