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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...
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  • 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

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

  • Anonymous's avatar
    Anonymous
    Not applicable
    7 years ago

    Hi v-cherch-msft,

     

    Perfect! does the job just how I want it. I didn't know I could use variables in a measure, a new world just opened up for me haha. Going to have some fun with this, thanks!