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RobGer
Frequent Visitor

Ranking by combination of two columns

Dear PowerBI Community,

 

I have the following question, hopefully you can help me with this.

 

I have a table for each product sold. It looks like this:

 

ProductRegionMain SellerSupport Seller
1WestAlexPedro
2EastStephanieAlex
3NorthPedro 
4NorthStephaniePedro
5SouthPedroAlex
6SouthPedroAlex
7SouthAlexStephanie

 

I would like to calculate an rank the top seller combinations, independent of if they supported during the sale, or if they were the main seller. 

 

The desired result would be displayed on a table with a ranking. 

 

In this example, the combination "Alex and Pedro" would appear 3 times, and ranked as first. "Stephanie and Alex" would be ranked second, and the rest would follow with only one count ("Stephanie and Alex").

 

I don´t wish to display the sales, where there is no support seller, but I believe I can filter that out later through the filter pane and setting "Support Seller" to not allowing blanks.

 

Thank you for your help in advance!

 

Regards,

RobGer

1 ACCEPTED SOLUTION
amustafa
Solution Sage
Solution Sage

Stange request, anyhow...change the Seller Combination as following.

 

Seller Combination =
IF(
    SalesTable[Main Seller] < SalesTable[Support Seller],
    SalesTable[Main Seller] & ", " & SalesTable[Support Seller],
    SalesTable[Support Seller] & ", " & SalesTable[Main Seller]
)




Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




View solution in original post

8 REPLIES 8
ThxAlot
Super User
Super User

 

Interesting, this seemly easy question turns out to be brain teaser.

 

Rnk = 
RANKX(
    ALLSELECTED( PAIR[Product] ),
    VAR __prod = CALCULATETABLE( VALUES( PAIR[Product] ), ALLEXCEPT( PAIR, PAIR[Product] ) )
    VAR __main = CALCULATE( MAX( PAIR[Main Seller] ), ALL(), __prod )
    VAR __sup = CALCULATE( MAX( PAIR[Support Seller] ), ALL(), __prod )
    RETURN
        CALCULATE(
            COUNTROWS( PAIR ),
            TREATAS( { ( __main, __sup ) }, PAIR[Main Seller], PAIR[Support Seller] )
        )
            + CALCULATE(
                COUNTROWS( PAIR ),
                ALL( PAIR[Product] ),
                TREATAS( { ( __sup, __main ) }, PAIR[Main Seller], PAIR[Support Seller] )
            ),
    COUNTROWS( PAIR )
        + CALCULATE(
            COUNTROWS( PAIR ),
            TREATAS(
                { ( MAX( PAIR[Support Seller] ), MAX( PAIR[Main Seller] ) ) },
                PAIR[Main Seller],
                PAIR[Support Seller]
            )
        ),
    ,
    DENSE
)

 

ThxAlot_0-1706124155629.png



Expertise = List.Accumulate(


        {Days as from Today},


        {Skills and Knowledge},


        (Current, Everyday) => Current & Day.LearnAndPractise(Everyday)


)



Ahmedx
Super User
Super User

to get a suitable model you need to create tables in Power Query.
please look at the file and study it

Screenshot_1.pngScreenshot_2.pngScreenshot_3.pngScreenshot_4.pngScreenshot_5.pngScreenshot_6.png

olgad
Resident Rockstar
Resident Rockstar

Hi, 

CombinedName =
IF(
    'Sales'[Main] <= 'Sales'[Supporter],
    'Sales'[Main] & " " & 'Sales'[Supporter],
    'Sales'[Supporter] & " " & 'Sales'[Main]
)
olgad_0-1706097382874.png

 


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amustafa
Solution Sage
Solution Sage

Stange request, anyhow...change the Seller Combination as following.

 

Seller Combination =
IF(
    SalesTable[Main Seller] < SalesTable[Support Seller],
    SalesTable[Main Seller] & ", " & SalesTable[Support Seller],
    SalesTable[Support Seller] & ", " & SalesTable[Main Seller]
)




Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




amustafa
Solution Sage
Solution Sage

Hi @RobGer 

 

Based on your sample dataset, I would create 1 calculated column and 2 measures.

 

Seller Combination = SalesTable[Main Seller] & " and " & SalesTable[Support Seller]
 
Seller Combination Count =
CALCULATE(
    COUNTROWS(SalesTable),
    ALLEXCEPT(SalesTable, SalesTable[Seller Combination])
)
 
Seller Combination Rank =
RANKX(
    ALL(SalesTable[Seller Combination]),
    [Seller Combination Count],
    ,DESC,
    Dense
)
 
Results:
 
amustafa_0-1706086855378.png

If I answered your question, please mark this thread as accepted.
Follow me on LinkedIn:
https://www.linkedin.com/in/mustafa-ali-70133451/

 




Did I answer your question? Mark my post as a solution!

Proud to be a Super User!




Hi @amustafa ,

 

this is looking good, I would need the combinations to be added together, in this case, "Pedro and Alex" would count the same as "Alex and Pedro". I don´t know if there is a feasible solution that would allow it.

olgad
Resident Rockstar
Resident Rockstar

Hi, 

Rank =

RANKX(
    CROSSJOIN(
        ALL(Sales[Main]),
        ALL(Sales[Supporter])),
        Sales[SalesAmount]
)
olgad_0-1706085820867.png

 


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RobGer
Frequent Visitor

Hi @olgad ,

 

This is looking in the right direction, would it be possible to fuse together the repeated seller combinations? In your example, "Alex and Dana" and "Dana and Alex" would be displayed together (as either "Alex and Dana" or "Dana and Alex") and the "Sales Amount" would be added together, too.

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