Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/9003#discussion_r42897835
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/functions.scala
---
@@ -930,3 +930,327 @@ object HyperLogLogPlusPlus {
)
// scalastyle:on
}
+
+/**
+ * A central moment is the expected value of a specified power of the
deviation of a random
+ * variable from the mean. Central moments are often used to characterize
the properties of about
+ * the shape of a distribution.
--- End diff --
This is not for the case when `n = 0` or `n =1` but when we have `null` or
`NaN` in the values. Are we ignoring them or outputting `NaN` directly?
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