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tian
Frequent Visitor

SUM By GROUP by Slicer

Hi Guys, I have data like this:

CompanyCategorySub-CategoryProduct Namesales
ACOMPFOOD1A1000
ACOMPFOOD1B1500
ACOMPFOOD1C2000
ACOMPFOOD2D3000
ACOMPRETAIL2E2000
ACOMPRETAIL2F1000
BCOMPRETAIL3G1000
BCOMPRETAIL3H5000
BCOMPSERVICE4I2500
BCOMPSERVICE4J1000


The case when I put the slicer based on Product name, the value also keep SUM of Product Name.

My Expectation result, when I put the slicer based on Product Name can show SUM of Group in a Card Visual, looks like:
Snag_28714774.png

Sorry for my explanation in Excel mode, that's to make it clear enough.

Does someone know how to this calculation in Dax

Thanks in advance for your help.


BR


1 ACCEPTED SOLUTION
v-rzhou-msft
Community Support
Community Support

Hi @tian 

I think you need to create an unrelated Product Name table. Then build a slicer by this table and create measures.

Product Name = VALUES('Table'[Product Name])

Measure codes:

% Sub-Category = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _SubCategory =
    CALCULATE (
        MAX ( 'Table'[Sub-Category] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Sub-Category] = _SubCategory )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )
% Category = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _Category =
    CALCULATE (
        MAX ( 'Table'[Category] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Category] = _Category )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )
% Company = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _Company =
    CALCULATE (
        MAX ( 'Table'[Company] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Company] = _Company )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )

Result is as below.

1.png

Best Regards,
Rico Zhou

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
v-rzhou-msft
Community Support
Community Support

Hi @tian 

I think you need to create an unrelated Product Name table. Then build a slicer by this table and create measures.

Product Name = VALUES('Table'[Product Name])

Measure codes:

% Sub-Category = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _SubCategory =
    CALCULATE (
        MAX ( 'Table'[Sub-Category] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Sub-Category] = _SubCategory )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )
% Category = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _Category =
    CALCULATE (
        MAX ( 'Table'[Category] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Category] = _Category )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )
% Company = 
VAR _SelectProductName =
    SELECTEDVALUE ( 'Product Name'[Product Name] )
VAR _Company =
    CALCULATE (
        MAX ( 'Table'[Company] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Product Name] = _SelectProductName )
    )
VAR _SalesbyGroup =
    CALCULATE (
        SUM ( 'Table'[sales] ),
        FILTER ( ALL ( 'Table' ), 'Table'[Company] = _Company )
    )
VAR _Total =
    CALCULATE ( SUM ( 'Table'[sales] ), ALL ( 'Table' ) )
RETURN
    DIVIDE ( _SalesbyGroup, _Total )

Result is as below.

1.png

Best Regards,
Rico Zhou

 

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

amitchandak
Super User
Super User

@tian , based on what I got

 

measure = divide(sum(Table[Sales]), calculate(sum(Table[Sales]), all(Table)))

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