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Create a municipality table from a Kolada Municipality Group metadata table

Source: R/municipality_grp.R
municipality_grp_unnest.Rd

Municipality 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.

Usage

municipality_grp_unnest(munic_grp_df)

Arguments

munic_grp_df

A Kolada Municipality Group metadata table, as created by e.g. get_municipality_groups.

Value

A Kolada Municipality metadata table

Examples

if (kolada_available()) {
# 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 0319  Älvkarleby G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 2 0360  Tierp      G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 3 0780  Växjö      G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 4 0860  Hultsfred  G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 5 0862  Emmaboda   G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 6 1281  Lund       G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022
#> 7 2084  Avesta     G175909  Liknande kommuner ekonomiskt bistånd, Arboga, 2022