[jira] [Commented] (BEAM-12550) Implement parallelizable skew and kurtosis

["Beam JIRA Bot (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-12550?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17413565#comment-17413565 ] 

Beam JIRA Bot commented on BEAM-12550:
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This issue was marked "stale-P2" and has not received a public comment in 14 days. It is now automatically moved to P3. If you are still affected by it, you can comment and move it back to P2.

> Implement parallelizable skew and kurtosis 
> -------------------------------------------
>
>                 Key: BEAM-12550
>                 URL: https://issues.apache.org/jira/browse/BEAM-12550
>             Project: Beam
>          Issue Type: Improvement
>          Components: dsl-dataframe
>            Reporter: Brian Hulette
>            Priority: P3
>
> skew and kurtosis should be parallelizable/lifftable by using a similar [approach as std and var|https://github.com/apache/beam/blob/a0f5e932d8a9aa491b16361abdc629b5e9a483f6/sdks/python/apache_beam/dataframe/frames.py#L1307-L1310]. See https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Higher-order_statistics
> which has information on extending that approach to calculating the third and fourth central moments, needed for skew and kurtosis.



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