Computes the variance among all values in a column using the sample statistical method. Input column can be of Integer or Decimal. If no numeric values are detected in the input column, the function returns 0

The variance of a set of values attempts to measure the spread in values around the mean. A variance of zero means that all values are the same, and a small variance means that the values are closely bunched together. A high value for variance indicates that the numbers are spread out widely. Variance is always a positive value.

If a row contains a missing or null value, it is not factored into the calculation.

NOTE: This function applies to a sample of the entire population. More information is below.

In the following computation, the sample method computes variances with N - 1 as the divisor.

Var(X) = [Sum ((X - mean(X))2)] / (Count(X) - 1)

The square root of variance is standard deviation, which is used to measure variance under the assumption of a bell curve distribution. See STDEV Function.

For a version of this function computed over a rolling window of rows, see ROLLINGVAR Function.


Output: Returns the variance of the group of values from the myRating column using the sample method of calculation.

varsamp(col_ref) [group:group_col_ref] [limit:limit_count]

ArgumentRequired?Data TypeDescription
function_col_refYstringName of column to which to apply the function

For more information on the group and limit parameters, see Pivot Transform.


Name of the column whose values you wish to use in the calculation. Column must be a numeric (Integer or Decimal) type.

Required?Data TypeExample Value
YesString (column reference)myValues