Generates the count of rows in each group that meet a specific condition. Generated value is of Integer type.
NOTE: When added to a transformation, 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. Transformations 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.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Basic Usage
countif(failed_deliveries >= 10)
Output: Returns the count of records in which the value of the failed_deliveries column is greater than or equal to 10.
Syntax and Arguments
countif(test_expression) [group:group_col_ref] [limit:limit_count]
| Argument | Required? | Data Type | Description |
|---|---|---|---|
| test_expression | Y | string | Expression that is evaluated. Must resolve to true or false |
For more information on syntax standards, see Language Documentation Syntax Notes.
For more information on the group and limit parameters, see Pivot Transform.
test_expression
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true or false) value.
Usage Notes:
| Required? | Data Type | Example Value |
|---|---|---|
| Yes | String expression that evaluates to true or false | (LastName == 'Mouse' && FirstName == 'Mickey')
|
Tip: For additional examples, see Common Tasks.
Examples
Example - COUNTIF Functions
COUNTIF and 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.
Source:
The following data identifies sales figures by salespeople for a week:
| EmployeeId | Date | Sales |
|---|---|---|
| S001 | 1/23/17 | 25 |
| S002 | 1/23/17 | 40 |
| S003 | 1/23/17 | 48 |
| S001 | 1/24/17 | 81 |
| S002 | 1/24/17 | 11 |
| S003 | 1/24/17 | 25 |
| S001 | 1/25/17 | 9 |
| S002 | 1/25/17 | 40 |
| S003 | 1/25/17 | |
| S001 | 1/26/17 | 77 |
| S002 | 1/26/17 | 83 |
| S003 | 1/26/17 | |
| S001 | 1/27/17 | 17 |
| S002 | 1/27/17 | 71 |
| S003 | 1/27/17 | 29 |
| S001 | 1/28/17 | |
| S002 | 1/28/17 | |
| S003 | 1/28/17 | 14 |
| S001 | 1/29/17 | 2 |
| S002 | 1/29/17 | 7 |
| S003 | 1/29/17 | 99 |
Transformation:
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:
| Transformation Name | Pivot columns |
|---|---|
| Parameter: Row labels | EmployeeId |
| Parameter: Values | COUNTIF(Sales < 50) |
| Parameter: Max columns to create | 1 |
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 WEEKDAY function:
| Transformation Name | New formula |
|---|---|
| Parameter: Formula type | Single row formula |
| Parameter: Formula | WEEKDAY(Date) |
| Parameter: New column name | 'DayOfWeek' |
If DayOfWeek > 5, then it is a weekend date. For further precision, you can use the COUNTAIF function to remove the nulls:
| Transformation Name | Pivot columns |
|---|---|
| Parameter: Row labels | EmployeeId |
| Parameter: Values | COUNTAIF(Sales, DayOfWeek<6) |
| Parameter: Max columns to create | 1 |
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.
Results:
| EmployeeId | countaif_Sales |
|---|---|
| S001 | 5 |
| S002 | 4 |
| S003 | 4 |
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