Forum Discussion
Subtract Values (Measure)
Hi Carsten_BI ,
You can refer the following links to get it:
DAX for Cumulative subtraction
Calculating Reverse Cumulative or Reverse Running Total In Power BI
If the above one can't help you, could you please provide some raw data in the table "Sales Table" (exclude sensitive data) with Text format and your expected result with backend logic and special examples? It would be helpful to find out the solution. You can refer the following links to share the required info:
How to provide sample data in the Power BI Forum
How to Get Your Question Answered Quickly
And It is better if you can share a simplified pbix file. You can refer the following link to upload the file to the community. Thank you.
How to upload PBI in Community
Best Regards
Hey yingyinr, thank you for your feedback.
Here is an example of the data source I have. (German Date and Number Format)
xxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxx | xxxxxxxxxxxxxxxxxx |
Due Date | Customer | Item | Price |
| 28.03.2023 | 110343 | 12700 | 4.474,31 |
| 28.01.2023 | 110343 | 12700 | 38.400,00 |
| 28.01.2023 | 110343 | 12700 | 38.400,00 |
| 28.01.2023 | 110343 | 12700 | 45.600,00 |
| 28.03.2023 | 110463 | 13196 | 335.264,22 |
| 28.03.2023 | 110463 | 13196 | 78.000,00 |
| 28.03.2023 | 110463 | 13196 | 51.400,00 |
| 28.01.2023 | 110346 | 12700 | 220.000,00 |
| 28.03.2023 | 110346 | 12700 | 8.200,00 |
| 28.03.2023 | 110346 | 12700 | 45.600,00 |
| 28.03.2023 | 110346 | 12700 | 38.400,00 |
| 28.03.2023 | 110346 | 12700 | 38.400,00 |
| 28.03.2023 | 110346 | 12700 | 220.600,00 |
| 28.04.2023 | 110287 | 12838 | 65.950,00 |
| 28.02.2023 | 104447 | 20321 | 8.800,00 |
| 28.08.2023 | 104447 | 13216 | 18.172,00 |
| 28.08.2023 | 104447 | 13216 | 0,01 |
| 28.07.2023 | 110298 | 13195 | 176.680,00 |
| 31.07.2023 | 110469 | 13389 | 16.500,00 |
| 31.07.2023 | 110461 | 13389 | 14.200,00 |
| 28.01.2023 | 104441 | 13279 | 280.000,00 |
| 28.02.2023 | 110292 | 12964 | 49.410,00 |
| 28.04.2023 | 593153 | 12599 | 8.150,00 |
| 28.08.2023 | 593154 | 13280 | 87.500,00 |
| 28.08.2023 | 593154 | 13280 | 5.500,00 |
| 28.08.2023 | 593156 | 13280 | 172.500,00 |
| 28.08.2023 | 593156 | 13280 | 110.000,00 |
| 28.08.2023 | 593158 | 13280 | 2.950,00 |
| 31.05.2023 | 110299 | 13195 | 2.480,00 |
| 31.03.2023 | 110299 | 13395 | 35.000,00 |
| 28.11.2023 | 110299 | 13395 | 269.000,00 |
| 31.05.2023 | 593156 | 13280 | 822.669,00 |
The sum of open payments is 3.308.199,54
No I want to see how this reduces over time and what is still left as open payment at a specific date (from todays view ). At the end i want to have something like this (just an easy example):
Thank you in advance.
Carsten
- Anonymous3 years agoNot applicable
Hi Carsten_BI ,
I created a sample pbix file(see the attachment), please check if that is what you want.
Measure = VAR _selym = SELECTEDVALUE ( 'Date'[YearMonth] ) VAR _total = CALCULATE ( SUM ( 'Table'[Price] ), ALLSELECTED ( 'Table' ) ) VAR _culprice = CALCULATE ( SUM ( 'Table'[Price] ), FILTER ( ALLSELECTED ( 'Table' ), VALUE ( YEAR ( 'Table'[Due Date] ) & FORMAT ( 'Table'[Due Date], "MM" ) ) <= VALUE ( _selym ) ) ) RETURN _total - _culpriceBest Regards
- Carsten_BI3 years agoRegular Visitor
That is so good. Still one Problem left.
I see you have cratead a suppor table to get the months.
Can you create me an example without the conversion to month? So just the exact dates? dd.mm.yyyy?