Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Compete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.

Reply
mrothschild
Continued Contributor
Continued Contributor

Measure to fix output to a SELECTEDVALUE

PBIX file is here: https://drive.google.com/file/d/1YJ7I8PYqqEiap-mPjvprMlsLh9fv5Jkb/view?usp=sharing

 

This first screenshot has "Edit Interactions" turned off in the Matrix when the slicer is selected.

 

mrothschild_0-1683135888812.png

 

This second screenshot has the Edit Interactions between the Slicer and Matrix turned on.

 

mrothschild_1-1683135939652.png

 

The desired output will be more complicated, but as an interim step, I'd like the upper screenshot to have a matrix output equal to the SELECTEDVALUE for all rows in the Matrix.  So instead of AAA, AA+, AA, AA-, . . . on the right under the heading "Probability of Default for Reference Rating" it will be BBB, BBB, BBB, BBB, . .  ..

 

From there, I will be using SUMX to pull in the numbers in the column adjacent to it associated with the SELECTEDVALUE rather than the RowHeaders in the Matrix.  

 

I think the code is something along the lines of: 

    FILTER (
        ('_Loss Given Default'),
        '_Loss Given Default'[S&P Rating] = _Rating_Reference
    )

or

 

    FILTER (
        ALL('_Loss Given Default'),
        '_Loss Given Default'[S&P Rating] = _Rating_Reference
    )

 

 

but haven't been able to find the right solution.  

 

Thanks!

 

 

 

1 ACCEPTED SOLUTION

Apparently, I needed a disconnected slicer to get to the desired output.  Still don't have a sufficient appreciation, and I'm confident there is a more elegant code to get to the same result, but a brute force trial & error resulted in this: 

 

Probability of Default Delta = 

VAR _SelectedRows = 
    FILTER(
        ALL('_Loss Given Default'),
        '_Loss Given Default'[S&P Rating] = SELECTEDVALUE('S&P Ratings'[S&P Rating])
    )

VAR _ReferenceRatingProbDefault = 
    SUMX(
        ADDCOLUMNS(
            VALUES('_Loss Given Default'[Month]),
            "Probability of Default", CALCULATE(
                SUM('_Loss Given Default'[Probability of Default]),
                _SelectedRows,
                '_Loss Given Default'[Month] = EARLIER('_Loss Given Default'[Month])
            )
        ),
        [Probability of Default]
    )

VAR _UnreferencedProbDefault = 
    SUMX(
        GROUPBY('_Loss Given Default','_Loss Given Default'[Month],'_Loss Given Default'[Probability of Default]),
            '_Loss Given Default'[Probability of Default]
    )

VAR _Output = 
    _UnreferencedProbDefault - _ReferenceRatingProbDefault

RETURN 
    _Output

View solution in original post

3 REPLIES 3
lbendlin
Super User
Super User

you chose to disable interactions. Revert that and the table will filter as desired.

mrothschild
Continued Contributor
Continued Contributor

@lbendlin 

 

Appreciate the answer, but when I turn interactions back on, then the Matrix filters only to BBB

 

What I'd like is an output that looks like the following for this interim step:

S&P Rating[A] = Probability of Default @ Month 12[B] = Probability of Default of Selected Value @ Month 12SELECTEDVALUE[A] - [B]
AAA0.00%0.15%BBB-0.15%
AA+0.00%0.15%BBB-0.15%
AA0.02%0.15%BBB-0.13%
AA-0.03%0.15%BBB-0.12%
A+0.05%0.15%BBB-0.10%
A . . .0.05%0.15%BBB-0.10%

 

The following code is summing across ALL months as opposed to the reference month in the Matrix's Column Headers.  I suspect I need to use ALL in a different place to clear the slicer filtering, but want to keep the GROUPBY for Month association.

 

ProbDefaultRefRating = 

CALCULATE(
    SUMX(
        GROUPBY(
            '_Loss Given Default',
            '_Loss Given Default'[Month],
            '_Loss Given Default'[Probability of Default]
        ),
        '_Loss Given Default'[Probability of Default]
    ),
    ALL('_Loss Given Default'),
    '_Loss Given Default'[S&P Rating] = "BBB"
)

 

Apparently, I needed a disconnected slicer to get to the desired output.  Still don't have a sufficient appreciation, and I'm confident there is a more elegant code to get to the same result, but a brute force trial & error resulted in this: 

 

Probability of Default Delta = 

VAR _SelectedRows = 
    FILTER(
        ALL('_Loss Given Default'),
        '_Loss Given Default'[S&P Rating] = SELECTEDVALUE('S&P Ratings'[S&P Rating])
    )

VAR _ReferenceRatingProbDefault = 
    SUMX(
        ADDCOLUMNS(
            VALUES('_Loss Given Default'[Month]),
            "Probability of Default", CALCULATE(
                SUM('_Loss Given Default'[Probability of Default]),
                _SelectedRows,
                '_Loss Given Default'[Month] = EARLIER('_Loss Given Default'[Month])
            )
        ),
        [Probability of Default]
    )

VAR _UnreferencedProbDefault = 
    SUMX(
        GROUPBY('_Loss Given Default','_Loss Given Default'[Month],'_Loss Given Default'[Probability of Default]),
            '_Loss Given Default'[Probability of Default]
    )

VAR _Output = 
    _UnreferencedProbDefault - _ReferenceRatingProbDefault

RETURN 
    _Output

Helpful resources

Announcements
August Power BI Update Carousel

Power BI Monthly Update - August 2025

Check out the August 2025 Power BI update to learn about new features.

August 2025 community update carousel

Fabric Community Update - August 2025

Find out what's new and trending in the Fabric community.

Top Solution Authors