| Excerpt |
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Generates the count of distinct non-null values for rows in each group that meet a specific condition. |
| 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 counting of distinct non-nulls without conditionals, use the COUNTDISTINCT function. See COUNTDISTINCT Function.
| D code |
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pivot value: COUNTDISTINCTIF(entries, entryValidation == 'Ok') group:City limit:1 |
Output: Generates a two-column table containing the unique values for City and the count of distinct non-null values in the entries column for that City value when the entryValidation value is 'Ok'. The limit parameter defines the maximum number of output columns.
| D code |
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pivot value:COUNTDISTINCTIF(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 - Summarize Voter Registrations
| Include Page |
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| EXAMPLE - SUMIF and COUNTDISTINCTIF Functions |
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| EXAMPLE - SUMIF and COUNTDISTINCTIF Functions |
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