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Anonymous's avatar
Anonymous
Not applicable
4 years ago
Solved

Conditional deduplication based on multiple columns

Hi everyone,

 

I need to write a very specific deduplication query and I am wondering if you can help me out. We have an ecommerce site and I am getting a daily CSV file that has transactional information for each day, and I have built a few Power BI reports based on that dataset. Over time, in a certain situation, parts of a transaction can get double counted. So here's what I am trying to do.

 

Within a Master Order Number, I want to check for duplicate Item IDs. If an Item ID is duplicated within a Master Order Number, its sales should NOT be counted IF the Invoice Date is blank. So in the data below, the rows I highlighted should not be counted.

 

 

I am scratching my head on figuring out how to do this, so any insight or suggestions are appreciated! I have created a RANKX function that looks within a Master Order # and will rank the ITEM IDs. But, I am not sure what to do with that info because I'd still have to write a query that checks if the "Check for dupes" column is equal, and then find the Item ID that has a blank Invoice Number. So I don't think that has done me any good.

 

 

Thanks in advance for your wisdom!

Need Help
  • Anonymous's avatar
    Anonymous
    4 years ago

    Hi Anonymous 

    Try this code.

    Remove Duplicate =
SUMMARIZE (
    FILTER (
        'Table',
        IF (
            VAR _COUNTROW =
                CALCULATE (
                    COUNTROWS ( 'Table' ),
                    FILTER (
                        ALL ( 'Table' ),
                        'Table'[Master Order Number] = EARLIER ( 'Table'[Master Order Number] )
                            && 'Table'[Item ID] = EARLIER ( 'Table'[Item ID] )
                    )
                )
            RETURN
                _COUNTROW > 1,
            'Table'[RANK] <> 1
                || 'Table'[Invoice Date] <> BLANK (),
            'Table'[RANK] = 1
        )
    ),
    'Table'[Order Number],
    'Table'[Master Order Number],
    'Table'[Order Date],
    'Table'[Invoice Date],
    'Table'[Item ID]
)

    Result is as below.

    Best Regards,
    Rico Zhou

     

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

8 Replies

  • lbendlin's avatar
    lbendlin
    Super User
    4 years ago

    Deduplication is much easier to do in Power Query (unless it depends on user filters).

     

    Please provide sanitized sample data that fully covers your issue. Paste the data into a table in your post or use one of the file services. Please show the expected outcome.

    • Anonymous's avatar
      Anonymous
      Not applicable
      4 years ago

      lbendlin thanks for the reply.

       

      Table 1: Sample of data before filter showing all the order IDs within Master Order # 10034858.

       

      Order NumberMaster Order NumberOrder DateInvoice DateItem ID
      10034858100348587/12/2021 CA-ST-EA
      10034858100348587/12/2021 CA-BB-CS
      10034858100348587/12/2021 CC-USR-04
      10034858100348587/12/2021 CC-UPTP-04
      20405998100348587/12/2021 FP-20EHH-CS
      20405999100348587/12/2021 3M-SGCUP-01
      10034858100348587/12/20217/13/2021CC-USR-04
      10034858100348587/12/20217/13/2021CC-UPTP-04
      10034858100348587/12/20217/13/2021CA-ST-EA
      10034858100348587/12/20217/13/2021CA-BB-CS
      20405998100348587/12/20217/13/2021FP-20EHH-CS
      20405999100348587/12/20217/13/20213M-SGCUP-01

       

      Table 2: Data after filter applied; duplicate order IDs within Master Order # 10034858 WHERE Invoice Date = NULL have been removed.

      (Remember I want this logic to look within all Master Order #s. I have just filtered down to one Master Order # to simplify the example output.)

       

      Order NumberMaster Order NumberOrder DateInvoice DateItem ID
      10034858100348587/12/20217/13/2021CC-USR-04
      10034858100348587/12/20217/13/2021CC-UPTP-04
      10034858100348587/12/20217/13/2021CA-ST-EA
      10034858100348587/12/20217/13/2021CA-BB-CS
      20405998100348587/12/20217/13/2021FP-20EHH-CS
      20405999100348587/12/20217/13/20213M-SGCUP-01

       

      Thanks again.

      • Anonymous's avatar
        Anonymous
        Not applicable
        4 years ago

        Hi Anonymous 

        Try this rank code.

         

        RANK = 
RANKX (
    FILTER (
        'Table',
        'Table'[Order Number] = EARLIER ( 'Table'[Order Number] )
            && 'Table'[Master Order Number] = EARLIER ( 'Table'[Master Order Number] )
            && 'Table'[Item ID] = EARLIER ( 'Table'[Item ID] )
            && 'Table'[Order Date] = EARLIER ( 'Table'[Order Date] )
    ),
    'Table'[Invoice Date],
    ,
    ASC
)

         

        This code will create a rank based on each [Order Number],[Master Order Number],[Order Date] and [Item ID] group. 

        Then create a new dax table to remove rank =1.

         

        Remove Duplicate = 
SUMMARIZE(FILTER('Table','Table'[RANK]<>1),'Table'[Order Number],'Table'[Master Order Number],'Table'[Order Date],'Table'[Invoice Date],'Table'[Item ID])

         

        Result is as below.

        Or you can calcualte sum directly by add rank<>1 in your table filter. You don't need to create a new table.

        Such as:

        Measure = CALCULATE(SUM([Sales],Filter('Table',[Rank]<>1))

         

        Best Regards,
        Rico Zhou

         

        If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.