| Excerpt |
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Generates the standard deviation of values by group in a column that meet a specific condition. |
| Info |
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NOTE: When added to a transform, this function is applied to the sample in the data grid. 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. |
For more information on how the platform calculates standard deviation, see STDEV Function.
| D code |
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pivot value: STDEVIF(testScores, testScores > 0) group:studentId limit:1 |
Output: Generates a two-column table containing the unique values for studentId and the standard deviation of the testScores column for that studentId value when the testScores value is greater than 0. The limit parameter defines the maximum number of output columns.
| D code |
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pivot value:STDEVIF(col_ref, test_expression) [group:group_col_ref] [limit:limit_count] |
| Argument | Required? | Data Type | Description |
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| 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.
col_ref
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 |
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| Yes | String that corresponds to the name of the column | myValues |
test_expression
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true or false) value.
| Required? | Data Type | Example Value |
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| Yes | String expression that evaluates to true or false | (LastName == 'Mouse' && FirstName == 'Mickey') |
Example - Conditional Calculation Functions
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| EXAMPLE - Conditional Calculations Functions |
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| EXAMPLE - Conditional Calculations Functions |
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