Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hello community!
I am stumped. So I am trying to do a "conversion" rate based on a start date from one table and a start date from another table. These two tables do not have a direct relationship, however, they are both connected to a main table through an ID. The main table includes the slicer # and the main table ID #. I am using a DAX where I pull the minimum date value based on the start date of each table, then I am using a datediff between those two minimum values.
What I need is for the sum of those conversion days for all of the main table #s and then I will divide that number by the count of main table IDs.
Here's an example. Instead of it showing -254 I need it to total eveything in that table in order for me to divide it by the count. Hopefully this wasn't too confusing, Thanks!
Solved! Go to Solution.
Hi @Anonymous
please try
Conversation Date (days/ID) =
AVERAGEX (
VALUES ( 'Main Table'[Main Table ID] ),
CALCULATE (
DATEDIFF ( MIN ( Table1[StartDate] ), MIN ( Table2[StartDate] ), DAY )
)
)
Hi @Anonymous
please try
Conversation Date (days/ID) =
AVERAGEX (
VALUES ( 'Main Table'[Main Table ID] ),
CALCULATE (
DATEDIFF ( MIN ( Table1[StartDate] ), MIN ( Table2[StartDate] ), DAY )
)
)
Wow I was overthinking this, LOL! Works perfectly. Thank you!
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 6 | |
| 5 | |
| 5 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 24 | |
| 21 | |
| 15 | |
| 12 | |
| 12 |