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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.

datasette 107914493 issue    
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CREATE INDEX [idx_issues_milestone]
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CREATE INDEX [idx_issues_assignee]
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