Excerpt |
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This example demonstrates how to count the number of values within a group, based on a specified conditional test. |
Functions:
D generate list excerpts | ||
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Source:
The following data identifies sales figures by salespeople for a week:
EmployeeId | Date | Sales |
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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:
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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:
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If DayOfWeek > 5
, then it is a weekend date. For further precision, you can use the COUNTAIF
function to remove the nulls:
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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 |
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S001 | 5 |
S002 | 4 |
S003 | 4 |
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