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Anonymous's avatar
Anonymous
Not applicable
5 years ago

Calculate the cummulative sum in Matrix with sorting applied and then 50% of it on the Measure

Hi All,

 

I have a matrix wherein i am trying to calculate the running total partition by three dimension in sequence Document No., Product Name and Product ID.

Data source:

 

calculating measure Distinct_count_of_Srno. 

 

The running total (cummulative sum) should be calculated based on the descending order of the measure. Please find below scenario

 

Matrix i want to achieve finally:

Take the example of Document no= XXX,Product Name = ABC and Product ID = 120.

Here we have final running total 12 for the group Document No, Product Name and Product ID.

Taking half of running total which is 12/2 = 6.

now finally calculating how many disticnt feature required to get 50% of running total which in our case is 2 feature.

 

I have uploaded the sample excel and the pbix 

https://easyupload.io/k2n984

password-12345

Please let me know in case of any questions.

 

Thanking you in anticipation!

 

Regards,

Robin Yadav

4 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi Jihwan,

     

    I tried approach suggested by you.

     

    It is giving proper output but it is working only for specified column which I shared with you in excel.

     

     To make it other slicer effective on it , instead of "ALL" in DAX I changed to "ALLSELECTED".

     

    It is not working for large size of data.

    Giving below error:

     

     

    can you please suggest for larger volume of data.

     

    Regards,

    Robin Yadav 

     

    • Jihwan_Kim's avatar
      Jihwan_Kim
      Icon for Super User rankSuper User

      Thank you for your feedback.

      Please share your sample pbix file's link here, then I can try to look into it to come up with accurate solution.

      Thanks.

       

      • Anonymous's avatar
        Anonymous
        Not applicable

        Hi Jihwan,

         

        As I am working on client data, it cannot be shared.

         

        Give me some time, I will mask entire data and will share.

         

        Thanks,

        Robin Yadav