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I have a simple single table dataset which has columns for Customer, Product, and Sales. I want to compare customers head to head based on sales for different products.
What I've tried so far: I duplicated the Name column twice (to form Name1 and Name2), and have a slicer based on each that are set to ignore each other.
I'm struggling to create measures to sum sales based on those slicers. This is what I tried:
SalesPick1 = if(HASONEVALUE('Table'[Name1]), CALCULATE(sum('Table'[Sales]), REMOVEFILTERS('Table'[Name2])))
SalesPick2 = if(HASONEVALUE('Table'[Name2]), CALCULATE(sum('Table'[Sales]), REMOVEFILTERS('Table'[Name1])))
Then I have a matrix with rows based on Product, and two value columns, Salespick1 and Salespick2. If I select a name from one of the slicers and leave the other blank, the columns work. If I select different values for the two slicers, I get no data in my matrix.
I want this:
Product Sales for Pick1 Sales for Pick2
A x1 y1
B x2 y2
C x3 y3
Solved! Go to Solution.
Hi @Brotedo
these two columns should be two single column tables. Create inactive relationship between each of these tables with the original column in the original table. Then you can use CALCULATE with USERELATIONSHIP to activate the desired relationship for each measure or variable.
Hi @Brotedo
these two columns should be two single column tables. Create inactive relationship between each of these tables with the original column in the original table. Then you can use CALCULATE with USERELATIONSHIP to activate the desired relationship for each measure or variable.
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