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-1321241426,https://api.github.com/repos/simonw/datasette/issues/1886,1321241426,IC_kwDOBm6k_c5OwItS,536941,2022-11-20T20:58:54Z,2022-11-20T20:58:54Z,CONTRIBUTOR,i wrote up a blog post of how i'm using it! https://bunkum.us/2022/11/20/mgdo-stack.html,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1447050738,
https://github.com/simonw/datasette/issues/1886#issuecomment-1321003094,https://api.github.com/repos/simonw/datasette/issues/1886,1321003094,IC_kwDOBm6k_c5OvOhW,9020979,2022-11-20T00:52:05Z,2022-11-20T00:52:05Z,CONTRIBUTOR,"Happy birthday to datasette and thank you Simon for your continued effort on this project!
I use datasette (python) as a fast layer on top of search for github projects using https://github.com/dogsheep/github-to-sqlite , and use the JSON API it provides to serve sample data to make Vega-Lite graphing workshop examples that don't require authentication/API keys. It's awesome to have a full SQL API support working without needing to develop any custom API middleware for both filtering and grouping.
I've also enjoyed using it as a teaching tool for working with public dataset in [civic data workshops](https://2022.open-data.nyc/event/low-code-visual-data-exploration-with-nyc-public-data/) and as a platform for making visualization [plugins](https://github.com/hydrosquall/datasette-nteract-data-explorer) . I
I'm especially excited about datasette-lite, as it will let people participate in future editions of this workshop without having to install anything to make use of their own tables :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",1447050738,
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,
https://github.com/simonw/datasette/issues/1886#issuecomment-1313252879,https://api.github.com/repos/simonw/datasette/issues/1886,1313252879,IC_kwDOBm6k_c5ORqYP,883348,2022-11-14T08:10:23Z,2022-11-14T08:10:23Z,CONTRIBUTOR,"Hi @simonw and thanks for the great tools you're publishing, your dedication is inspiring!
I work for the French Ministry of Culture on a surveying tool for objects protected for their historical value. It is part of a program building modern public services called [beta.gouv.fr](https://beta.gouv.fr/).
In that context I'm using data published by the Ministry that I have ingested into datasette and published on a free Fly instance : https://collectif-objets-datasette.fly.dev . I have also ingested another data set with infos about french cities on this instance so that I can perform joined queries.
The surveying tool synchronizes its data regularly from this datasette instance, and I also use it to perform queries when asked generic questions about the distribution of objects. (The data is not very accessible as it's undocumented and for internal usage mostly)","{""total_count"": 3, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 3, ""rocket"": 0, ""eyes"": 0}",1447050738,