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Anonymous's avatar
Anonymous
Not applicable
7 years ago
Solved

Multiplying Columns In Different Tables With Relationships - Calculated Column of Measure

Community,

Having not much experience with DAX I am having trouble with the following;

Below are my sample tables, their relationships and the values 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

I would like to be able to multiply the "Raw Data" in the data table by the "Weightings" in the weightings table.

Should this be a measure or calculated column?

Do I need to create an additional table in modeling to do this?

 

Any help would be much appreciated!!

  • Anonymous's avatar
    Anonymous
    7 years ago

    Hi Anonymous ,

     

    I dont think you need any additional table.

     

    There is already a relationships between these two tables.

     

    You can use either a quick measure , measure or  calculated column for this :

     

    1. Quick Measure 

    2. DAX measure 

    Measure = Sumx('Data Table','Data Table'[Raw Data]*related(weightings[weightings]))

    3. calculated column

    Column = 'Data Table'[Raw Data]*RELATED(weightings[weightings])

    the answers is going to be the same.

    Look at my output.

     

    let me know for any question.

     

    Thanks,

    Tejaswi

     

     

     

2 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi Anonymous ,

     

    I dont think you need any additional table.

     

    There is already a relationships between these two tables.

     

    You can use either a quick measure , measure or  calculated column for this :

     

    1. Quick Measure 

    2. DAX measure 

    Measure = Sumx('Data Table','Data Table'[Raw Data]*related(weightings[weightings]))

    3. calculated column

    Column = 'Data Table'[Raw Data]*RELATED(weightings[weightings])

    the answers is going to be the same.

    Look at my output.

     

    let me know for any question.

     

    Thanks,

    Tejaswi

     

     

     

    • Anonymous's avatar
      Anonymous
      Not applicable

      Anonymous 

       

      This works as I need thanks!