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] |
Argument | Required? | Data Type | Description |
---|---|---|---|
function_col_ref | Y | string | Name of column to which to apply the function |
For more information on the group
and limit
parameters, see Pivot Transform.
Name of the column the values of which you want to calculate the variance. Column must contain Integer or Decimal values.
Required? | Data Type | Example Value |
---|---|---|
Yes | String (column reference) | myValues |