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