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quintans1
Helper I
Helper I

Segmentation in a matrix table that will essentially show double counting

I am trying to build a matrix table and tried to build a calculated column for segmentation, but what do I build if I need to see something as its own row essentially double counting? In the table below, Junior exists in both Corporate and Plant, but I would like to see it as its own row in the same matrix table.

 

Lets say I have data in a table like this:

 

quintans1_0-1740965622683.png

But when I build out my matrix table I need this:

quintans1_1-1740965671913.png

 

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

I am not sure if I understood your question correctly, but I tried to create a sample pbix file like below.

Please check the below picture and the attached pbix file.

 

Jihwan_Kim_1-1740974885955.png

 

 

Jihwan_Kim_0-1740974857576.png

 

USERELATIONSHIP function (DAX) - DAX | Microsoft Learn

 

expected result measure: = 
SWITCH (
    SELECTEDVALUE ( agency[agency] ),
    "junior",
        CALCULATE (
            SUM ( data[revenue] ),
            USERELATIONSHIP ( agency[agency], data[department] )
        ),
    SUM ( data[revenue] )
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

View solution in original post

2 REPLIES 2
quintans1
Helper I
Helper I

Thank you

Jihwan_Kim
Super User
Super User

Hi,

I am not sure if I understood your question correctly, but I tried to create a sample pbix file like below.

Please check the below picture and the attached pbix file.

 

Jihwan_Kim_1-1740974885955.png

 

 

Jihwan_Kim_0-1740974857576.png

 

USERELATIONSHIP function (DAX) - DAX | Microsoft Learn

 

expected result measure: = 
SWITCH (
    SELECTEDVALUE ( agency[agency] ),
    "junior",
        CALCULATE (
            SUM ( data[revenue] ),
            USERELATIONSHIP ( agency[agency], data[department] )
        ),
    SUM ( data[revenue] )
)

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

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