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Anonymous's avatar
Anonymous
Not applicable
4 years ago
Solved

Grouping..

Hi there,

 

I am trying to use the 'countdistinct' function within Bi - which seems to work in some capacity, but the totals don't add up which is why I've tried to head down the grouping route. Whenever I group the data together, I lose sight of all remaining columns. 

 

I 'referenced/copied' my original data set, applied the grouping steps however when merging the 2 tables together my numbers don't add up. 

 

Example within the below excel data set being used, overall i'm looking to count the number of times a worker has clocked into a building but removing any duplication within the same date. 

 

 

Would be keen to get some thoughts - not sure if even heading down the grouping route will help?

 

I am relatively new to Bi šŸ™‚ 

 

Thanks.

  • Fowmy's avatar
    Fowmy
    4 years ago

    Anonymous 

    In Power Query, select both the Date and the User Column pressing CTRL, right-click, choose Remove Duplicates. You will get rid of any duplicates within Date and User and retain all other columns as well.


4 Replies

  • Anonymous Can you share sample data and sample output in table format? Or a sample pbix after removing sensitive data.

     

    distinctcount calculated again for grand total

     

    if you want sum you need to try like

     

    sumx(values(Table[user]), distinctcount(Table[Where]))

     

    User or department is grouping used in visual

     

    Grand total - https://www.youtube.com/watch?v=ufHOOLdi_jk

    • Anonymous's avatar
      Anonymous
      Not applicable

      Thanks for the message, I gave your SUM a try but I think the issue is that I am reverting to a date field to support my question.

       

      Original Q:

      To count the number of times a worker has clocked into a building, but removing any duplication within the same date. 

       

      Sample Data (within Excel):

       

      Desired Outcome (as illustrated within Excel):

       

      Current view within PowerBi using the 'Grouping Function' along with the 'CountDistinct' against 'User' which gives me the correct result, but the remaining columns are lost (User, Department, Where):

       

       

      I followed this tutorial to achieve the above for context:

      https://www.youtube.com/watch?v=7l4dYEjmgqA 

       

      Is there a way to tie in my original columns sets, so I can apply drill downs as required? 

       

      • Fowmy's avatar
        Fowmy
        Super User

        Anonymous 

        In Power Query, select both the Date and the User Column pressing CTRL, right-click, choose Remove Duplicates. You will get rid of any duplicates within Date and User and retain all other columns as well.