Calculate Kurtosis

Computes the tailedness or peakedness in each row and column.

Input

Other Calculations

Output

Table Statistic?

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Computes the tailedness or peakedness in each row and 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.

Identifies the heaviness of data distribution tails, helps in recognizing outlier sensitivity.

Microsoft Excel: KURT
Google Sheets: KURT
Apple Numbers: KURT
Python Pandas: df['column_name'].kurt()
Related Words: calculate kurtosis, find kurtosis

This is normal for a web based application. We recommend uploading data up to 6000 columns and rows. If you encounter lag, you can reduce the sheet size.

There is a fullscreen button on the top right side of the input table. You can also download the table offline to edit with excel which has bigger screen sizes.

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Table Statistic?

Any Questions?

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