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AbbasG
Memorable Member
Memorable Member

Highlighting the max value (%) in a measure

Hello All,

I have data of suppliers with their regular prices and MSRP. I have created a measure that calculates % difference on regular prices with MSRP as a base value.

Now I want to highlight the row with the highest % difference. Please help me on how can calculate the same.

My data looks like below.

AbbasG_0-1639379045118.png

 

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @AbbasG ,

 

I modified my color measure. Please take a look.

Color = 
VAR _rank =
    RANKX (
        FILTER (
            ALLSELECTED ( 'All suppliers Combined Data' ),
            [Model#] = MAX ( 'All suppliers Combined Data'[Model#] )
        ),
        [Min of MSRP % difference from Min of Price],
        ,
        DESC,
        DENSE
    )
RETURN
    IF ( _rank = 1, "Green", "White" )

vstephenmsft_1-1640074883003.png

 

 

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.

 

View solution in original post

9 REPLIES 9
amitchandak
Super User
Super User

@AbbasG ,

Highest Diff percent 

overall = calculate(maxx(summarize(allselected(Table) , Table[Supplier], Table[Model], " _1", [Diff]) , [_1] ) )


Max By supplier = calculate(maxx(summarize(Table , Table[Supplier], " _1", [Diff]) , [_1] ), removefilters(Table[Model] ))

Max By supplier = calculate(maxx(summarize(Table , Table[Model], " _1", [Diff]) , [_1] ), removefilters(Table[Supplier] ))

 

 

Use one of them as per need to compare and create color measure  

 

Color =  Switch( True() ,

[Diff %] = [Overall] , "Green" ,"White")

 

And use that in coditional formatting using field value option 

 

How to do conditional formatting by measure and apply it on pie?: https://youtu.be/RqBb5eBf_I4

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Hello @amitchandak 

 

Thank you for the quick response. I have created the below measures. But it highlights all the value, can you please guide me what goes wrong?
Max By supplier = calculate(maxx(summarize(Table , Table[Supplier], " _1", [Diff]) , [_1] ), removefilters(Table[Model] ))

 

 

Color =  Switch( True() ,

[Diff %] = [Overall] , "Green" ,"White")







@AbbasG , I think I should not have removed model from summarize

 

Max By supplier = calculate(maxx(summarize(Table , Table[Supplier],Table[Model] " _1", [Diff]) , [_1] ), removefilters(Table[Model] ))

 

Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

Full Power BI Video 20 Hours YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube
AbbasG
Memorable Member
Memorable Member

@amitchandak Awaiting your help, please😅

Anonymous
Not applicable

Hi @AbbasG ,

 

Is this the desired result you want?

vstephenmsft_0-1639990057972.png

Color measure is as follows.

Color =
VAR _rank =
    RANKX (
        FILTER (
            ALLSELECTED ( 'All suppliers Combined Data' ),
            [Supplier] = MAX ( 'All suppliers Combined Data'[Supplier] )
        ),
        [Min of MSRP % difference from Min of Price],
        ,
        DESC,
        DENSE
    )
RETURN
    IF ( _rank = 1, "Green", "White" )

 

 

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.

Hi @Anonymous thank you for your response.

I want to highlight only the max % diff in each row. 



Anonymous
Not applicable

Hi @AbbasG ,

 

I modified my color measure. Please take a look.

Color = 
VAR _rank =
    RANKX (
        FILTER (
            ALLSELECTED ( 'All suppliers Combined Data' ),
            [Model#] = MAX ( 'All suppliers Combined Data'[Model#] )
        ),
        [Min of MSRP % difference from Min of Price],
        ,
        DESC,
        DENSE
    )
RETURN
    IF ( _rank = 1, "Green", "White" )

vstephenmsft_1-1640074883003.png

 

 

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.

 

@Anonymous This helps. Thank you so much 🙂

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