Metadata Coverage

A dataset is fully described when it has a title, a description, a source, a known license, and a description for every field.

To fill a gap, edit the dataset's entry in datapackage_additions.toml (each row links to it) as the contribution guidelines describe.

Categories, constraints, missing-value markers and keys apply only to some datasets, so they are listed where documented but never counted as gaps.

Every Dataset

Fully described
21 of 75 datasets
Title
75 of 75
Description
75 of 75
Source
67 of 75
Known license
52 of 75
Field descriptions
95 of 414 fields
Dataset Gaps TitleDescriptionSourceLicense Field Descriptions Also Documented Metadata entry
budget 72 Yes Yes Yes Yes 0 of 72 None Edit the budget entry
political_contributions 25 Yes Yes Yes Yes 0 of 25 None Edit the political_contributions entry
us_employment 24 Yes Yes Yes Yes 0 of 24 None Edit the us_employment entry
movies 18 Yes Yes Missing Not specified 0 of 16 None Edit the movies entry
birdstrikes 14 Yes Yes Yes Yes 0 of 14 None Edit the birdstrikes entry
la_riots 12 Yes Yes Yes Not specified 0 of 11 None Edit the la_riots entry
cars 10 Yes Yes Yes Not specified 0 of 9 None Edit the cars entry
platformer_terrain 9 Yes Yes Yes Not specified 0 of 8 None Edit the platformer_terrain entry
ohlc 8 Yes Yes Yes Not specified 0 of 7 None Edit the ohlc entry
sp500_2000 8 Yes Yes Yes Not specified 0 of 7 None Edit the sp500_2000 entry
airports 7 Yes Yes Yes Yes 0 of 7 None Edit the airports entry
windvectors 7 Yes Yes Missing Not specified 0 of 5 None Edit the windvectors entry
burtin 6 Yes Yes Yes Yes 0 of 6 None Edit the burtin entry
football 6 Yes Yes Yes Yes 0 of 6 None Edit the football entry
income 6 Yes Yes Yes Yes 0 of 6 None Edit the income entry
zipcodes 6 Yes Yes Yes Yes 0 of 6 None Edit the zipcodes entry
barley 5 Yes Yes Yes Not specified 0 of 4 None Edit the barley entry
flights_10k 5 Yes Yes Yes Yes 0 of 5 None Edit the flights_10k entry
flights_20k 5 Yes Yes Yes Yes 0 of 5 None Edit the flights_20k entry
flights_2k 5 Yes Yes Yes Yes 0 of 5 None Edit the flights_2k entry
flights_3m 5 Yes Yes Yes Yes 0 of 5 None Edit the flights_3m entry
flights_5k 5 Yes Yes Yes Yes 0 of 5 None Edit the flights_5k entry
gapminder_health_income 5 Yes Yes Yes Yes 0 of 5 None Edit the gapminder_health_income entry
population_engineers_hurricanes 5 Yes Yes Yes Yes 0 of 5 None Edit the population_engineers_hurricanes entry
stocks 5 Yes Yes Missing Not specified 0 of 3 None Edit the stocks entry
anscombe 4 Yes Yes Yes Not specified 0 of 3 None Edit the anscombe entry
seattle_weather_hourly_normals 4 Yes Yes Yes Yes 0 of 4 None Edit the seattle_weather_hourly_normals entry
udistrict 4 Yes Yes Missing Not specified 0 of 2 None Edit the udistrict entry
us_state_capitals 4 Yes Yes Yes Yes 0 of 4 None Edit the us_state_capitals entry
co2_concentration 3 Yes Yes Yes Yes 0 of 3 None Edit the co2_concentration entry
disasters 3 Yes Yes Yes Yes 0 of 3 None Edit the disasters entry
flights_200k_arrow 3 Yes Yes Yes Yes 0 of 3 None Edit the flights_200k_arrow entry
flights_200k_json 3 Yes Yes Yes Yes 0 of 3 None Edit the flights_200k_json entry
flights_airport 3 Yes Yes Yes Yes 0 of 3 None Edit the flights_airport entry
iowa_electricity 3 Yes Yes Yes Yes 0 of 3 None Edit the iowa_electricity entry
london_centroids 3 Yes Yes Yes Yes 0 of 3 None Edit the london_centroids entry
lookup_people 3 Yes Yes Yes (no link) Yes 0 of 3 None Edit the lookup_people entry
obesity 3 Yes Yes Yes Yes 0 of 3 None Edit the obesity entry
wheat 3 Yes Yes Yes Yes 0 of 3 None Edit the wheat entry
flare 2 Yes Yes Missing Not specified 2 of 2 Constraints (2 fields) Edit the flare entry
flare_dependencies 2 Yes Yes Missing Not specified 2 of 2 Constraints (2 fields) Edit the flare_dependencies entry
global_temp 2 Yes Yes Yes Yes 0 of 2 None Edit the global_temp entry
lookup_groups 2 Yes Yes Yes (no link) Yes 0 of 2 None Edit the lookup_groups entry
sp500 2 Yes Yes Missing Not specified 2 of 2 None Edit the sp500 entry
weekly_weather 2 Yes Yes Missing Not specified No fields None Edit the weekly_weather entry
countries 1 Yes Yes Yes Yes 6 of 7 None Edit the countries entry
crimea 1 Yes Yes Yes Not specified 5 of 5 None Edit the crimea entry
driving 1 Yes Yes Yes Not specified 4 of 4 Categories (1 field) Edit the driving entry
ffox 1 Yes Yes Yes Not specified No fields None Edit the ffox entry
gimp 1 Yes Yes Yes Not specified No fields None Edit the gimp entry
jobs 1 Yes Yes Yes Not specified 5 of 5 None Edit the jobs entry
miserables 1 Yes Yes Yes Not specified No fields None Edit the miserables entry
population 1 Yes Yes Yes Not specified 4 of 4 None Edit the population entry
volcano 1 Yes Yes Yes Not specified No fields None Edit the volcano entry
annual_precip 0 Yes Yes Yes Yes No fields None Edit the annual_precip entry
bird_migration 0 Yes Yes Yes Yes 5 of 5 Categories (1 field) Edit the bird_migration entry
budgets 0 Yes Yes Yes Yes 3 of 3 None Edit the budgets entry
earthquakes 0 Yes Yes Yes Yes No fields None Edit the earthquakes entry
gapminder 0 Yes Yes Yes Yes 6 of 6 Categories (1 field) Edit the gapminder entry
github 0 Yes Yes Yes Yes 2 of 2 None Edit the github entry
icon_7zip 0 Yes Yes Yes Yes No fields None Edit the icon_7zip entry
london_boroughs 0 Yes Yes Yes Yes No fields None Edit the london_boroughs entry
london_tube_lines 0 Yes Yes Yes Yes No fields None Edit the london_tube_lines entry
monarchs 0 Yes Yes Yes Yes 4 of 4 None Edit the monarchs entry
normal_2d 0 Yes Yes Yes (no link) Yes 2 of 2 None Edit the normal_2d entry
penguins 0 Yes Yes Yes Yes 7 of 7 None Edit the penguins entry
seattle_weather 0 Yes Yes Yes Yes 6 of 6 Categories (1 field) Edit the seattle_weather entry
species 0 Yes Yes Yes Yes 6 of 6 None Edit the species entry
unemployment 0 Yes Yes Yes Yes 2 of 2 None Edit the unemployment entry
unemployment_across_industries 0 Yes Yes Yes Yes 6 of 6 None Edit the unemployment_across_industries entry
uniform_2d 0 Yes Yes Yes (no link) Yes 2 of 2 None Edit the uniform_2d entry
us_10m 0 Yes Yes Yes Yes No fields None Edit the us_10m entry
weather 0 Yes Yes Yes Yes 7 of 7 Categories (1 field) Edit the weather entry
world_110m 0 Yes Yes Yes Yes No fields None Edit the world_110m entry

Sorted by number of gaps: each missing item counts once, and each field without a description counts once.