Return filtered column if any in a measure as a variable

[Anonymous]

Hello everyone

I am trying to create a one-size-fits-all measure for multiple tables, but I got stuck somewhere.

Below is a dummy case:

Raw Data

Year	Store	Product	Location	Revenue
1/1/2019	A	Ice Cream	New York	$           500
1/1/2019	A	Beer	New York	$           500
1/1/2019	B	Ice Cream	Little Rock	$           100
1/1/2019	B	Beer	Little Rock	$           500
1/1/2019	B	Chips	Little Rock	$           450
1/1/2019	C	Ice Cream	Denver	$           300
1/1/2019	C	Beer	Denver	$           600
1/1/2019	C	Pizza	Denver	$        1,000
1/1/2019	C	Chips	Denver	$           200
1/1/2020	A	Ice Cream	New York	$           350
1/1/2020	A	Beer	New York	$           450
1/1/2020	A	Chips	New York	$        1,000
1/1/2020	B	Ice Cream	Little Rock	$           200
1/1/2020	B	Beer	Little Rock	$           500
1/1/2020	B	Pizza	Little Rock	$           450
1/1/2020	B	Chips	Little Rock	$           350
1/1/2020	C	Beer	Denver	$           200
1/1/2020	C	Chips	Denver	$           100

To get the difference/ change between the revenue mix of 2019 and 2020, I created a measure "Diff_Mix_btw_Years_Store"

Diff_Mix_btw_Years_Store =

var _current_mix_ = DIVIDE(SUM(Store[Revenue]),CALCULATE(SUM(Store[Revenue]),ALL(Store[Store])))

var _previous_mix_ = DIVIDE(CALCULATE(SUM(Store[Revenue]),DATEADD(Store[Year].[Date],-1,YEAR)),CALCULATE(SUM(Store[Revenue]),DATEADD(Store[Year].[Date],-1,YEAR),ALL(Store[Store])))

return

CONCATENATE(FIXED((_current_mix_ - _previous_mix_)*100,1)," pts")

I returned what I need (B-A)

However, if I want to get the B-A value after replacing the row filter with either "product" or "location", I will have to create new measures and replace the Store[Store] in the above measure with Store[Product] or Store[Location]

Like this:

Diff_Mix_btw_Years_Product =

var _current_mix_ = DIVIDE(SUM(Store[Revenue]),CALCULATE(SUM(Store[Revenue]),ALL(Store[Product])))

var _previous_mix_ = DIVIDE(CALCULATE(SUM(Store[Revenue]),DATEADD(Store[Year].[Date],-1,YEAR)),CALCULATE(SUM(Store[Revenue]),DATEADD(Store[Year].[Date],-1,YEAR),ALL(Store[Product])))

return

CONCATENATE(FIXED((_current_mix_ - _previous_mix_)*100,1)," pts")

Is there any way to create one and the only measure that can return the result (B-A) for any row filter that users may apply? In this case, they are Store[Store] , Store[Product] or Store[Location].

I do not know if there is any DAX that can detect which column is used as a row filter and send to ALL( ) as a variable.

Please kindly help, thank you!

[v-janeyg-msft · Accepted solution]

Hi, @Anonymous 

According to your description, I think you can simply modify your measure.

Like this:

measure =
VAR _current_mix_ =
    DIVIDE (
        SUM ( Store[Revenue] ),
        CALCULATE (
            SUM ( Store[Revenue] ),
            ALL ( Store[Store] ),
            ALL ( Store[Product] )
        )
    )
VAR _previous_mix_ =
    DIVIDE (
        CALCULATE ( SUM ( Store[Revenue] ), DATEADD ( Store[Year].[Date], -1, YEAR ) ),
        CALCULATE (
            SUM ( Store[Revenue] ),
            DATEADD ( Store[Year].[Date], -1, YEAR ),
            ALL ( Store[Store] ),
            ALL ( Store[Product] )
        )
    )
RETURN
    CONCATENATE ( FIXED ( ( _current_mix_ - _previous_mix_ ) * 100, 1 ), " pts" )

If it doesn’t solve your problem, please feel free to ask me.

Best Regards

Janey Guo

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