facetable
Data license: Apache License 2.0 · Data source: tests/fixtures.py · About: About Datasette
15 rows sorted by planet_int descending
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Suggested facets: created, planet_int, on_earth, state, _city_id, _neighborhood, complex_array, created (date), tags (array)
| pk | created | planet_int ▲ | on_earth | state | _city_id | _neighborhood | tags | complex_array | distinct_some_null | n |
|---|---|---|---|---|---|---|---|---|---|---|
| 15 | 2019-01-17 08:00:00 | 2 | 0 | MC | Memnonia 4 | Arcadia Planitia | [] | [] | ||
| 1 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Mission | ["tag1", "tag2"] | [{"foo": "bar"}] | one | n1 |
| 2 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Dogpatch | ["tag1", "tag3"] | [] | two | n2 |
| 3 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | SOMA | [] | [] | ||
| 4 | 2019-01-14 08:00:00 | 1 | 1 | CA | San Francisco 1 | Tenderloin | [] | [] | ||
| 5 | 2019-01-15 08:00:00 | 1 | 1 | CA | San Francisco 1 | Bernal Heights | [] | [] | ||
| 6 | 2019-01-15 08:00:00 | 1 | 1 | CA | San Francisco 1 | Hayes Valley | [] | [] | ||
| 7 | 2019-01-15 08:00:00 | 1 | 1 | CA | Los Angeles 2 | Hollywood | [] | [] | ||
| 8 | 2019-01-15 08:00:00 | 1 | 1 | CA | Los Angeles 2 | Downtown | [] | [] | ||
| 9 | 2019-01-16 08:00:00 | 1 | 1 | CA | Los Angeles 2 | Los Feliz | [] | [] | ||
| 10 | 2019-01-16 08:00:00 | 1 | 1 | CA | Los Angeles 2 | Koreatown | [] | [] | ||
| 11 | 2019-01-16 08:00:00 | 1 | 1 | MI | Detroit 3 | Downtown | [] | [] | ||
| 12 | 2019-01-17 08:00:00 | 1 | 1 | MI | Detroit 3 | Greektown | [] | [] | ||
| 13 | 2019-01-17 08:00:00 | 1 | 1 | MI | Detroit 3 | Corktown | [] | [] | ||
| 14 | 2019-01-17 08:00:00 | 1 | 1 | MI | Detroit 3 | Mexicantown | [] | [] |
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CREATE TABLE facetable (
pk integer primary key,
created text,
planet_int integer,
on_earth integer,
state text,
_city_id integer,
_neighborhood text,
tags text,
complex_array text,
distinct_some_null,
n text,
FOREIGN KEY ("_city_id") REFERENCES [facet_cities](id)
);