Computes the standard deviation across all column values of Integer or Decimal type.

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

Standard deviation comes in two flavors:

If a row contains a missing or null value, it is not factored into the calculation. If no numeric values are detected in the input column, the function returns 0 .

The square of standard deviation is variance. See VAR Function.

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

pivot value:STDEV(myRating) group: postal_code limit:1

Output: Generates a two-column table containing the unique values from the postal_code column and the standard deviation of the group of values from the myRating column for the postal_code value. The limit parameter defines the maximum number of output columns.

pivot value:STDEV(function_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.

function_col_ref

Name of the column the values of which you want to calculate the variance. Column must contain Integer or Decimal values.

Required?Data TypeExample Value
YesString (column reference)myValues