Interpret measures

[pparke]

Hi, 

New to Power BI and trying to interpret measures that have been created by someone else. Could anyone intrepret these please? 

1.

Rolling HC =

VAR MaxIndex = MAX(TURNOVER_Payroll_Calendar[Index])

VAR MinIndex = MaxIndex - 12

VAR Result =

CALCULATE(

    (COUNT('FINAL_TURNOVER_MERGED'[Position ID])/12), FILTER(ALLEXCEPT('FINAL_TURNOVER_MERGED','FINAL_TURNOVER_MAPPING'[Org Unit],'FINAL_TURNOVER_MAPPING'[NDIS Roles],'FINAL_TURNOVER_MAPPING'[Service Area], 'FINAL_TURNOVER_MAPPING'[Location],'MAPPING_OVERVIEW'[Location],'FINAL_TURNOVER_MAPPING'[Position ID]),'FINAL_TURNOVER_MERGED'[Index] <= MaxIndex && 'FINAL_TURNOVER_MERGED'[Index] > MinIndex && 'FINAL_TURNOVER_MERGED'[Source] = "Position"

    )

   )

RETURN

IF(ISBLANK(Result),0,

Result)

2. 

Rolling Term =

VAR MaxIndex = MAX(TURNOVER_Payroll_Calendar[Index])

VAR MinIndex = MaxIndex - 12

VAR Result =

CALCULATE(

    (COUNT('FINAL_TURNOVER_MERGED'[Position ID])), FILTER(ALLEXCEPT('FINAL_TURNOVER_MERGED','FINAL_TURNOVER_MAPPING'[Org Unit],'FINAL_TURNOVER_MAPPING'[NDIS Roles],'FINAL_TURNOVER_MAPPING'[Service Area], 'FINAL_TURNOVER_MAPPING'[Location],'MAPPING_OVERVIEW'[Location],'FINAL_TURNOVER_MAPPING'[Position ID]),'FINAL_TURNOVER_MERGED'[Index] <= MaxIndex && 'FINAL_TURNOVER_MERGED'[Index] > MinIndex && 'FINAL_TURNOVER_MERGED'[Source] = "Offboard"

    )

   )

RETURN

IF(ISBLANK(Result),0,

Result)

Thank You!  

[BA_Pete · Accepted solution]

Hi @pparke ,

This is actually a use-case for which tools like ChatGPT can be your friend. I've reviewed the responses to ensure they haven't been hallucinated.

** The following responses were generated by ChatGPT 4o  **

Measure 1:

This DAX measure, `Rolling HC`, calculates the rolling average headcount over a 12-month period for specific organizational units, roles, service areas, locations, and positions within a dataset. Here’s a breakdown of what each part does:

1. **Variable Definitions**:
- `MaxIndex`: Finds the maximum value of the `Index` column in the `TURNOVER_Payroll_Calendar` table within the current filter context.
- `MinIndex`: Calculates the minimum index for the 12-month rolling window by subtracting 12 from `MaxIndex`.

2. **Result Calculation**:
- The `CALCULATE` function is used to modify the context in which the data is evaluated.
- `(COUNT('FINAL_TURNOVER_MERGED'[Position ID])/12)`: Counts the number of unique `Position ID` values in the `FINAL_TURNOVER_MERGED` table and divides by 12 to get a monthly average.
- `FILTER(ALLEXCEPT(...))`: Removes any filters from the `FINAL_TURNOVER_MERGED` table except those on specific columns related to organizational structure (`Org Unit`, `NDIS Roles`, `Service Area`, `Location`, and `Position ID`).
- The `FILTER` function restricts the data to rows where the `Index` is within the 12-month window (`<= MaxIndex && > MinIndex`) and the `Source` column is equal to "Position".

3. **Return Value**:
- The `IF` function checks if `Result` is blank.
- If `Result` is blank, it returns 0.
- Otherwise, it returns the calculated `Result`.

In summary, this measure calculates the average monthly headcount over the past 12 months for specified organizational dimensions. If no data is found, it returns 0.

Measure 2:

This DAX measure, `Rolling Term`, calculates the rolling total number of terminations (offboarding) over a 12-month period for specific organizational units, roles, service areas, locations, and positions within a dataset. Here's a detailed breakdown:

1. **Variable Definitions**:
- `MaxIndex`: Finds the maximum value of the `Index` column in the `TURNOVER_Payroll_Calendar` table within the current filter context.
- `MinIndex`: Calculates the minimum index for the 12-month rolling window by subtracting 12 from `MaxIndex`.

2. **Result Calculation**:
- The `CALCULATE` function is used to modify the context in which the data is evaluated.
- `(COUNT('FINAL_TURNOVER_MERGED'[Position ID]))`: Counts the number of unique `Position ID` values in the `FINAL_TURNOVER_MERGED` table.
- `FILTER(ALLEXCEPT(...))`: Removes any filters from the `FINAL_TURNOVER_MERGED` table except those on specific columns related to organizational structure (`Org Unit`, `NDIS Roles`, `Service Area`, `Location`, and `Position ID`).
- The `FILTER` function restricts the data to rows where the `Index` is within the 12-month window (`<= MaxIndex && > MinIndex`) and the `Source` column is equal to "Offboard".

3. **Return Value**:
- The `IF` function checks if `Result` is blank.
- If `Result` is blank, it returns 0.
- Otherwise, it returns the calculated `Result`.

In summary, this measure calculates the total number of terminations (offboardings) over the past 12 months for specified organizational dimensions. If no data is found, it returns 0.

Pete