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Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Count where Value >160

 

Emp n	Emp Nam	Value
822	Abc	180
121	b	300
400	C	120
492	D	100
312	E	200
		
		
I want to filter data Value >160 & show the output as 3		

 

Need help in getting count where value is >160. I want to show this in tile.

 

Thanks,

Raj

4 Replies

  • edhans's avatar
    edhans
    Icon for Community Champion rankCommunity Champion

     

    COUNTX works over a table, so COUNTX(table,expression). FILTER() below is returning a table that only has the rows that are over 160, then COUNTX is just counting the employee names in that filtered table.

     

    Measure = 
    COUNTX(
        FILTER(
            Data,
            Data[Value] > 160
        ),
        Data[Emp n]
    )

     

    • Anonymous's avatar
      Anonymous
      Not applicable
      Hi I need to be more specfic on the details.
      
      Raw Table:
      
      Date	Emp n	Emp Nam	Value		
      1/1/2020	822	Abc	60		
      2/1/2020	822	Abc	120		
      1/1/2020	121	b	150		
      2/1/2020	121	b	150		
      1/1/2020	400	C	80		
      1/2/2020	400	C	40		
      1/3/2020	492	D	100		
      1/4/2020	312	E	200		
      	After removing the Date , the data is aggregated based on the mp name.				
      					
      	Emp n	Emp Nam	Value		
      					
      	822	Abc	180		
      	121	b	300		
      	400	C	120		
      	492	D	100		
      	312	E	200		
      					
      					
      					
      					
      					
      I want to filter data Value >160 & show the output as 3					
      • edhans's avatar
        edhans
        Icon for Community Champion rankCommunity Champion

        Try this:

        Measure =
        VAR SummaryTable =
            SUMMARIZECOLUMNS(
                'Data 2'[Emp n],
                'Data 2'[Emp Nam],
                "Total Value", SUM( 'Data 2'[Value] )
            )
        RETURN
            COUNTX(
                FILTER(
                    SummaryTable,
                    [Total Value] > 160
                ),
                [Emp n]
            )
        

         

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