This data as json, CSV (advanced)
Suggested facets: verified, created_at (date)
id | name | description | location | url | fellowship | followers_count | created_at | verified | screen_name | |
---|---|---|---|---|---|---|---|---|---|---|
21678279 | Agaricus | Random and untidy. For Personal Science/Quantified Self, follow @quantifiedself. Some archived journalism here: http://antephase.com/archives | https://twitter.com/agaricus | jsk-fellows2006 | 4019 | 2009-02-23T18:39:32+00:00 | 0 | agaricus | ||
86097492 | jo-ann armao | https://twitter.com/armaoj | jsk-fellows2006 | 178 | 2009-10-29T15:52:11+00:00 | 0 | armaoj | |||
174492304 | Daniel Coronell | Periodista. | https://twitter.com/DCoronell | jsk-fellows2006 | 1443731 | 2010-08-04T01:56:08+00:00 | 1 | DCoronell |
JSON shape: default, array, newline-delimited
CREATE VIEW jsk_fellows AS select users.id, users.name, users.description, users.location, users.url, 'https://twitter.com/' || users.screen_name as twitter, group_concat(lists.slug) as fellowship, users.followers_count, users.created_at, users.verified, users.screen_name from users join list_members on list_members.user = users.id join lists on list_members.list = lists.id where lists.slug like 'jsk-fellows%' and lists.slug not like '%projects' group by users.id;