| Excerpt |
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Generates the average value of rows in each group that meet a specific condition. Generated value is of Decimal type. |
| Info |
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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. |
To perform a simple averaging of rows without conditionals, use the AVERAGE function. See AVERAGE Function.
| D code |
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pivot value: AVERAGEIF(fineValue, finesCount >= 3) group:postal_code limit:1 |
Output: Generates a two-column table containing the unique values for postal_code and the average of the fineValue column for that postal_code value when the finesCount is greater than or equal to 3. The limit parameter defines the maximum number of output columns.
| D code |
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pivot value:AVERAGEIF(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 parameter, 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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