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sdas028's avatar
sdas028
Helper I
8 years ago
Solved

Average Head Count by Week

Hi, I am trying to calculate average head count by ISOWEEK. I have a data table that contains employee number, employee name, date of shift, position, isoweek. As the data has an inidvidual line for each employee on each day, if I do a count there is for example 20 heads based on 4 people working 5 days a week, and DISTINCTCOUNT gives 4 heads, but that is not the average of the heads. I've tried using an average and distinctcount combination but that doesnt seem to work either. Any suggestions?

  • Hi sdas028,

    You should use the following formula and check if it works fine.

    average=COUNTROWS(Table)/DISTINCTCOUNT(Table[Emplyeename])


    Best Regards,
    Angelia


8 Replies

  • Wim need more information to help. At least Picture of data model and some representative data if not a link to copy of a sample workbook.
    • sdas028's avatar
      sdas028
      Helper I

      Hi

       

      Here is a sample lot of the data I have, there is employee name and position as well but didnt want to include that information

       

       

       

      Employee NumberHours WorkedDateIsoweek
      50172530/04/201818
      504373.7530/04/201818
      507113.7530/04/201818
      5005510.251/05/201818
      5043711.251/05/201818
      5071111.251/05/201818
      5112411.51/05/201818
      50055112/05/201818
      5017212.752/05/201818
      5043711.52/05/201818
      5071111.752/05/201818
      5112411.752/05/201818
      500557.53/05/201818
      5017213.253/05/201818
      5043713.253/05/201818
      5071111.253/05/201818
      51124143/05/201818
      5005594/05/201818
      50172114/05/201818
      504379.754/05/201818
      5112410.254/05/201818
      50055105/05/201818
      5017211.755/05/201818
      5071110.755/05/201818
      511246.755/05/201818
      500558.56/05/201818
      5017211.256/05/201818
      5043710.56/05/201818
      5071110.56/05/201818
      50172127/05/201819
      5043710.257/05/201819
      5071112.57/05/201819
      500558.758/05/201819
      5043788/05/201819
      5071198/05/201819
      5112478/05/201819
      5005511.59/05/201819
      5017212.59/05/201819
      5043711.259/05/201819
      50711139/05/201819
      51124119/05/201819
      500557.510/05/201819
      5017210.2510/05/201819
      504379.510/05/201819
      507111110/05/201819
      500557.511/05/201819
      5017210.2511/05/201819
      504379.7511/05/201819
      51124911/05/201819
      500558.7512/05/201819
      50172912/05/201819
      507115.2512/05/201819
      51124412/05/201819
      504371014/05/201820
      501727.7515/05/201820
      504378.2515/05/201820
      507118.7515/05/201820
      501729.7516/05/201820
      504371016/05/201820
      507119.7516/05/201820
      500557.517/05/201820
      501728.517/05/201820
      504378.517/05/201820
      50711917/05/201820
      500557.518/05/201820
      5043710.2518/05/201820
      500559.2519/05/201820
      501729.519/05/201820
      507111019/05/201820
      50055720/05/201820
      50172920/05/201820
      504378.7520/05/201820
      507119.2520/05/201820
      5017210.7521/05/201821
      5071110.7521/05/201821
      500557.522/05/201821
      504371222/05/201821
      5071110.7522/05/201821
      500551.7523/05/201821
      50172323/05/201821
      50437223/05/201821
      507112.2523/05/201821
      501728.524/05/201821
      504377.7524/05/201821
      507117.524/05/201821
      504376.525/05/201821
      500559.526/05/201821
      5017210.526/05/201821
      507119.7526/05/201821
      5005513.2527/05/201821
      5017213.2527/05/201821
      504371227/05/201821
      507116.527/05/201821