The goal of perupobreza2018 is to have an easy way to draw peruvian poverty maps.
Installation
You can install the released version of perupobreza2018 from the calderonsamuel r-universe with:
install.packages("perupobreza2018", repos = 'https://calderonsamuel.r-universe.dev')And the development version from GitHub with:
# install.packages("remotes")
remotes::install_github("calderonsamuel/perupobreza2018")Example
The dataset pobreza2018 is a tibble. For better displaying load tibble or tidyverse.
library(perupobreza2018)
library(tibble) # optional
## basic example code
pobreza2018
#> # A tibble: 1,874 x 13
#> region provincia distrito ubigeo agrupados pob_2020 conf_95_inf conf_95_sup
#> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
#> 1 UCAYALI ATALAYA YURUA 250204 000 2435 40.3 65
#> 2 UCAYALI CORONEL P~ IPARIA 250103 000 12350 24.5 42.9
#> 3 UCAYALI CORONEL P~ MASISEA 250104 000 11961 23.4 42.2
#> 4 UCAYALI PURÚS PURÚS 250401 000 3284 20.9 43
#> 5 UCAYALI ATALAYA RAYMONDI 250201 197 39732 25 38.7
#> 6 UCAYALI ATALAYA SEPAHUA 250202 197 8264 25 38.7
#> 7 UCAYALI ATALAYA TAHUANIA 250203 000 10618 20.4 38.7
#> 8 UCAYALI PADRE ABAD IRAZOLA 250302 198 12065 8.1 17.7
#> 9 UCAYALI PADRE ABAD ALEXAND~ 250305 198 6159 8.1 17.7
#> 10 UCAYALI PADRE ABAD NESHUYA 250304 000 10501 7.6 16.3
#> # ... with 1,864 more rows, and 5 more variables: grupo_robusto_regional <dbl>,
#> # ubicacion_pobreza_monetaria_total_regional <dbl>,
#> # grupo_robusto_nacional <dbl>,
#> # ubicacion_pobreza_monetaria_total_nacional <dbl>, pobreza_monetaria <dbl>