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Anonymous's avatar
Anonymous
Not applicable
3 years ago
Solved

Order #'s with multiple rows and products

Hello,

I have a report that I need to be able to summarize the number of orders with and the percentage of orders that meet 2 conditions. The formula I used to assign values to orders that meet these conditions is 

Perfect Order = IF(vwOrderInvoiceShipDetails[Short Shipped]="No" && vwOrderInvoiceShipDetails[invoice_lag]="On Time", 1, 0).
 
I am then taking the distinctcount of the order numbers then dividing the results from the Perfect order column by the distinct count. My issue is that due to there being multiple products for each order number my numerator is too large. If there are three items associated with the order the numerator would be 3 instead of the 1 it should be.

I can fix the issue if I remove duplicates in the query editor, but I still need to show the products that were shipped so I am unable to remove the duplicates. Any ideas on how I could keep the line items but make sure the original formula won't assign values greater than 1?
 
Thanks!
 
Need Help
  • TomMartens's avatar
    TomMartens
    3 years ago

    Hey Anonymous ,

    not sure if I understand you correctly, but maybe this is doing what you are looking for:

    Measure =
DIVIDE(
SUMX(
VALUES('<yourtablenema>'[ordernumber])
, calculate( average( '<yourtablenema>'[perfectoder] ) , '<yourtablenema>'[perfectoder] = 1 )
)
,[the distinctcountmeasure]
)

    Hopefully, this provides what you are looking for.

    If not, consider creating a pbix file that contains sample data, but still reflects your data model (tables, relationships, calculated columns, and measures). Upload the file to onedrive, google drive, or dropbox and share the link. If you are using Excel to create the sample data, share the xlsx as well.

    Regards,

    Tom

2 Replies

  • TomMartens's avatar
    TomMartens
    Icon for Super User rankSuper User
    3 years ago

    Hey Anonymous ,

    not sure if I understand you correctly, but maybe this is doing what you are looking for:

    Measure =
DIVIDE(
SUMX(
VALUES('<yourtablenema>'[ordernumber])
, calculate( average( '<yourtablenema>'[perfectoder] ) , '<yourtablenema>'[perfectoder] = 1 )
)
,[the distinctcountmeasure]
)

    Hopefully, this provides what you are looking for.

    If not, consider creating a pbix file that contains sample data, but still reflects your data model (tables, relationships, calculated columns, and measures). Upload the file to onedrive, google drive, or dropbox and share the link. If you are using Excel to create the sample data, share the xlsx as well.

    Regards,

    Tom

    • Anonymous's avatar
      Anonymous
      Not applicable
      3 years ago

      That seems to have worked. Thank you Tom!