Generates the count of rows in each group that meet a specific condition. Generated value is of Integer type.
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 count of rows without conditionals, use the
COUNT function. See COUNT Function.
Output: Generates a two-column table containing the unique values for
postal_code and the count of records for that
postal_code value in which the value of the
failed_deliveries column is greater than or equal to 10. The
limit parameter defines the maximum number of output columns.
|test_expression||Y||string||Expression that is evaluated. Must resolve to |
For more information on syntax standards, see Language Documentation Syntax Notes.
For more information on the
limit parameters, see Pivot Transform.
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (
|Required?||Data Type||Example Value|
|Yes||String expression that evaluates to |
Example - COUNTIF Functions
This section provides simple examples for how to use the
COUNTIFA functions. These functions include the following:
COUNTIF- Count the number of values within a group that meet a specific condition. See COUNTIF Function.
COUNTAIF- Count the number of non-null values within a group that meet a specific condition. See COUNTAIF Function.
The following data identifies sales figures by salespeople for a week:
You are interested in the count of dates during the week when each salesperson sold less than 50 units, not factoring the weekend. First, you try the following:
You notice, however, that the blank values, when employees were sick or had vacation, are being counted. Additionally, this step does not filter out the weekend. You must identify the weekend days using the
DayOfWeek > 5, then it is a weekend date. For further precision, you can use the
COUNTAIF function to remove the nulls:
The above counts the non-null values in
Sales when the day of the week is not a weekend day, as grouped by individual employee.
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