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Contents:

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This section provides simple examples for how to use the ANYIF and LISTIF functions. These functions include the following:

  • ANYIF - Identifies a single value from a group that meets a specific condition. See ANYIF Function.
  • LISTAIF - Lists all values within a group that meet a specified condition. See LISTIF Function

Source:

The following data identifies sales figures by salespeople for a week:

EmployeeIdDateSales
S0011/23/1725
S0021/23/1740
S0031/23/1748
S0011/24/1781
S0021/24/1711
S0031/24/1725
S0011/25/179
S0021/25/1740
S0031/25/17 
S0011/26/1777
S0021/26/1783
S0031/26/17 
S0011/27/1717
S0021/27/1771
S0031/27/1729
S0011/28/17 
S0021/28/17 
S0031/28/1714
S0011/29/172
S0021/29/177
S0031/29/1799

 

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 New formula
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 Pivot columns
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 Pivot columns
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:

EmployeeIdDatelistif_Sales
S0011/23/1725
S0021/23/1740
S0031/23/1748
S0011/24/1781
S0021/24/1711
S0031/24/1725
S0011/25/1740
S0021/25/17 
S0031/25/1766 
S0011/26/1777
S0021/26/1783
S0031/26/17 
S0011/27/1717
S0021/27/1771
S0031/27/1729
S0011/28/17 
S0021/28/17 
S0031/28/17 
S0011/29/17 
S0021/29/17 
S0031/29/17 

 

 

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