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List all available datasets by name, including group, source, year, level, category and description.

Usage

list_datasets(module = "all", language = "ES")

Arguments

module

character with module to be consulted ("demographic", "geospatial" or "climate"). Default is "all".

language

character with the language of dataset details ("EN" or "ES". Default is "ES".

Value

data.frame object with the available datasets.

Examples

list <- list_datasets("geospatial", "EN")
head(list)
#> # A tibble: 6 × 7
#>   name                 group      source year  level        category description
#>   <chr>                <chr>      <chr>  <chr> <chr>        <chr>    <chr>      
#> 1 DANE_MGN_2018_DPTO   geospatial DANE   2018  department   maps     Geographic…
#> 2 DANE_MGN_2018_MPIO   geospatial DANE   2018  municipality maps     Geographic…
#> 3 DANE_MGN_2018_MPIOCL geospatial DANE   2018  municipalit… maps     Geographic…
#> 4 DANE_MGN_2018_SETU   geospatial DANE   2018  urban_sector maps     Geographic…
#> 5 DANE_MGN_2018_SETR   geospatial DANE   2018  rural_sector maps     Geographic…
#> 6 DANE_MGN_2018_SECU   geospatial DANE   2018  urban_secti… maps     Geographic…