home / fixtures

facetable

13 rows where tags = "[]"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created, planet_int, on_earth, state, _city_id, _neighborhood, created (date)

pk ▼ created planet_int on_earth state _city_id _neighborhood tags complex_array distinct_some_null n
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 [] []    
15 2019-01-17 08:00:00 2 0 MC Memnonia 4 Arcadia Planitia [] []    

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

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)
);
Powered by Datasette · Queries took 10.38ms