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Hello,
I have a data set where I'm returning distinct values per day, but, for the weekly total, I would like to sum up those values. Here's the visual and DAX.
And DAX
As you can see, there is duplication between 'Count of Patients' and 'PT Count w/o Duplicates.' In the past, I've used DAX similar to achieve my goal but in this case, it is not working. As you can see, it mirrors the sum of non-distinct PT count. The expected value is 19 for the first row in the bottom visual because 6+4+2+3+4 = 19, then 11+20+20+21+15 = 87, and so on. The only filter I have on this sheet is a date filter that the DAX will need to react to. Any thoughts as to why the DAX is broken?
Thank you for your time
I'm sorry. It did not solve the problem. That is why I did not accept it as a solution. 😞 Thank you for your time
Hi @ZSF0003 ,
Based on your description, I can't tell what structure your data is in. The following method is based on the example data I created.
Sample data
CategoryNameDateValue
| A | A1 | 23/9/2024 | 6 |
| A | A2 | 23/9/2024 | 11 |
| A | A1 | 24/9/2024 | 4 |
| A | A2 | 24/9/2024 | 20 |
| A | A1 | 25/9/2024 | 2 |
| A | A2 | 25/9/2024 | 20 |
| A | A1 | 26/9/2024 | 3 |
| A | A2 | 26/9/2024 | 21 |
| A | A1 | 27/9/2024 | 4 |
| A | A2 | 27/9/2024 | 15 |
| B | B1 | 23/9/2024 | 15 |
| B | B2 | 23/9/2024 | |
| B | B1 | 24/9/2024 | 3 |
| B | B2 | 24/9/2024 | 1 |
| B | B1 | 25/9/2024 | 10 |
| B | B2 | 25/9/2024 | |
| B | B1 | 26/9/2024 | 8 |
| B | B2 | 26/9/2024 | |
| B | B1 | 27/9/2024 | 6 |
| B | B2 | 27/9/2024 | |
| C | C1 | 23/9/2024 | 13 |
| C | C2 | 23/9/2024 | 9 |
| C | C1 | 24/9/2024 | 14 |
| C | C2 | 24/9/2024 | 8 |
| C | C1 | 25/9/2024 | 16 |
| C | C2 | 25/9/2024 | 5 |
| C | C1 | 26/9/2024 | 9 |
| C | C2 | 26/9/2024 | 3 |
| C | C1 | 27/9/2024 | 6 |
| C | C2 | 27/9/2024 |
Create a mesure
Total of Name =
CALCULATE(
SUM('Table'[Value]),
ALLEXCEPT(
'Table',
'Table'[Category],
'Table'[Name]
)
)
Final output
Best regards,
Albert He
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
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