`dataFrame.column.stat — kurtosis()`

Description

The kurtosis() method of the stat object returns the kurtosis of the values in the selected column.

Signature

dataFrame.column(columnName).stat.kurtosis({ estimator: 'sample', type: 'pearson' })

Scope: column
Family: stat
Returns: number

Argument

columnName (string): The column from which to compute the kurtosis.
options (object): Kurtosis calculation options.

Options

estimator (string)

The estimator used to compute kurtosis.

population
sample (default)

type (string)

The kurtosis definition to use.

fisher
pearson (default)

Returns

kurtosis (number): The kurtosis of the values in the selected column.

Notes

Pearson kurtosis is defined such that a normal distribution has a kurtosis of 3.
Fisher kurtosis (excess kurtosis) is defined such that a normal distribution has a kurtosis of 0.
The sample estimator applies a bias correction, whereas the population estimator does not.

Example

// get the kurtosis of values of a column of the dataFrame
var kurtosis = dataFrame.column('revenue').stat.kurtosis();

// log the kurtosis
notebook.log(kurtosis);