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Suggested facets: created_at (date)
fellowship
| id | name | description | location | url | fellowship | followers_count | created_at | verified | screen_name | |
|---|---|---|---|---|---|---|---|---|---|---|
| 14715942 | Umbreen Bhatti | Director of @barnard_athena || Fmr Director of @KQED's innovation lab, @JSKStanford fellow, and lawyer. Tweets 100% mine. | NYC | https://www.linkedin.com/in/umbreenbhatti | https://twitter.com/ub14 | jsk-fellows2014 | 1993 | 2008-05-09T17:44:15+00:00 | 0 | ub14 |
| 14716014 | Laura Hertzfeld | Storyteller, LA ambassador, midnight baker. Lost to Jeopardy James. Now #XR @thisisryot @yahoonews Then @Journalism_360 @EW @PBS Always @jskstanford #binders | Los Angeles, CA | http://www.newsvagabond.com/ | https://twitter.com/laurahertzfeld | jsk-fellows-2019 | 3387 | 2008-05-09T17:50:31+00:00 | 1 | laurahertzfeld |
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;