issues
1 row where state = "open", "updated_at" is on date 2019-06-24 and user = 9599 sorted by updated_at descending
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 460095928 | MDU6SXNzdWU0NjAwOTU5Mjg= | 528 | Establish a pattern for Datasette plugins built on top of Pandas | simonw 9599 | open | 0 | 0 | 2019-06-24T21:05:52Z | 2019-06-24T21:05:52Z | OWNER | The Pandas ecosystem is huge, varied and full of tools that are really good at doing interesting analysis on top of tabular data. Pandas should not be a dependency of Datasette core, but I think there is a lot of potential in having plugins which use Pandas to apply interesting analysis to data sucked out of Datasette's SQLite tables. One example (thanks, Tony): https://github.com/ResidentMario/missingno could form the basis of a fantastic plugin for getting a high-level overview of how complete each column in a table is. Some thought is needed here about what shape these kind of plugins might take, and what plugin hooks they would use. |
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