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Anonymous's avatar
Anonymous
Not applicable
7 years ago
Solved

DAX Select all except topN

Hello all

 

Is there a way to select all values from a table except the topN? 

 

 

Sample data can be found here: sample data onedrive 

 

I want to know the impact of the top 3 worse employees based on time to complete (In sample file that C D & G). Is there a way to exclude the top 3 out of the calculation? I wrote the following but that doesn't seem to work because i don't know how to select the value from a SUMMARIZE table:

Ontimewithouttop5 = CALCULATE(SUM(table1[completedintime])/COUNT(table1[orderid]), FILTER(TOPN(5,SUMMARIZE(table1, table1[employeename], "AboveAverageAgent", AVERAGE(table1[timetocomplete]))), NO IDEA HOW TO SELECT THE RIGHT COLUMN <> table1[employeename]))

Any assistance would be appriciated. DAX has the preference.

Need Help
  • v-cherch-msft's avatar
    v-cherch-msft
    7 years ago

    Hi Anonymous

     

    You may check below measure.

    Measure =
VAR a =
    SUMMARIZE (
        sampledata,
        sampledata[employeename],
        "AboveAverageAgent", AVERAGE ( sampledata[timetocomplete] )
    )
VAR b =
    ADDCOLUMNS ( a, "rank", RANKX ( a, [AboveAverageAgent] ) )
RETURN
    CALCULATE (
        SUM ( sampledata[completedintime] ) / DISTINCTCOUNT ( sampledata[orderid] ),
        FILTER ( b, [rank] > 3 )
    )

    Regards,
    Cherie

6 Replies

  • PattemManohar's avatar
    PattemManohar
    Icon for Community Champion rankCommunity Champion
    7 years ago

    Anonymous It will be great if you can provide us sample data and expected output..... You DON'T need to provide actual data...

    • Anonymous's avatar
      Anonymous
      Not applicable
      7 years ago

      Added it :) 

  • v-cherch-msft's avatar
    v-cherch-msft
    Icon for Microsoft Employee rankMicrosoft Employee
    7 years ago

    Hi Anonymous

     

    You may get the table with visual lever filter. For example, you may create a rank measure and use it in visual level filter. 

    AboveAverageAgent =
CALCULATE (
    SUM ( Table3[timetocomplete] ) / COUNT ( Table3[employeename] ),
    ALLEXCEPT ( Table3, Table3[employeename] )
)
    Rank = RANKX(ALL(table3),[AboveAverageAgent],,DESC,Dense)

     

    If it is not your case, please share some data sample and expected output. 

     

    Regards,

    Cherie

     

    • Anonymous's avatar
      Anonymous
      Not applicable
      7 years ago

      hi v-cherch-msft,

       

      Thanks for your answer, but it doesnt quiet fit. It works, but not ideal as i still have to filter "rank" to a top 3. 

      This file is going to be used for different teams and its not ideal for the end users to manually change the filter in case there are no double rank 1 and 2's.

       

      Let me give some more information, i see that my original post is lacking that. 

       

      I want to calculate the SLA with the following calculation SLA = (SUM(completedintime)/DISTINCTCOUNT(orderid))*100 

       

      The expected result is the SLA of all employees BUT the top 3 based on worse timetocomplete. To see the  impact on the SLA if the Top (or bottom) 3 

       

      In the samplefile the SLA would be 62 (%)

      without the top 3 (C,D&G) it would be 67 (%)

      • v-cherch-msft's avatar
        v-cherch-msft
        Icon for Microsoft Employee rankMicrosoft Employee
        7 years ago

        Hi Anonymous

         

        You may check below measure.

        Measure =
VAR a =
    SUMMARIZE (
        sampledata,
        sampledata[employeename],
        "AboveAverageAgent", AVERAGE ( sampledata[timetocomplete] )
    )
VAR b =
    ADDCOLUMNS ( a, "rank", RANKX ( a, [AboveAverageAgent] ) )
RETURN
    CALCULATE (
        SUM ( sampledata[completedintime] ) / DISTINCTCOUNT ( sampledata[orderid] ),
        FILTER ( b, [rank] > 3 )
    )

        Regards,
        Cherie