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1 row where issue = 1447050738 and user = 25778 sorted by updated_at descending

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  • eyeseast · 1 ✖

issue 1

  • Call for birthday presents: if you're using Datasette, let us know how you're using it here · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1314241058 https://github.com/simonw/datasette/issues/1886#issuecomment-1314241058 https://api.github.com/repos/simonw/datasette/issues/1886 IC_kwDOBm6k_c5OVboi eyeseast 25778 2022-11-14T19:06:35Z 2022-11-14T19:06:35Z CONTRIBUTOR

This probably counts as a case study: https://github.com/eyeseast/spatial-data-cooking-show. Even has video.

Seriously, though, this workflow has become integral to my work with reporters and editors across USA TODAY Network. Very often, I get sent a folder of data in mixed formats, with a vague ask of how we should communicate some part of it to users. Datasette and its constellation of tools makes it easy to get a quick look at that data, run exploratory queries, map it and ask questions to figure out what's important to show. And then I export a version of the data that's exactly what I need for display.

 
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 Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
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