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!Vote for your favorite vizzies from the Power BI Dataviz World Championship submissions. Vote now!
I have a list of clients, that duplicates in same month.
My target is for each month separate the accumulated values by client and positive vs negative, in matrix table
For example: Month 1 Positive = 650 Negative = 0
Month 2 Positive = 650 Negative = -400
........
Help me please?
Hi @ruinaldo,
I think the final requirement is the same as that in your old thread. Please check whether my suggestion is helpful to your scenario.
Regards,
Yuliana Gu
How can i upload the file storage in my pc to send you?
Hi,
There is no need to create a calculated column formula of "Accumulaed values". In the visual, drag Month and write the following measures:
Positives=SUM(Data[Positive])
Negatives=SUM(Data[Negative])
Accumulated values=[Positives]+[Negatives]
Hope this helps.
Sorry but i do not understand. Show your data and your expected result. Where is suggested formula giving you the incorrect result?
Hi,
I have a table of clients movements by month. I don´t need the sum of positive or negative values
I need by month the accumulated values by client. And each month i have client balance positive others negative that i want separate in diferent columns.
Month 1 = positive (650) = acumulated balance of clients 211000500 (500) and 211000700 (150)
Month 2 = positive (350) = acumulated balance of clients 211000500 (200) and 211000700 (150).
negative = acumulated balance of client 211000600 (-100)
.......
......
Hi,
Share the link from where i can download your file.
Vote for your favorite vizzies from the Power BI World Championship submissions!
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
Check out the January 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 56 | |
| 52 | |
| 45 | |
| 17 | |
| 16 |
| User | Count |
|---|---|
| 108 | |
| 108 | |
| 39 | |
| 33 | |
| 25 |