atoti.agg.std()#

atoti.agg.std(operand: LevelOrVariableColumnConvertible, /, *, mode: Literal['sample', 'population'] = 'sample') → MeasureDescription#
atoti.agg.std(operand: VariableMeasureConvertible, /, *, mode: Literal['sample', 'population'] = 'sample', scope: CumulativeScope | SiblingsScope | OriginScope) → MeasureDescription

Return a measure equal to the standard deviation of the passed operand across the specified scope.

Parameters:

  • operand – The operand to get the standard deviation of.

  • mode –

    One of the supported modes:

    • The sample standard deviation, similar to Excel’s STDEV.S, is \(\sqrt{\frac{\sum_{i=1}^{n} (X_i - m)^{2}}{n - 1}}\) where m is the sample mean and n the size of the sample. Use this mode if the data represents a sample of the population.

    • The population standard deviation, similar to Excel’s STDEV.P is \(\sqrt{\frac{\sum_{i=1}^{n}(X_i - m)^{2}}{n}}\) where m is the mean of the Xi elements and n the size of the population. Use this mode if the data represents the entire population.

  • scope – The aggregation scope.