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Levent
Frequent Visitor

selected rows and union of 2 columns in new table

Hi everybody,

 

Can you help me please. I want to do UNION and filter from 1 table to new table with DAX.

 

I try SUMMARIZE ... but i can't do. 

 

merge_table.png

 

Thanks a lot for your response !

1 ACCEPTED SOLUTION
parry2k
Super User
Super User

@Levent you can achieve this by using DAX, go to modelling tab and click new table, and following expression

 

New Table = 
UNION(
    SELECTCOLUMNS( Table1, "Date", Table1[CreateDate], "Budget", Table1[Budget] ),
    SELECTCOLUMNS( FILTER( TABLe1, NOT ISBLANK(Table1[DateWin]) ), "Date", Table1[DateWin], "Budget", -(Table1[Budget]) ),
    SELECTCOLUMNS( FILTER( TABLe1, NOT ISBLANK(Table1[DateLoose]) ), "Date", Table1[DateLoose], "Budget", -(Table1[Budget]))
)


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3 REPLIES 3
parry2k
Super User
Super User

@Levent you can achieve this by using DAX, go to modelling tab and click new table, and following expression

 

New Table = 
UNION(
    SELECTCOLUMNS( Table1, "Date", Table1[CreateDate], "Budget", Table1[Budget] ),
    SELECTCOLUMNS( FILTER( TABLe1, NOT ISBLANK(Table1[DateWin]) ), "Date", Table1[DateWin], "Budget", -(Table1[Budget]) ),
    SELECTCOLUMNS( FILTER( TABLe1, NOT ISBLANK(Table1[DateLoose]) ), "Date", Table1[DateLoose], "Budget", -(Table1[Budget]))
)


Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!

Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo

If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤


Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.

Great help! 

I was looking how to exclude blank rows in my data, as the rows are too long.

Thanks a lot ! Smiley Very Happy

 

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