How to change values based on the slicer selection using DAX

[Anonymous]

Product	Date	QuantityDemand
A	1/05/2019	58
A	18/03/2019	24
B	2/04/2020	52
C	7/05/2021	63
C	2/05/2021	100
A	3/10/2020	63

I have a data set that looks like the above and I want to create a what-if scenario and change the values of quantity demand based on the Product selection of slicer. For instance, if someone selects A, the Quantity demand for Product A must be set to zero and calculate the total Quantity demand. This is to see what would the total demand quantity be if the demand for a specific product or products is zero. I want to create a measure that changes the value of quantity demand and return the Total Quantity Demand dynamically.

Here is my trial below, but no luck yet.

Deletion = 
var selection = 
    SELECTEDVALUE(Table[Product])
    Return
    SWITCH(TRUE(),
    selection = HASONEVALUE(Data[Product])
    ,VALUES(Data[QuantityDemand])=0)

Can anyone please help me with this?

[Anonymous · Accepted solution]

Hi @Anonymous ,

You can use what-if parameter.

Then create the following separate table.

Table 2 = DISTINCT('Table'[Product])

At last, create the following measure.

Total Quantity Demand = CALCULATE(SUM('Table'[QuantityDemand]),FILTER(ALL('Table'),[Product]<>SELECTEDVALUE('Table 2'[Product])))+SELECTEDVALUE('Quantity demand'[Dynamic Quantity demand])

Best Regards,

Stephen Tao

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

[YouCanCallMeAl]

@Anonymous  there seems to be an error?

Quantities w/o dynamic slicer do not fit.

Sum of A = 145 (not 215)

Sum of B = 52 (not 308)

Sum of C = 163 (not 197)

Is there an issue with the measure?

[amitchandak]

@Anonymous , can you share expected output

like quantity other than selected 

calculate(sum(Data[QuantityDemand]), filter( Data, not(data[Product] in allselected(data[Product] ))))

You can control this better if you have an independent table for the product

example Need of an Independent Table in Power BI: https://youtu.be/lOEW-YUrAbE