issue_comments: 1312814245
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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-1312814245 | https://api.github.com/repos/simonw/datasette/issues/1886 | 1312814245 | IC_kwDOBm6k_c5OP_Sl | 2090382 | 2022-11-13T20:28:26Z | 2022-11-13T20:28:26Z | NONE | I work at The Wall Street Journal as a computational journalist and serve as our self-appointed Datasette evangelist. They say that to a hammer everything looks like a nail, but the reality is newsrooms find themselves in a sea of nails! I've only got a couple public projects that I can share, but happy to offer you a look at some of the internal projects. More often than not the internal projects stay internal because the reporting doesn't lead anywhere or I can't convince an editor to greenlight it. But imho that's the beauty of datasette: a (relatively) painless mechanism to see if there's any there there. - [WSJ Inflation Tracker](wsj.com/inflationtracker) - I scraped the oscars website and turned it into a datasette instance and ran the numbers on [best actress/best picture overlap ](https://www.wsj.com/livecoverage/oscars-academy-awards-2022/card/the-best-actress-nominees-aren-t-in-any-best-pictures-contenders-when-is-the-last-time-that-happened--mDxvbLug3rq84pxLE8gY) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1447050738 |