Download metadata for a specific entity from the Kolada API

There are five different types of metadata entities in the Kolada database: "kpi", "kpi_groups", "municipality", "municipality_groups", and "ou". For every entity there is a corresponding function get_ENTITY which retrieves a table with the metadata for that entity. The get_ENTITY functions are thin wrappers around get_metadata.

Usage

get_kpi(
  id = NULL,
  max_results = NULL,
  cache = FALSE,
  cache_location = tempdir,
  verbose = FALSE
)

get_kpi_groups(
  id = NULL,
  cache = FALSE,
  max_results = NULL,
  cache_location = tempdir,
  verbose = FALSE
)

get_ou(
  id = NULL,
  municipality = NULL,
  max_results = NULL,
  cache = FALSE,
  cache_location = tempdir,
  verbose = FALSE
)

get_municipality(
  id = NULL,
  cache = FALSE,
  max_results = NULL,
  cache_location = tempdir,
  verbose = FALSE
)

get_municipality_groups(
  id = NULL,
  cache = FALSE,
  max_results = NULL,
  cache_location = tempdir,
  verbose = FALSE
)

Arguments

id

(Optional) One or several KPI IDs

max_results

(Optional) Specify the maximum number of results returned by the query.

cache

Logical. If TRUE, downloaded data are stored to the local disk in the place specified by cache_location. If data is already present on the local disk, this data is returned instead of downloading data from the API.

cache_location

Where to store and search for cached data. Can be a path to a directory or the name of any function that returns the path to a directory when called, like getwd. Defaults to tempdir.

verbose

Whether to print the call to the Kolada API as a message to the R console.

municipality

(Optional) A string or vector of strings containing municipality codes. If getting OU data, you can use this parameter to narrow the search.

Value

Returns a tibble with metadata for the specified entity. In rKolada terminology, a table returned by e.g. get_kpi is referred to as a kpi_df and can be passed to functions starting with "kpi" such as kpi_bind_keywords.

Examples

# Download KPI table and store a cache copy of the results in a temporary folder
# (to actually download all available data, don't specify max_results)
if (kolada_available()) {
kpi_df <- get_kpi(cache = TRUE, max_results = 100)
}