`dataFrame.column.stat — variationCoef()`

Description

The variationCoef() method of the stat object returns the coefficient of variation of the values in the selected column.

Signature

dataFrame.column(columnName).stat.variationCoef({ estimator: 'sample' })

Scope: column
Family: stat
Returns: number

Argument

columnName (string): The name of the column from which to compute the coefficient of variation.
options (object): Coefficient of variation calculation options.

Option

estimator (string)

The estimator used to compute the coefficient of variation.

population
sample (default)
robust

Returns

coef (number): The coefficient of variation of the values in the selected column.

Notes

The coefficient of variation is a normalized measure of dispersion relative to the central tendency of the data.
The population estimator uses the population standard deviation.
The sample estimator uses the sample standard deviation.
The robust estimator uses robust measures of central tendency and dispersion to reduce the influence of outliers.

Example

// get the coefficient of variation of the values of a column of the dataFrame
var coef = dataFrame.column('revenue').stat.variationCoef();

// log the coefficient of variation
notebook.log(coef);