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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
Hi!
I am sure this is an easy one but I don't get how to get this right.
Consider the visualisations and the data below. For Month 1, the totalt hours is 12 which equals 4 hrs per person. However the average is calculated as 3 since there are 2 rows for Jack, hence 12/4=3 I guess. For month 2 the average is calculated correctly as 15/3 as there are only one row per person and month. How can I get an average for the total time for month 1, eg. 4 hrs per person?
Solved! Go to Solution.
Hi @Fredrik,
You need to make the calculation considering only distinct values something like this:
Average hours = DIVIDE ( SUM ( Table[Hours] ); DISTINCTCOUNT ( Table[Name] ) )
Based on context it will give you the Hours divided by number of unique users.
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @Fredrik,
You need to make the calculation considering only distinct values something like this:
Average hours = DIVIDE ( SUM ( Table[Hours] ); DISTINCTCOUNT ( Table[Name] ) )
Based on context it will give you the Hours divided by number of unique users.
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi MFelix!
Thanks, that works like a charm. I thought it would be easier though. This appears to me as to be a very common scenario.
To get the average to respect the filter selected for week I need to add
Average hours = DIVIDE( DIVIDE ( SUM ( Table1[Hrs]); DISTINCTCOUNT ( Table1[Name] ) ); COUNTROWS(FILTERS('Table1'[Month])))
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 57 | |
| 53 | |
| 42 | |
| 16 | |
| 16 |
| User | Count |
|---|---|
| 112 | |
| 106 | |
| 39 | |
| 36 | |
| 27 |