This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreGet Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher 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,
Check out the May 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 25 | |
| 24 | |
| 22 | |
| 21 | |
| 19 |
| User | Count |
|---|---|
| 56 | |
| 52 | |
| 49 | |
| 25 | |
| 25 |