Forum Discussion
How to create average formule based on different data
Hi guys
I've got tricky question about creating new Average formule. I would like to create formula which will show average of days from specyfic tasks. Tasks should be calculated as for example: task 1 is typed twice so sum of this task equals 12, task 2 lasts 3 days, task 4 lasts 7 days.
Task days
1 4
1 8
2 3
3 7
- Anonymous2 years ago
Hi Dcichy ,
May I ask if your problem has been solved. If the above reply was helpful, you may consider marking it as solution. If the problem is not yet solved, you can follow the steps below:
Add new measure:
result = VAR _total = CALCULATE ( SUM ( 'Table'[days] ), FILTER ( ALL ( 'Table' ), 'Table'[Task] = SELECTEDVALUE ( 'Table'[Task] ) ) ) VAR _count = CALCULATE ( COUNTROWS ( 'Table' ), FILTER ( ALL ( 'Table' ), 'Table'[Task] = SELECTEDVALUE ( 'Table'[Task] ) ) ) RETURN _total / _countFinal output:
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If it does not help, please provide more details with your desired out put and pbix file without privacy information.
Best Regards,
Ada Wang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
6 Replies
- ryan_mayuSuper User
not clear about this. You want the average. Thne you said for task 1 the sum is 12. Then what's the expected output?
- AnonymousNot applicable
Hi Dcichy ,
May I ask if your problem has been solved. If the above reply was helpful, you may consider marking it as solution. If the problem is not yet solved, you can follow the steps below:
Add new measure:
result = VAR _total = CALCULATE ( SUM ( 'Table'[days] ), FILTER ( ALL ( 'Table' ), 'Table'[Task] = SELECTEDVALUE ( 'Table'[Task] ) ) ) VAR _count = CALCULATE ( COUNTROWS ( 'Table' ), FILTER ( ALL ( 'Table' ), 'Table'[Task] = SELECTEDVALUE ( 'Table'[Task] ) ) ) RETURN _total / _countFinal output:
How to Get Your Question Answered Quickly - Microsoft Fabric Community
If it does not help, please provide more details with your desired out put and pbix file without privacy information.
Best Regards,
Ada Wang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly