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!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello
I am struggling to create a formula to crack this (seemingly simple) nut.
I have two tables:
Table A contains user ID's and the date they attended training in sales techniques
Table B contains user ID, date, and number of sales
I would like to aggrigate the number of sales 2 days pre and two days post the date of their training.. the date of training being different for each person ID.
Ultimately, to get the the view of Average sales two days prior to training for everyone who was on training and the average sales for everyone to days after the training for everyone who attended training.
Help!
Solved! Go to Solution.
@Anonymous , Create a new column in Table A
Sumx(filter(TableB,TableA[UserID] = TableB[UserID] && TableB[Date] >= TableA[date] -2 && && TableB[Date] <= TableA[date] +2),TableB[number of sales])
@Anonymous , Create a new column in Table A
Sumx(filter(TableB,TableA[UserID] = TableB[UserID] && TableB[Date] >= TableA[date] -2 && && TableB[Date] <= TableA[date] +2),TableB[number of sales])
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 20 | |
| 10 | |
| 9 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 33 | |
| 31 | |
| 19 | |
| 12 | |
| 11 |