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Hello,
I have one table containing prices of several webshops for different products within different product categories. I would like to present the price difference between a selected webshop and the other webshops.
Date | Webshop | Category | Product | Price |
01/01/2021 | A | Cat A | Product A | 10 |
01/02/2021 | A | Cat A | Product A | 10 |
01/01/2021 | A | Cat B | Product B | 15 |
01/01/2021 | B | Cat A | Product A | 9 |
01/01/2021 | B | Cat B | Product A | 9 |
01/01/2021 | B | Cat B | Product B | 12 |
01/01/2021 | C | Cat A | Cat | 6 |
My preferred output table looks like:
Date | Product | Cat | Webshop A | Webshop B | Webshop C |
01/01/2021 | A | A | 0 | 1 | 4 |
01/01/2021 | B | A | 0 | 3 | - |
And changes depending on the filter on the webshop. Any suggestions how to solve this in DAX?
Thanks a lot for your help !
Michiel
Solved! Go to Solution.
@Michieldo , With an independent table for Webshop slicer
try a measure like
sum(Table[Price]) - sumx(filter(allselected(Table[Webshop]), Table[Webshop] = Selectedvalue(Webshop[Webshop])),[Price])
Hi @Michieldo ,
Could you please provide the related caculation logic of your preferred output? Why Webshop A is 0 , Webshop B is 1 and 3 for Product A and B separately and Webshop C is 4 for Product A base on your sample data?
Date Product Cat Webshop A Webshop B Webshop C 01/01/2021 A A 0 1 4 01/01/2021 B A 0 3 -
Best Regards
@Michieldo , With an independent table for Webshop slicer
try a measure like
sum(Table[Price]) - sumx(filter(allselected(Table[Webshop]), Table[Webshop] = Selectedvalue(Webshop[Webshop])),[Price])
Thanks, almost perfect! Allselected didn't work for me, but using Allexcept() in combination with the columns on which I did want to keep the filters on worked.
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