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Anonymous's avatar
Anonymous
Not applicable
2 years ago
Solved

SUMMARIZECOLUMNS (SQL to DAX)

Hello,

 

DATA: I have two columns CustomerID and SalesID.

 

GOAL:

I made a table visual in the screenshot below displaying CustomerID and Max(SalesID) where SalesID is above -1. That means, the table shows distinct CustomerID with the latest SalesID
Now, I want to do a distinct count on the Max(SalesID) column.

 

 

 

HOW I WOULD SOLVE THIS IN SQL:

select CustomerID, max(SalesID)

from [table]

where SalesID > -1

group by CustomerID

 

Based on this table, I would perform a distinct count on the column max (SalesID)

 

BUT IN DAX? 😞

However, I am unsure how to do it in DAX (I tried a lot with SUMMARIZECOLUMNS) and I looked at https://www.sqlbi.com/articles/from-sql-to-dax-filtering-data/ but I couldn't figure it out.

 

Do you have any hints on how to transform the SQL to DAX?

 

Many thanks and best,

Natalie

  • Anonymous, Try a measure like

     

    Measure = Var _tab= SUMMARIZE('Table', 'Table'[CistomerId],"_1" ,Max('Table'[SalesID]))
    return COUNTROWS(SUMMARIZE(_tab,[_1]))

  • Anonymous's avatar
    Anonymous
    2 years ago

    Made a minor change to Amit's code to include the filter on SalesID

    Measure =
    VAR _tab =
        SUMMARIZE (
            'Table',
            'Table'[CistomerId],
            "_1", CALCULATE ( MAX ( 'Table'[SalesID] ), 'Table'[SalesID] > -1 )
        )
    RETURN
        COUNTROWS ( SUMMARIZE ( _tab, [_1] ) )
    

3 Replies

  • Anonymous, Try a measure like

     

    Measure = Var _tab= SUMMARIZE('Table', 'Table'[CistomerId],"_1" ,Max('Table'[SalesID]))
    return COUNTROWS(SUMMARIZE(_tab,[_1]))

  • Anonymous's avatar
    Anonymous
    Not applicable

    Made a minor change to Amit's code to include the filter on SalesID

    Measure =
    VAR _tab =
        SUMMARIZE (
            'Table',
            'Table'[CistomerId],
            "_1", CALCULATE ( MAX ( 'Table'[SalesID] ), 'Table'[SalesID] > -1 )
        )
    RETURN
        COUNTROWS ( SUMMARIZE ( _tab, [_1] ) )
    
  • Anonymous's avatar
    Anonymous
    Not applicable

    Many thanks to both of you! This works brilliant!