EXAMPLE - LISTIF Functions
This example illustrates you to identify and list all values within a group that meet a specified condition.
Functions:
Item | Description |
---|---|
ANYIF Function | Selects a single non-null value from rows in each group that meet a specific condition. |
LISTIF Function | Returns list of all values in a column for rows that match a specified condition. |
WEEKDAY Function | Derives the numeric value for the day of the week ( |
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:
In this example, you are interested in the high performers. A good day in sales is one in which an individual sells more than 80 units. First, you want to identify the day of week:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | WEEKDAY(Date) |
Parameter: New column name | 'DayOfWeek' |
Values greater than 5 in DayOfWeek
are weekend dates. You can use the following to identify if anyone reached this highwater marker during the workweek (non-weekend):
Transformation Name | |
---|---|
Parameter: Rows labels | EmployeeId,Date |
Parameter: Values | ANYIF(Sales, (Sales > 80 && DayOfWeek < 6)) |
Parameter: Max number of columns to create | 1 |
Before adding the step to the recipe, you take note of the individuals who reached this mark in the anyif_Sales
column for special recognition.
Now, you want to find out sales for individuals during the week. You can use the following to filter the data to show only for weekdays:
Transformation Name | |
---|---|
Parameter: Rows labels | EmployeeId,Date |
Parameter: Values | LISTIF(Sales, 1000, (DayOfWeek < 6)) |
Parameter: Max number of columns to create | 1 |
To clean up, you might select and replace the following values in the listif_Sales column with empty strings:
[" "] []
Results:
EmployeeId | Date | listif_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 | 40 |
S002 | 1/25/17 | |
S003 | 1/25/17 | 66 |
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 | |
S001 | 1/29/17 | |
S002 | 1/29/17 | |
S003 | 1/29/17 |