kurtosis_y() | kurtosis_x()
Calculate the kurtosis from a two-dimensional statistical aggregate for the dimension specified
Since 1.3.0
Calculate the kurtosis from a two-dimensional statistical aggregate for the given dimension. For example, kurtosis_y()
calculates the kurtosis for all the values of the y variable, independent of values of the x variable. The kurtosis
is the fourth statistical moment. It is a measure of “tailedness” of a data distribution compared to a normal
distribution.
Samples
Section titled “Samples”Calculate the kurtosis of a sample containing the integers from 0 to 100:
SELECT kurtosis_y(stats_agg(data, data)) FROM generate_series(0, 100) data;This returns something like:
kurtosis_y----------1.78195Arguments
Section titled “Arguments”The syntax is:
kurtosis_y( summary StatsSummary2D, [ method TEXT ]) RETURNS DOUBLE PRECISIONkurtosis_x( summary StatsSummary2D, [ method TEXT ]) RETURNS DOUBLE PRECISION| Name | Type | Default | Required | Description |
|---|---|---|---|---|
| summary | StatsSummary2D | - | ✔ | The statistical aggregate produced by a stats_agg call |
| method | TEXT | sample | - | The method used for calculating the kurtosis. The two options are population and sample, which can be abbreviated to pop or samp |
Returns
Section titled “Returns”| Column | Type | Description |
|---|---|---|
| kurtosis_y | kurtosis_x | DOUBLE PRECISION |