VAR.S DAX Function (Statistical)

Estimates variance based on a sample. Ignores logical values and text in the sample.

Syntax

VAR.S ( <ColumnName> )
Parameter Attributes Description
ColumnName

A column that contains numeric values corresponding to a sample of a population.

Return values

Scalar A single decimal value.

A number that represents the variance of a sample population.

Remarks

VAR.S assumes that the column refers to a sample of the population.

To compute the variance with the entire population, use VAR.P.

The VAR.S function internally executes VARX.S, without any performance difference.
The following VAR.S call:

VAR.S ( table[column] )

corresponds to the following VARX.S call:

VARX.S (
    table,
    table[column]
)
» 1 related article
» 3 related functions

Examples

--  Computes the variance over a table of values
--
--  VAR.P : variance over the entire population
--  VAR.S : variance over a sample of the entire population
--
--  VARX is an iterator, VAR is the simplified version in case
--  you are using a single column
DEFINE
    TABLE SampleData = { 2, 4, 4, 4, 5, 5, 7, 9 }
EVALUATE
{
     ( "VAR.P",  VAR.P ( SampleData[Value] ) ),
     ( "VAR.S",  VAR.S ( SampleData[Value] ) ),
     ( "VARX.P", VARX.P ( SampleData, SampleData[Value] ) ),
     ( "VARX.S", VARX.S ( SampleData, SampleData[Value] ) ),
     ( "VARX.P", VARX.P ( Sales, Sales[Quantity] * Sales[Net Price] ) ),
     ( "VARX.S", VARX.S ( Sales, Sales[Quantity] * Sales[Net Price] ) )
}

-- The STDEV.S over SampleData is very different from STDEV.P because the 
-- set is small (8 rows for the population, 8 rows for the sample)
-- When applied to Sales, the difference is smaller because
-- the set used has 100,000 rows

Value1 Value2
VAR.P 4.00
VAR.S 4.57
VARX.P 4.00
VARX.S 4.57
VARX.P 346,327.15
VARX.S 346,330.61

Related articles

Learn more about VAR.S in the following articles:

  • Statistical Patterns

    DAX includes a few statistical aggregation functions, such as average, variance, and standard deviation. Other typical statistical calculations require you to write longer DAX expressions. Excel, from this point of view, has a much richer language. The Statistical Patterns are a collection of common statistical calculations: median, mode, moving average, percentile, and quartile. » Read more

Related functions

Other related functions are:

Last update: Dec 4, 2024   » Contribute   » Show contributors

Contributors: Alberto Ferrari, Marco Russo

Microsoft documentation: https://docs.microsoft.com/en-us/dax/var-s-function-dax

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Context Transition

This function performs a Context Transition if called in a Row Context. Click to read more.

Row Context

This expression is executed in a Row Context. Click to read more.

Iterator

Not recommended

The use of this function is not recommended. See Remarks and Related functions for alternatives.

Not recommended

The use of this parameter is not recommended.

Deprecated

This function is deprecated. Jump to the Alternatives section to see the function to use.

Volatile

A volatile function may return a different result every time you call it, even if you provide the same arguments. Click to read more.

Deprecated

This parameter is deprecated and its use is not recommended.

DirectQuery compatibility

Limitations are placed on DAX expressions allowed in measures and calculated columns.
The state below shows the DirectQuery compatibility of the DAX function.

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