Forum Discussion

tc97's avatar
tc97
Frequent Visitor
4 years ago
Solved

Measure: Rolling Active Users

Hi, 

 

I have a data table tracking employees internal moves between departments. 

 

 

NameDepartmentStart DateEnd Date
[Employee Name][Department Name][First Day in Department][Last Day in Department - NULL IF ACTIVE]

 

I'm now trying to create a measure to give me the average number of people working in a department at any given date (so that it'll work at date, month, and year level). Essentially this should just be a count of any record where the start date is less than or equal to the date, AND the end date is more than the date OR null.

 

I have a calendar table, but haven't created a relationship with this one yet as I'm unsure how to do this as I want to consider both Date columns in the calculation. 

 

Is this something that's easily achievable?

 

Thanks,

Toby

 

  • Hi,

    Please try the below measure.

    Create a table visualization, and add one of columns from a calendar table (year, month, week, or date column).

    And then add the below measure into the table visualization.

     

     

    Employees count measure: =
    CALCULATE (
        COUNTROWS ( VALUES ( Table[Name] ) ),
        FILTER (
            Table,
            Table[Start Date] <= MAX ( Calendar[Date] )
                && OR ( Table[End Date] >= MIN ( Calendar[Date] ), Table[End Date] = BLANK () )
        )
    )
    

     

2 Replies

  • Hi,

    Please try the below measure.

    Create a table visualization, and add one of columns from a calendar table (year, month, week, or date column).

    And then add the below measure into the table visualization.

     

     

    Employees count measure: =
    CALCULATE (
        COUNTROWS ( VALUES ( Table[Name] ) ),
        FILTER (
            Table,
            Table[Start Date] <= MAX ( Calendar[Date] )
                && OR ( Table[End Date] >= MIN ( Calendar[Date] ), Table[End Date] = BLANK () )
        )
    )
    

     

    • tc97's avatar
      tc97
      Frequent Visitor

      Thanks so much! Exactly what I needed.