Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!
I have created a measure which calculate the efficiency per week by following formula:
1 - DIVIDE([Hour Spent],[Total available hours])
I have calculated week after week this, now I want the average of these values (13 week i.e. quarter 1) as a result.
| week | group | Hours Spent | Average of Capacity | Efficiency |
| 1 | sales | 214 | 1 | |
| 2 | sales | 4.5 | 552.5 | 0.991855 |
| 3 | sales | 10 | 712 | 0.985955 |
| 4 | sales | 10.5 | 659.5 | 0.984079 |
| 5 | sales | 20.5 | 734 | 0.972071 |
| 6 | sales | 25 | 776.75 | 0.967815 |
| 7 | sales | 32 | 622.5 | 0.948594 |
| 8 | sales | 25 | 493.75 | 0.949367 |
| 9 | sales | 4 | 653.25 | 0.993877 |
| 10 | sales | 11.5 | 715 | 0.983916 |
| 11 | sales | 9.5 | 1051.25 | 0.990963 |
| 12 | sales | 6.5 | 667.5 | 0.990262 |
| 13 | sales | 21.5 | 627.75 | 0.965751 |
| Total | 180.5 | 690.97 | 0.74 |
This is the table result of power bi desktop. As we can see at the bottom I am getting .74 , rather than this I am expecting the average of efficiency which should be .9788.
How can we get that value. please advise and help.
Solved! Go to Solution.
In this scenario, you should use calculated column rather than a measure. Then you just need to set the aggregate type into Average for that calculated column. See my sample below:
Regards,
In this scenario, you should use calculated column rather than a measure. Then you just need to set the aggregate type into Average for that calculated column. See my sample below:
Regards,
The Power BI Data Visualization World Championships is back! It's time to submit your entry.
| User | Count |
|---|---|
| 50 | |
| 43 | |
| 36 | |
| 33 | |
| 30 |
| User | Count |
|---|---|
| 138 | |
| 120 | |
| 60 | |
| 59 | |
| 56 |