Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
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.
Solved! Go to Solution.
@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)))
@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)))
User | Count |
---|---|
25 | |
12 | |
8 | |
6 | |
6 |
User | Count |
---|---|
26 | |
12 | |
11 | |
8 | |
6 |