issue_comments: 1314241058
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | 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 | 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 |