Forum Discussion
SUM values in table where months are not equal between two date columns
Hello,
I have a sales table here with three columns:
| Transaction Date | Sale Date | Quantity | ||
| 12/31/2020 | 01/03/2021 | 10 | ||
| 12/29/2020 | 12/30/2020 | 5 | ||
| 01/04/2021 | 01/05/2021 | 5 | ||
| 01/20/2021 | 02/01/2021 | 10 |
I also have a date table with the following relationships, one is active where the other is inactive:
Date Table Sales Table
[Date]1:*[Transaction Date]
Date Table Sales Table
[Date]1:*[Sale Date] (INACTIVE)
How do I write a measure that will only sum the quantities where the Transaction Date (MONTH) is not equal to the Sale Date (MONTH)?
I want the result to look like this:
| Transaction Month | Sale Date | Quantity | ||
| December | 01/03/2021 | 10 | ||
| January | 02/01/2021 | 10 |
Thank you so much in advance for your help.
l0ganBI , This will give you the data , but this will be filtered by Transaction date if you have used any date slicer
calculate(sum(Table[Quantity]), filter(Table, eomonth([Transaction Date],0) <>eomonth([Sale Date],0)))
1 Reply
- amitchandak
Super User
l0ganBI , This will give you the data , but this will be filtered by Transaction date if you have used any date slicer
calculate(sum(Table[Quantity]), filter(Table, eomonth([Transaction Date],0) <>eomonth([Sale Date],0)))