Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
I have requests that can be either service requests or information requests.
I have the following 3 measures to count them:
Nb Requests = CALCULATE(COUNT('311_Details'[DDS]))
Nb Service Requests = CALCULATE([Nb Requests];'311_Details'[Nature]<>"Information")
Nb Info Requests = CALCULATE([Nb Requests];'311_Details'[Nature]="Information")How come the data now shows as aggregated, instead of getting broken down by Nature.
The only change I made is to
What coud explain such a a behaviour?
Thanks
Solved! Go to Solution.
Nb Info Requests =
CALCULATE (
[Nb Requests];
FILTER ( '311_Details'; '311_Details'[Nature] = "Information" )
)
Nb Service Requests =
CALCULATE (
[Nb Requests];
FILTER ( '311_Details'; '311_Details'[Nature] <> "Information" )
)
The way you had originally written these they had an implied ALL function
FILTER ( ALL ( '311_Details'[Nature] )... => therefore ignoring any existing filter context!
http://www.sqlbi.com/articles/filter-arguments-in-calculate/
Change the 1st measure to
Nb Requests = COUNT ( '311_Details'[DDS] )
sorry about that.
I just applied that simplification but as expected it does not make a difference.
How do I get NB DDI to show 0 on all lines except information?
Nb Info Requests =
CALCULATE (
[Nb Requests];
FILTER ( '311_Details'; '311_Details'[Nature] = "Information" )
)
Nb Service Requests =
CALCULATE (
[Nb Requests];
FILTER ( '311_Details'; '311_Details'[Nature] <> "Information" )
)
The way you had originally written these they had an implied ALL function
FILTER ( ALL ( '311_Details'[Nature] )... => therefore ignoring any existing filter context!
http://www.sqlbi.com/articles/filter-arguments-in-calculate/
Thank you so much.
I had no idea that not using an explicit FILTER() function would actually result in using an implicit ALL() function.
The small tweak you recommended made all the difference.
Thanks again !
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 22 | |
| 22 | |
| 21 | |
| 19 | |
| 12 |
| User | Count |
|---|---|
| 58 | |
| 53 | |
| 41 | |
| 34 | |
| 32 |