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 nowJuly 7 - July 17 | Round 2 of the Power BI Dataviz World Championships. Don't miss your chance! Learn more
Hi,
I am trying to make a dax measure that finds the difference between a product and its overall category (group), filtering by entire category and specific product. Below, is sample data, with the yellow column showing what I would like. I have made the following measures but they are not working. Any suggestions are welcome!
Entire Category % Vol Sales =
CALCULATE(
SUM('Table'[Volume Sales % Change vs YA]),
ALL('Table'[Entire Category])
)
Brand % Vol Sales =
CALCULATE(
SUM('Table'[Volume Sales % Change vs YA]),
ALL('Table'[Product])
)
Brand % Vol Sales minus Entire Category % Vol Sales =
[Brand % Vol Sales] - [Entire Category % Vol Sales]
Thanks!
Michaela
Solved! Go to Solution.
Hi @MichaelaMul
You can try thw following measure
% Difference =
VAR _volbyentirecate =
CALCULATE (
SUM ( 'Table'[% Vol Sales Change] ),
ALLSELECTED ( 'Table' ),
'Table'[Entire Category] = MAX ( 'Table'[Category] ),
'Table'[Manager] IN VALUES ( 'Table'[Manager] ),
'Table'[Time] IN VALUES ( 'Table'[Time] )
)
VAR _volbyproduct =
CALCULATE (
SUM ( 'Table'[% Vol Sales Change] ),
ALLSELECTED ( 'Table' ),
'Table'[Category] <> BLANK (),
'Table'[Product] IN VALUES ( 'Table'[Product] ),
'Table'[Manager] IN VALUES ( 'Table'[Manager] ),
'Table'[Time] IN VALUES ( 'Table'[Time] )
)
RETURN
IF (
MAX ( 'Table'[Category] ) <> BLANK (),
_volbyproduct - _volbyentirecate,
0
)
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
here's the sample data -
Hi @MichaelaMul
You can try thw following measure
% Difference =
VAR _volbyentirecate =
CALCULATE (
SUM ( 'Table'[% Vol Sales Change] ),
ALLSELECTED ( 'Table' ),
'Table'[Entire Category] = MAX ( 'Table'[Category] ),
'Table'[Manager] IN VALUES ( 'Table'[Manager] ),
'Table'[Time] IN VALUES ( 'Table'[Time] )
)
VAR _volbyproduct =
CALCULATE (
SUM ( 'Table'[% Vol Sales Change] ),
ALLSELECTED ( 'Table' ),
'Table'[Category] <> BLANK (),
'Table'[Product] IN VALUES ( 'Table'[Product] ),
'Table'[Manager] IN VALUES ( 'Table'[Manager] ),
'Table'[Time] IN VALUES ( 'Table'[Time] )
)
RETURN
IF (
MAX ( 'Table'[Category] ) <> BLANK (),
_volbyproduct - _volbyentirecate,
0
)
Output
Best Regards!
Yolo Zhu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
HI @MichaelaMul ,
Create two new columns in power query.
First column is Entire %
If [Entire Category <> null then [%Vol Sales Change] else null
Then fill down this new column.
Second Column Difference Between Product Group
If [Entire Category <> null then null else [Entire %] - [%Vol Sales Change]
Thanks
Hi @MichaelaMul ,
Could you please copy and paste data rather than image.
Thanks.
Join us in Barcelona for FabCon and SQLCon, the Fabric, Power BI, SQL, and AI community event. Save €200 with code FABCMTY200.
Join Data Days 2026: 60 days of free live/on-demand sessions, challenges, study groups, and certification opportunities.
| User | Count |
|---|---|
| 26 | |
| 23 | |
| 19 | |
| 18 | |
| 15 |
| User | Count |
|---|---|
| 46 | |
| 44 | |
| 43 | |
| 36 | |
| 31 |