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Below is a "simple" version of my data table:
Date | Month | Product | Sales_Value | Financial_Year | FY_Sales_Value |
01/02/2018 | Feb | A | 500 | 2017 | 1100 |
02/02/2018 | Feb | A | 600 | 2017 | 1100 |
01/03/2017 | Mar | A | 400 | 2016 | 400 |
01/02/2018 | Feb | B | 700 | 2017 | 700 |
I calculate the column FY_Sales_Value
sumx(
filter(table1, Table1[Product]=earlier(Table1[Product]) &&
Table1[Financial_Year]=earlier(Table1[Financial_Year])),
Table1[Sales_Value])
The problem comes when I put this data into PowerPivot because I'm generally not interested in specific dates, just Months. The FY_Sales_Value then gets multiplied by the number of lines in the table per month.
I am therefore thinking that it is better to work out the FY_Sales_Value as a PowerPivot Measure, but I can't figure out how to do this. Hopefully someone can point me in the right direction.
Thanks.
Hi @jhd,
In Power BI desktop, after adding calculated column [FY_Sales_Value] into a table visual, to avoid it to be multiplied by the number of lines in the table per month, you can select "Don't summarize".
However, if you have any concern about using PowerPivot, I would suggest you post question on a more related forum.
Best regards,
Yuliana Gu