You can use `dst_tables()` to get a tibble, which contain information about the data sets available at the Bureau.
dst_tables(subjectsID, lang = "en", columns = c("id", "text"))
| subjectsID | Should the data sets be within a specific field. See dst_subject() for IDs. |
|---|---|
| lang | the desired language. Can take the values "da" for danish and "en" english. |
| columns | the returned columns. Can take the values "id", "text", "unit", "updated", "firstPeriod", "latestPeriod", "active" or "variables" |
Tibble which contain information about all tables available at Danish Statistics. If subject is provided only tables within the subject is returned. tibble will contain the columns specified in the columns argument. The language is as default English otherwise "da" is provided in the lang argument.
dst_tables() # retrieve all tables#> # A tibble: 1,852 x 2 #> id text #> * <chr> <chr> #> 1 FOLK1A Population at the first day of the quarter #> 2 FOLK1B Population at the first day of the quarter #> 3 FOLK1C Population at the first day of the quarter #> 4 FOLK1D Population at the first day of the quarter #> 5 FOLK1E Population at the first day of the quarter #> 6 FOLK2 Population 1. January #> 7 FOLK3 Population 1. January #> 8 FT Population figures from the censuses #> 9 BEF5F People born in Faroe Islands and living in Denmark 1. January #> 10 BEF5G People born in Greenland and living in Denmark 1. January #> # ... with 1,842 more rowsdst_tables(subjectsID = "02") # Population and elections data sets#> # A tibble: 153 x 2 #> id text #> * <chr> <chr> #> 1 FOLK1A Population at the first day of the quarter #> 2 FOLK1B Population at the first day of the quarter #> 3 FOLK1C Population at the first day of the quarter #> 4 FOLK1D Population at the first day of the quarter #> 5 FOLK1E Population at the first day of the quarter #> 6 FOLK2 Population 1. January #> 7 FOLK3 Population 1. January #> 8 FT Population figures from the censuses #> 9 BEF5F People born in Faroe Islands and living in Denmark 1. January #> 10 BEF5G People born in Greenland and living in Denmark 1. January #> # ... with 143 more rows