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Count rows dynamically and aggregate
This post almost explains perfectly what I want: https://community.powerbi.com/t5/Desktop/Dynamic-Count-of-Rows/m-p/662950 The code proposed by parry2k in the post also works: Count of Products ...
Hi, msuser48 ;
Try it.
Count of Products = VAR __currentProduct = SELECTEDVALUE( Table3[Product] ) RETURN IF(HASONEVALUE(Table3[Product]), CALCULATE( COUNTROWS( Table3 ), ALLSELECTED( Table3 ), Table3[Product] <= __currentProduct ),COUNTROWS('Table3'))The final show:
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Community Support Team _ Yalan Wu
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msuser48 - This what you're going for?
ChrisMendozaalmost.
But as it was also requested in the post i referred to, this has to work when filters are applied, but it currently does not.
Example table with no filters:
| Id | Date | Product | Running Total |
| 1 | 2017-01-01 | 0 | 3 |
| 2 | 2018-01-01 | 0 | 3 |
| 3 | 2019-01-01 | 0 | 3 |
| 4 | 2017-01-01 | 1 | 6 |
| 5 | 2020-01-01 | 1 | 6 |
| 6 | 2021-01-01 | 1 | 6 |
| 7 | 2021-01-01 | 2 | 7 |
| 8 | 2022-01-01 | 3 | 8 |
| 9 | 2022-01-01 | 4 | 9 |
| 10 | 2017-01-01 | 5 | 11 |
| 11 | 2022-01-01 | 5 | 11 |
If we use a slicer filter for "Date", and set this slicer to be between the range 2018-01-01 to 2023-01-01, we should get this for our "Running Total" measure (as the dates highlighted in bold above are removed):
| Id | Date | Product | Running Total |
| 2 | 2018-01-01 | 0 | 2 |
| 3 | 2019-01-01 | 0 | 2 |
| 5 | 2020-01-01 | 1 | 4 |
| 6 | 2021-01-01 | 1 | 4 |
| 7 | 2021-01-01 | 2 | 5 |
| 8 | 2022-01-01 | 3 | 6 |
| 9 | 2022-01-01 | 4 | 7 |
| 11 | 2022-01-01 | 5 | 8 |
Again, running total should be a measure, as I understand it will only work with a measure.