Last_non_blank value of employee count (Fill down)

[Jakob_BI]

Hi all,

I need to fill down the unique count of employees.

I have this table and i basically need it to give me the last available value. 

I need this:

This is my measure for counting employees:

#Employees =

CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] <> "Piccoline"

    )

) + 0.5 * CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] = "studentermedhjælper"

    )

)

and i have a date table 

I tried a lot of different measures.

like this: but as you can see it dont work.

#Employees (Fill Down) =

VAR EmployeeCount =

    CALCULATE(

        DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

        FILTER(

            'GS Medarbejder Liste',

            'GS Medarbejder Liste'[Stilling] <> "Piccoline"

        )

    ) + 0.5 * CALCULATE(

        DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

        FILTER(

            'GS Medarbejder Liste',

            'GS Medarbejder Liste'[Stilling] = "studentermedhjælper"

        )

    )

RETURN

    LASTNONBLANKVALUE('DB Salary PaySlips'[start_date], EmployeeCount)

[Jakob_BI · Accepted solution]

I managed to solve it using a combination of my limited DAX knowledge and consulting with ChatGPT:

Last non-blank count of #employees used for budget calc. =

VAR Last_Date = CALCULATE(MAX('DB Salary PaySlips'[start_date]),

FILTER(ALL('_dimDate'[Date]),'_dimDate'[Date] <= MAX('_dimDate'[Date])))

VAR Employee_Count = CALCULATE(

DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

FILTER(

ALL('DB Salary PaySlips'),

'DB Salary PaySlips'[start_date] = Last_Date

),

FILTER(

'GS Medarbejder Liste',

'GS Medarbejder Liste'[Stilling] <> "Piccoline"

)

)

VAR Student_Count = CALCULATE(

DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

FILTER(

'GS Medarbejder Liste',

'GS Medarbejder Liste'[Stilling] = "studentermedhjælper"

)

, ALL('DB Salary PaySlips'),

'DB Salary PaySlips'[start_date] = Last_Date

) * 0.5

RETURN  Student_Count + Employee_Count

[Avantika-Thakur]

Hi @Jakob_BI ,

You can try the below measure with adding Removefilters(Month) :

#Employees =

Var a = CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] <> "Piccoline"

    )

) + 0.5 * CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] = "studentermedhjælper"

    )

)
return calculate(a,removefilters(Month))

Hope this helps!

Thanks,

Avantika Thakur!

[Jakob_BI]

same result unfortunately

[Avantika-Thakur]

Hi @Jakob_BI ,

Can you also try the below measure if it works?

CALCULATE(CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] <> "Piccoline"

    )

) + 0.5 * CALCULATE(

    DISTINCTCOUNT('DB Salary PaySlips'[employee_ID]),

    FILTER(

        'GS Medarbejder Liste',

        'GS Medarbejder Liste'[Stilling] = "studentermedhjælper"

    )

),REMOVEFILTERS(_dimdate[Month]))

[Jakob_BI]

@Avantika-Thakur  

maybe it is possible to create a new table that i can use? that just count unique employees per month (using the measure i have) and then populating that table with data for months that have not happened yet?

like this:

[Jakob_BI]

thanks for trying but same result:

i will try provide as much info to help you understand my (as i am very interested in solving this).