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MCG
Helper I
Helper I

RankX for number of columns

Hi,

I have a simple data set:

category   brand   value

x               a           10

x               b           15

y               c            20

y               d            25

 

 

I need to create ONE measure that will give me ranking for category and brand but shown in two separate tables:

cat   value   rank

x      35       2

y      45       1

 

brand value   rank

a        10       4

b        15       3

... for the rest brands

 

Is it possible via one RankX measure?

thanks

Mcg

1 ACCEPTED SOLUTION
AlB
Super User
Super User

@MCG 

Sorry, hadn't read properly.

 

Rank measure V2 =
SWITCH (
    TRUE (),
    ISFILTERED ( Table1[category] ), RANKX ( ALL ( Table1[category] ), CALCULATE ( SUM ( Table1[value] ) ) ),
    ISFILTERED ( Table1[brand] ), RANKX ( ALL ( Table1[brand] ), CALCULATE ( SUM ( Table1[value] ) ) )
)

 

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

SU18_powerbi_badge

View solution in original post

6 REPLIES 6
AlB
Super User
Super User

@MCG 

Sorry, hadn't read properly.

 

Rank measure V2 =
SWITCH (
    TRUE (),
    ISFILTERED ( Table1[category] ), RANKX ( ALL ( Table1[category] ), CALCULATE ( SUM ( Table1[value] ) ) ),
    ISFILTERED ( Table1[brand] ), RANKX ( ALL ( Table1[brand] ), CALCULATE ( SUM ( Table1[value] ) ) )
)

 

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

SU18_powerbi_badge

exactly what i was looking for:)

perfect!

greta thanks

mcg

 

CNENFRNL
Community Champion
Community Champion

Hi, @MCG , you might want to try to further integrate rankings this way,

Rank =
SWITCH (
    TRUE (),
    ISINSCOPE ( Table1[brand] ),
        RANKX (
            ALL ( Table1[brand] ),
            CALCULATE ( SUM ( Table1[value] ), ALL ( Table1[Category] ) )
        ),
    ISINSCOPE ( Table1[category] ), RANKX ( ALL ( Table1[category] ), CALCULATE ( SUM ( Table1[value] ) ) )
)

Screenshot 2020-12-02 224039.png


Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension!

DAX is simple, but NOT EASY!

That is also nice solution:)

I will keep it in mind

thx

Mcg

AlB
Super User
Super User

Hi @MCG 

For your first visual:

Rank measure = 
RANKX(ALL(Table1[category]), CALCULATE(SUM(Table1[value])))

For the second:

Rank measure 2 = 
RANKX(ALL(Table1[brand]), CALCULATE(SUM(Table1[value])))

 

Please mark the question solved when done and consider giving a thumbs up if posts are helpful.

Contact me privately for support with any larger-scale BI needs, tutoring, etc.

Cheers 

SU18_powerbi_badge

 

Thanks:)

That is what I also calculated...

What i wanted to achieve is to get same result in one measure...

br

Mcg

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