Forum Discussion
Grouping calculated measures
Hello,
I am trying to create a calculated measure that takes the sum of a consumer action and divides it by the unique number of consumers in a group, with the ability to track it by week and by action and to filter by a group with the measure automatically updating. I've had a bit of trouble with it so I wanted to see if it's possible.
An example of what this measure would look like is as follows:
Group 1
| A. Week # | B. Action | C. Sum of actions by group 1 in week # | D. Number of unique group 1 consumers in week # | E. Final measure (C/D) |
| 1 | Kicking | 10 | 5 | 2 |
| 1 | Passing | 15 | 5 | 3 |
| 2 | Coloring | 12 | 6 | 2 |
| 2 | Drawing | 24 | 6 | 4 |
Group 2
| A. Week # | B. Action | C. Sum of actions by group 2 in week # | D. Number of unique group 2 consumers in week # | E. Final measure (C/D) |
| 1 | Kicking | 10 | 2 | 5 |
| 1 | Passing | 4 | 2 | 2 |
| 2 | Kicking | 20 | 4 | 5 |
| 2 | Drawing | 12 | 4 | 3 |
Hi Anonymous ,
I created some data:
Here are the steps you can follow：
1. Create calculated column.
B.Week = WEEKNUM('Group_Table'[Date],2 )2. Create measure.
Sum of actions by group 1 in week = CALCULATE(SUM('Group_Table'[amount]),FILTER(ALL(Group_Table),'Group_Table'[Group]=MAX('Group_Table'[Group])&&'Group_Table'[B.Week]=MAX('Group_Table'[B.Week])&&'Group_Table'[Action]=MAX('Group_Table'[Action])))Number of unique group 1 consumers in week = CALCULATE(DISTINCTCOUNT('Group_Table'[Date]), FILTER(ALL('Group_Table'), 'Group_Table'[Group]=MAX('Group_Table'[Group])&&'Group_Table'[Action]=MAX('Group_Table'[Action])))Final measure (C/D) = DIVIDE([C. Sum of actions by group 1 in week],[D. Number of unique group 1 consumers in week])3. Use [group] as the slicer.
4. Result:
When selecting group =1:
When selecting group =2:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
2 Replies
Hi Anonymous
Can you post sample data as text and expected output?
Not enough information to go on;
please see this post regarding How to Get Your Question Answered Quickly:
https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
The most important parts are:
1. Sample data as text, use the table tool in the editing bar
2. Expected output from sample data
3. Explanation in words of how to get from 1. to 2.
4. Relation between your tables
Appreciate your Kudos!!
LinkedIn:www.linkedin.com/in/vahid-dm/Hi Anonymous ,
I created some data:
Here are the steps you can follow：
1. Create calculated column.
B.Week = WEEKNUM('Group_Table'[Date],2 )2. Create measure.
Sum of actions by group 1 in week = CALCULATE(SUM('Group_Table'[amount]),FILTER(ALL(Group_Table),'Group_Table'[Group]=MAX('Group_Table'[Group])&&'Group_Table'[B.Week]=MAX('Group_Table'[B.Week])&&'Group_Table'[Action]=MAX('Group_Table'[Action])))Number of unique group 1 consumers in week = CALCULATE(DISTINCTCOUNT('Group_Table'[Date]), FILTER(ALL('Group_Table'), 'Group_Table'[Group]=MAX('Group_Table'[Group])&&'Group_Table'[Action]=MAX('Group_Table'[Action])))Final measure (C/D) = DIVIDE([C. Sum of actions by group 1 in week],[D. Number of unique group 1 consumers in week])3. Use [group] as the slicer.
4. Result:
When selecting group =1:
When selecting group =2:
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
