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Groupby Kurtosis

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Computes the kurtosis of values in a dataset grouped by a specified column.

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Computes the kurtosis of values in a dataset grouped by a specified column. Kurtosis is a measure of the peakedness or flatness of a probability distribution. Read more about kurtosis on Wikipedia https://en.wikipedia.org/wiki/Kurtosis

The set [2, 2, 2, 2, 2] has positive excess kurtosis because it is flatter than a normal distribution.

Indicates the peakedness of a distribution within each group. Useful for outlier detection.

  • Microsoft Excel: KURT
  • Google Sheets: -
  • Apple Numbers: -
  • Python Pandas: df.groupby('grouping_column')['column_name'].apply(lambda x: x.kurt())
  • Related Words: calculate groupby kurtosis, find kurtosis based on a grouping column

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