VAR.S DAX Function (Statistical)
Estimates variance based on a sample. Ignores logical values and text in the sample.
Syntax
| Parameter | Attributes | Description |
|---|---|---|
| ColumnName |
A column that contains numeric values corresponding to a sample of a population. |
Return values
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]
)
» 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: Jun 10, 2023 » Contribute » Show contributors
Contributors: Alberto Ferrari, Marco Russo
Microsoft documentation: https://docs.microsoft.com/en-us/dax/var-s-function-dax