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!
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 !
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 | |
| 52 | |
| 40 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 116 | |
| 105 | |
| 41 | |
| 34 | |
| 25 |