issue_comments: 482865424

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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/427#issuecomment-482865424 https://api.github.com/repos/simonw/datasette/issues/427 482865424 MDEyOklzc3VlQ29tbWVudDQ4Mjg2NTQyNA== 9599 2019-04-13T18:56:25Z 2019-04-13T19:42:08Z OWNER

I think there's a Facet base class.

class ColumnFacet(Facet): is the default behaviour we have today

class ArrayFacet(Facet): facet by JSON array

class ManyToManyFacet(Facet): facet by M2M table

class DateFacet(Facet): facet by date

class DateTimeFacet(Facet): facet by datetime

class EmojiFacet(Facet): super-fun demo plugin I have planned

Could even have a facet against a numerical column which loads the entire set of column values into numpy or pandas and calculates complex statistics facets in memory .

There’s actually a lot of potential for Datasette plugins that load several MBs of data and analyze using other Python libraries.

 
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