# How does StatsBase.skewness work?

**URL:** https://discourse.julialang.org/t/how-does-statsbase-skewness-work/20146
**Category:** Data
**Created:** [January 27, 2019, 12:51pm UTC](https://discourse.julialang.org/t/how-does-statsbase-skewness-work/20146 "2019-01-27T12:51:12Z")
**Posts on this page:** 1
**Showing post:** 28

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### Author: ![nalimilan](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nalimilan/32/147_2.png) [@nalimilan](https://discourse.julialang.org/u/nalimilan)
#### Post date: [January 29, 2019, 8:36pm UTC](https://discourse.julialang.org/t/how-does-statsbase-skewness-work/20146/28 "2019-01-29T20:36:35Z")

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> [@matthieu](#):
>
> one can have a DataFrames of SkipMissingArrays, etc.

That would only be possible if all columns had the same number of missing values, or they wouldn’t have the same length.

Anyway `skipmissing` already returns a `SkipMissing` object for which special methods can be defined (which is already used a lot for reductions in Base). As [I noted](https://discourse.julialang.org/t/how-to-calculate-a-weighted-mean-with-missing-observations/19281/9) in the thread about the weighted mean, this could perfectly be used there.

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