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
I have the following scenario
The Price Column is the result of the following calculation
Price = DIVIDE(sum('Entrada Oferta'[Net value]),sum('Entrada Oferta'[Qt.Total OV]),BLANK())However, as you can see, there is some days where I didnt sell products (so this calculation will bring zero), for those days, I would like the Price assume the value of the average Price for the whole month. How can I solve it?
Thanks in advance
Solved! Go to Solution.
Price = DIVIDE(sum('Entrada Oferta'[Net value]),sum('Entrada Oferta'[Qt.Total OV]),VAR _y=values(dates[year]) VAR _m=values(dates[month]) RETURN CALCULATE(DIVIDE(sum('Entrada Oferta'[Net value]),sum('Entrada Oferta'[Qt.Total OV]),dates[year] IN _y,dates[month] IN _m,ALL(dates)))
Price = DIVIDE(sum('Entrada Oferta'[Net value]),sum('Entrada Oferta'[Qt.Total OV]),VAR _y=values(dates[year]) VAR _m=values(dates[month]) RETURN CALCULATE(DIVIDE(sum('Entrada Oferta'[Net value]),sum('Entrada Oferta'[Qt.Total OV]),dates[year] IN _y,dates[month] IN _m,ALL(dates)))
Use COALESCE()
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 |
|---|---|
| 20 | |
| 10 | |
| 9 | |
| 4 | |
| 4 |
| User | Count |
|---|---|
| 33 | |
| 31 | |
| 19 | |
| 12 | |
| 10 |