Advance your Data & AI career with 50 days of live learning, dataviz contests, hands-on challenges, study groups & certifications and more!
Get registeredGet Fabric Certified for FREE during Fabric Data Days. 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.
 
					
				
				
			
		
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
Check out the October 2025 Power BI update to learn about new features.
 
            | User | Count | 
|---|---|
| 80 | |
| 49 | |
| 35 | |
| 31 | |
| 30 |