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COUNTIF Function

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 thefailed_deliveriescolumn 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')

Examples

Tip

For additional examples, see Common Tasks.

Example - COUNTIF Functions

This example demonstrates how to count the number of values within a group, based on a specified conditional test.

Functions:

Item

Description

COUNTIF Function

Generates the count of rows in each group that meet a specific condition. Generated value is of Integer type.

COUNTAIF Function

Generates the count of non-null values for rows in each group that meet a specific condition.

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