R/municipality_grp.R
municipality_grp_unnest.RdMunicipality groups are a convenient way to discover pre-rendered sets of
municipalities. A practical workflow for discovering
such sets can be to search through Municipality Group metadata using
municipality_grp_search to search for keywords and
municipality_grp_describe to inspect contents of KPI groups.
Once you have created a Municipality Group metadata table that has been
narrowed down to the group/s you are looking for,
municipality_grp_unnest is used to create a municipality
metadata table for further processing.
municipality_grp_unnest(munic_grp_df)A Kolada Municipality Group metadata table, as created by
e.g. get_municipality_groups.
A Kolada Municipality metadata table
# Download Municipality Group metadata
# (skip the parameter "max_results" to actually download all available data)
munic_grp_df <- get_municipality_groups(max_results = 100)
# Create a Municipality metadata table from municipality groups matching the
# term "Arboga"
munic_grp_df %>%
municipality_grp_search("arboga") %>%
municipality_grp_unnest()
#> # A tibble: 7 × 4
#> id title group_id group_title
#> <chr> <chr> <chr> <chr>
#> 1 0561 Åtvidaberg G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 2 0861 Mönsterås G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 3 0884 Vimmerby G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 4 1273 Osby G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 5 1766 Sunne G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 6 1982 Fagersta G148914 Liknande kommuner äldreomsorg, Arboga, 2020
#> 7 2083 Hedemora G148914 Liknande kommuner äldreomsorg, Arboga, 2020