Query Korean census data by admin code (province or municipality) and year

Usage

anycensusk(
  codes = NULL,
  type = c("population", "tax", "mortality"),
  year = 2020,
  level = c("adm1", "adm2")
)

Arguments

codes: Integer or character vector of admin codes (e.g. 11, 26) or admin names (e.g. "Seoul").
type: character: "population", "tax", or "mortality". Defaults to "population".
year: Integer: 2020.
level: Character: "adm1" for province-level or "adm2" for municipal-level. Defaults to "adm2".

Value

A data.frame object containing census data for the specified codes and year.

Examples

anycensusk(codes = "21", type = "mortality")
#> Warning: Values from `value` are not uniquely identified; output will contain list-cols.
#> • Use `values_fn = list` to suppress this warning.
#> • Use `values_fn = {summary_fun}` to summarise duplicates.
#> • Use the following dplyr code to identify duplicates.
#>   {data} |>
#>   dplyr::summarise(n = dplyr::n(), .by = c(year, adm1, adm2, adm2_other,
#>   adm2_code, type, class1, class2, unit)) |>
#>   dplyr::filter(n > 1L)
#> # A tibble: 16 × 7
#>     year adm1  adm2         adm2_other adm2_code type      `All causes_p1p`
#>    <dbl> <chr> <chr>        <chr>          <dbl> <chr>     <list>          
#>  1  2020 Busan Jung-gu      NA             21010 mortality <dbl [3]>       
#>  2  2020 Busan Seo-gu       NA             21020 mortality <dbl [3]>       
#>  3  2020 Busan Dong-gu      NA             21030 mortality <dbl [3]>       
#>  4  2020 Busan Yeongdo-gu   NA             21040 mortality <dbl [3]>       
#>  5  2020 Busan Busanjin-gu  NA             21050 mortality <dbl [3]>       
#>  6  2020 Busan Dongnae-gu   NA             21060 mortality <dbl [3]>       
#>  7  2020 Busan Nam-gu       NA             21070 mortality <dbl [3]>       
#>  8  2020 Busan Buk-gu       NA             21080 mortality <dbl [3]>       
#>  9  2020 Busan Haeundae-gu  NA             21090 mortality <dbl [3]>       
#> 10  2020 Busan Saha-gu      NA             21100 mortality <dbl [3]>       
#> 11  2020 Busan Geumjeong-gu NA             21110 mortality <dbl [3]>       
#> 12  2020 Busan Gangseo-gu   NA             21120 mortality <dbl [3]>       
#> 13  2020 Busan Yeonje-gu    NA             21130 mortality <dbl [3]>       
#> 14  2020 Busan Suyeong-gu   NA             21140 mortality <dbl [3]>       
#> 15  2020 Busan Sasang-gu    NA             21150 mortality <dbl [3]>       
#> 16  2020 Busan Gijang-gun   NA             21310 mortality <dbl [3]>