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stevencmlee
Frequent Visitor

Pivot Top N into Columns

Hi All,

I have a dataset with various fields that I want to pivot entirely. Please see the below example:
Power BI Help Photo.JPG
I would like to pivot the table so that they are grouped by team and sorted by power level, while keeping all other fields. If there is a matching power level, I would like Age to take second priority, then alphabetical name.Power BI Help Photo - Results.JPG

I have experimented with different unpivots and pivots, but can't find a way to do this without making a ton of calculated columns in DAX. Can anyone help me please?

1 ACCEPTED SOLUTION

Accepted Solutions
Community Support
Community Support

Re: Pivot Top N into Columns

Hi @stevencmlee ,

 

If you want to see the result in the table, We suggest matrix visual as a workaround.

 

1. add a index column based on the order you describe

 

 

Index =
VAR t = [Team]
VAR p = [Power Level]
VAR n = [Name]
VAR a = [Age]
VAR t1 =
    FILTER ( ALL ( 'Table3' ), 'Table3'[Team] = t )
VAR t2 =
    FILTER ( ALL ( 'Table3' ), 'Table3'[Team] = t && 'Table3'[Power Level] = p )
VAR t3 =
    FILTER (
        ALL ( 'Table3' ),
        'Table3'[Team] = t
            && 'Table3'[Power Level] = p
            && 'Table3'[Age] = a
    )
RETURN
    RANKX (
        t1,
        RANKX ( t1, [Power Level],, ASC, SKIP ) * 100
            + RANKX ( t2, [Age],, ASC, SKIP ) * 10
            + RANKX ( t3, [Name],, ASC, SKIP ),
        ,
        DESC,
        SKIP
    )

 

 

15.PNG

 

Create a matrix, put the field in, and close the total.

 

12.PNG13.PNG14.PNG

 

Then you can use the Index Slicer to control how many you want to show in matrix.

 

16.PNG

 

 

 

BTW, pbix as attached.

 

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Community Support Team _ Dong Li
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

3 REPLIES 3
Super User IV
Super User IV

Re: Pivot Top N into Columns

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Hi @stevencmlee ,

 

Would you copy and paste the data from you picture either directly into your message, or into the code </> so that we can paste it directly and then play around with it. It might show an error message, but just hit post again.

 

Thanks,

Nathaniel





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

Proud to be a Super User!




Highlighted
Erk
Frequent Visitor

Re: Pivot Top N into Columns

Maybe this helps you in a direction.

 

- Make a duplicate of your query in Power query

- Remove all columns except Team and Power level

- Group by Team and sum the Power Level (order it by power level)

- Left join the original table on Team with Fuzzy matching on and fill in the field Maximum number of matches with 1.

 

And so on.

Community Support
Community Support

Re: Pivot Top N into Columns

Hi @stevencmlee ,

 

If you want to see the result in the table, We suggest matrix visual as a workaround.

 

1. add a index column based on the order you describe

 

 

Index =
VAR t = [Team]
VAR p = [Power Level]
VAR n = [Name]
VAR a = [Age]
VAR t1 =
    FILTER ( ALL ( 'Table3' ), 'Table3'[Team] = t )
VAR t2 =
    FILTER ( ALL ( 'Table3' ), 'Table3'[Team] = t && 'Table3'[Power Level] = p )
VAR t3 =
    FILTER (
        ALL ( 'Table3' ),
        'Table3'[Team] = t
            && 'Table3'[Power Level] = p
            && 'Table3'[Age] = a
    )
RETURN
    RANKX (
        t1,
        RANKX ( t1, [Power Level],, ASC, SKIP ) * 100
            + RANKX ( t2, [Age],, ASC, SKIP ) * 10
            + RANKX ( t3, [Name],, ASC, SKIP ),
        ,
        DESC,
        SKIP
    )

 

 

15.PNG

 

Create a matrix, put the field in, and close the total.

 

12.PNG13.PNG14.PNG

 

Then you can use the Index Slicer to control how many you want to show in matrix.

 

16.PNG

 

 

 

BTW, pbix as attached.

 

Best regards,

Community Support Team _ Dong Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Community Support Team _ Dong Li
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

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