The catalog of everything the API publishes, one row per dataset. With
no arguments it returns every dataset: all subject areas, detail
levels and years, tables and geometry alike. Each argument only narrows
the list (the filtering runs on the server). About 176 datasets: small
enough to View() or filter with dplyr.
The six lookup tables (districts, schools, counties, tracts, block
groups, demographics) are not datasets and are not listed; see
gcd_dimension().
Arguments
- main_topic
A single subject area:
"education","census","health"or"immigration". DefaultNULL: all.- level
Keep datasets that publish rows at this detail level, such as
"schools","districts","counties"or"tracts". DefaultNULL: all.- year
Keep datasets that cover this year (a single number). Default
NULL: all.- kind
"table"or"geometry". DefaultNULL: both.- details
FALSE(default) gives the compact catalog.TRUEadds the long columns (description, source, grain and more).
Value
A tibble, one row per dataset, with columns:
name: the dataset's name, used by every other function.title,summary: what it holds.kind:"table"or"geometry".main_topic: the subject area.detail_levels: list-column of the levels it publishes.year_min,year_max: integer, the years covered.
With details = TRUE, also: description, source, source_url,
grain (list-column: the columns that identify a row),
default_detail, year_gaps (list-column of missing years),
update_frequency, search_aliases_en and search_aliases_es
(list-columns of everyday search phrases), and updated_at (POSIXct,
UTC). Geometry datasets have NA where a field doesn't apply.
See also
gcd_search() to rank datasets by plain words;
gcd_describe() for one dataset.
Other find data:
gcd_search()