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Anonymous
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5 years ago
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Comparing Amount Value

Hello All,

 

I have two table i.e Table A , Table B. Table A contains unqiue acct combination while Table B contains duplicate account combination. I'd like to create a new Collumn in Table A summarizing the the account combination row totals in Table B.

 

See below example. Thanks in advance

 

  • Just off the top of my head:

    Group table B by the Account Combination column, summing up the Total column, then Merge table A and table B, importing the now summarized column.  

  • Hi Anonymous ,

    Besides using 'Merge' in power query, you can also create a calculated column by DAX to keep Table B:

    New Column =
    CALCULATE (
        SUM ( 'Table B (2)'[Total] ),
        FILTER (
            ALL ( 'Table B (2)' ),
            'Table B (2)'[Account Combination]
                = EARLIER ( 'Table A (2)'[Account Combination] )
        )
    )
    

    Attached a sample file in the below, hopes to help you.

     

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

2 Replies

  • Just off the top of my head:

    Group table B by the Account Combination column, summing up the Total column, then Merge table A and table B, importing the now summarized column.  

  • v-yingjl's avatar
    v-yingjl
    Community Support

    Hi Anonymous ,

    Besides using 'Merge' in power query, you can also create a calculated column by DAX to keep Table B:

    New Column =
    CALCULATE (
        SUM ( 'Table B (2)'[Total] ),
        FILTER (
            ALL ( 'Table B (2)' ),
            'Table B (2)'[Account Combination]
                = EARLIER ( 'Table A (2)'[Account Combination] )
        )
    )
    

    Attached a sample file in the below, hopes to help you.

     

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