Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowJuly 28 - August 9 | Final Round of the Power BI Dataviz World Championships. This is your chance. Learn more
Hi all,
I have a data table that looks like this:
| PERSONID | EFFFROMDATE | EFFTODATE | TNFR_CC_CHANGE_IN | DIM_FROM_RC_KEY | DIM_RC_KEY |
| 1003110 | 3/1/2018 | 3/31/2018 | 1 | 67400 | 68211 |
| 1003110 | 8/1/2020 | 8/1/2020 | 1 | 68211 | 70515 |
Each record with a value of 1 for the TNFR_CC_CHANGE_IN field represents an employee transfer. The request from the user base is identify where there is a transfer in and a transfer out (2 separate measures) based on the selected DIM_RC_KEY value. So, if a user filtered the report on DIM_RC_KEY = 70515 (or any attributes related to this value), the 'Transfer In' measure should show a value of 1. If a user filtered the report on DIM_RC_KEY = 68211, the 'Transfer Out' measure should show a value of 1.
Is this possible to achieve through 2 measures?
Thanks in advance!
Solved! Go to Solution.
@garynorcrossmmc , The two columns should join with a common dimension DIM_RC and there will be one inactive join, that can be activated using userelationship
example
CALCULATE(
SUM('Table'[personID]),
USERELATIONSHIP('DIM_RC'[DIM_RC_KEY],'Table'[DIM_FROM_RC_KEY])
)
@garynorcrossmmc , The two columns should join with a common dimension DIM_RC and there will be one inactive join, that can be activated using userelationship
example
CALCULATE(
SUM('Table'[personID]),
USERELATIONSHIP('DIM_RC'[DIM_RC_KEY],'Table'[DIM_FROM_RC_KEY])
)
If you love stickers, then you will definitely want to check out our community sticker challenge, Barcelona edition!
Check out the July 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 28 | |
| 28 | |
| 19 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 37 | |
| 29 | |
| 18 | |
| 17 | |
| 15 |