Generates the variance of values by group in a column that meet a specific condition using the sample statistical method. |
NOTE: When added to a transform, this function is applied to the current sample. If you change your sample or run the job, the computed values for this function are updated. Transforms that change the number of rows in subsequent recipe steps do not affect the values computed for this step. |
NOTE: This function applies to a sample of the entire population. More information is below. |
For more information on how the platform calculates variance, see VAR Function.
varsampif(testScores, ((testScores > 0) && (testScores < 90))) |
Output: Returns the variance of the testScores column when the testScores value is between 0 and 90 using the sample method of calculation.
varsampif(col_ref, test_expression) [group:group_col_ref] [limit:limit_count] |
| Argument | Required? | Data Type | Description |
|---|---|---|---|
| col_ref | Y | string | Reference to the column you wish to evaluate. |
| test_expression | Y | string | Expression that is evaluated. Must resolve to true or false |
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 Type | Example Value |
|---|---|---|
| Yes | String that corresponds to the name of the column | myValues |
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true or false) value.
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | String expression that evaluates to true or false | (LastName == 'Mouse' && FirstName == 'Mickey')
|