html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/1886#issuecomment-1314241058,https://api.github.com/repos/simonw/datasette/issues/1886,1314241058,IC_kwDOBm6k_c5OVboi,25778,eyeseast,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.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1447050738,"Call for birthday presents: if you're using Datasette, let us know how you're using it here",