One row per bundled table or dictionary: slug, source_path
(relative to the package's extdata directory), kind, and for
tables n_rows, n_cols and parquet_path (the same table as a
Parquet file, see mdpath()).
Value
A data frame: slug, source_path, kind (table, dictionary, ...),
n_rows, n_cols, parquet_path, and synthetic, TRUE for the tables that are
generated stand-ins with the published schema rather than published data (the
ARSAU use-of-force tables and the *_synthetic ones).
Examples
cat <- mdcat()
cat$slug[cat$synthetic]
#> [1] "arsau_2020_2022_useofforce_agrregatesummarybyyear_2020_2022"
#> [2] "arsau_2020_2022_useofforce_detaileddataset_2020_2022"
#> [3] "arsau_2023_uof_individual_records"
#> [4] "arsau_2023_uof_main_records"
#> [5] "arsau_2023_uof_probe_cycle_records"
#> [6] "arsau_2023_uof_weapon_records_invaliddata"
#> [7] "arsau_2024_uof_individual_records"
#> [8] "arsau_2024_uof_main_records"
#> [9] "arsau_2024_uof_probe_cycle_records"
#> [10] "arsau_2024_uof_weapon_records"
#> [11] "arsau_uof_detailed_dataset_2020_2022_sample"
#> [12] "arsau_uof_individual_records_sample"
#> [13] "cpads_pumf_synthetic"
#> [14] "nibrs_synthetic"
#> [15] "nist_rds_synthetic"
tbls <- cat[cat$kind == "table", c("slug", "n_rows", "n_cols")]
head(tbls[order(-tbls$n_rows), ])
#> slug n_rows n_cols
#> 79 siu_drid_manifest 4749 9
#> 78 siu_directors_reports 4613 66
#> 37 nyc_opendata_bulk_catalog 2851 7
#> 28 edmonton_opendata_bulk_catalog 2027 7
#> 23 chicago_opendata_bulk_catalog 1856 7
#> 105 vic_recorded_offences 1129 7