comunista

The goal of comunista is to clean up accents from municipality names of Chile and gets them in proper format to make joining datasets by municipality easier.

Installation

You can install the development version of comunista from GitHub with:

# install.packages("devtools")
devtools::install_github("lhersko/comunista")

If you use pacman, you can install it using:

# install.packages("pacman")
# library(pacman)
p_load_gh("lhersko/comunista")

Example

To use the clean_comunas() function first specify your data frame name and then the variable that contains municipality names in quotations. For example:

library(comunista)
df <- data.frame(comunas=c("ñuñoa", "Peñalolén", "PEñaflor", "Las condes"))
clean_comunas(df, "comunas")
#>      comunas
#> 1      Nunoa
#> 2  Penalolen
#> 3   Penaflor
#> 4 Las Condes

To use the code_comunas() function first specify your data frame name and then the variable that contains municipality names in quotations. For example:

library(comunista)
df <- data.frame(comunas=c("ñuñoa", "Peñalolén", "PEñaflor", "Las condes"))
df_clean <- clean_comunas(df, "comunas")
code_comunas(df_clean, "comunas")
#>      comunas cod_comuna
#> 1 Las Condes      13114
#> 2      Nunoa      13120
#> 3   Penaflor      13605
#> 4  Penalolen      13122

It is strongly suggested that you run clean_comunas() on your data before running code_comunas().

To use the code_regiones() function first specify your data frame name and then the variable that contains municipality names in quotations. For example:

library(comunista)
df <- data.frame(comunas=c("ñuñoa", "Peñalolén", "PEñaflor", "Las condes"))
clean_df <- clean_comunas(df, "comunas")
code_regiones(clean_df, "comunas")
#>      comunas           nom_region_2000           nom_region_2008
#> 1 Las Condes Metropolitana de Santiago Metropolitana de Santiago
#> 2      Nunoa Metropolitana de Santiago Metropolitana de Santiago
#> 3   Penaflor Metropolitana de Santiago Metropolitana de Santiago
#> 4  Penalolen Metropolitana de Santiago Metropolitana de Santiago
#>             nom_region_2018 cod_region_2000 cod_region_2008 cod_region_2018
#> 1 Metropolitana de Santiago              13              13              13
#> 2 Metropolitana de Santiago              13              13              13
#> 3 Metropolitana de Santiago              13              13              13
#> 4 Metropolitana de Santiago              13              13              13

It is strongly suggested that you run clean_comunas() on your data before running code_regiones().