Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi
I have a matrix with 2 simple measures across two years:
Total Sum, Total Count
How can I add a column with Year Over Year Difference?
Below is an Excel example of my desired outcome. I need help creating the Yellow column.
(Years are taken from the dimDate, measures from the factSales)
Thank you
Tamir
Solved! Go to Solution.
Hi @tamiribas ,
I'm sorry I can only do this for the time being, I think maybe this result won't be what you expected. I will continue to try to achieve your desired results exactly.
I'll go through the method I'm using:
You can create a new table using the following DAX:
SummaryTable =
VAR SalesAmount2021 = CALCULATE(SUM(factSales[Amount]), 'dimDate'[Year] = 2021)
VAR SalesAmount2022 = CALCULATE(SUM(factSales[Amount]), 'dimDate'[Year] = 2022)
VAR TotalAmount2021 = CALCULATE(COUNTROWS('factSales'), 'dimDate'[Year] = 2021)
VAR TotalAmount2022 = CALCULATE(COUNTROWS('factSales'), 'dimDate'[Year] = 2022)
VAR SalesAmountDiff = SalesAmount2022 - SalesAmount2021
VAR TotalAmountDiff = TotalAmount2022 - TotalAmount2021
RETURN
UNION(
ROW("Year", "2021", "SalesAmount", SalesAmount2021, "TotalAmount", TotalAmount2021),
ROW("Year", "2022", "SalesAmount", SalesAmount2022, "TotalAmount", TotalAmount2022),
ROW("Year", "YoY", "SalesAmount", SalesAmountDiff, "TotalAmount", TotalAmountDiff)
)
Then create the matrix with the newly created table:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you @Anonymous , it looks promising. I will check it out.
Regards,
Tamir
Hi @tamiribas ,
I'm sorry I can only do this for the time being, I think maybe this result won't be what you expected. I will continue to try to achieve your desired results exactly.
I'll go through the method I'm using:
You can create a new table using the following DAX:
SummaryTable =
VAR SalesAmount2021 = CALCULATE(SUM(factSales[Amount]), 'dimDate'[Year] = 2021)
VAR SalesAmount2022 = CALCULATE(SUM(factSales[Amount]), 'dimDate'[Year] = 2022)
VAR TotalAmount2021 = CALCULATE(COUNTROWS('factSales'), 'dimDate'[Year] = 2021)
VAR TotalAmount2022 = CALCULATE(COUNTROWS('factSales'), 'dimDate'[Year] = 2022)
VAR SalesAmountDiff = SalesAmount2022 - SalesAmount2021
VAR TotalAmountDiff = TotalAmount2022 - TotalAmount2021
RETURN
UNION(
ROW("Year", "2021", "SalesAmount", SalesAmount2021, "TotalAmount", TotalAmount2021),
ROW("Year", "2022", "SalesAmount", SalesAmount2022, "TotalAmount", TotalAmount2022),
ROW("Year", "YoY", "SalesAmount", SalesAmountDiff, "TotalAmount", TotalAmountDiff)
)
Then create the matrix with the newly created table:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thank you @Anonymous , it looks promising. I will check it out.
Regards,
Tamir
Hi,
Using this measure will indeed give the previous year's amount. However, my challenge is the layout!
If I use the default matrix layout I get the years in the rows and the measure in the columns.
If I activate the "switch values to rows" option I get the measures in the rows and the years in the columns as in the above screenshot.
My need is to show the last measure in the column (same dimensions as the years)
(Link to my demo file)
Tx
Tamir
If you have time intelligence turned on, and a date table related to you sales, you can use the DAX function SAMEPERIODLASTYEAR.
= CALCULATE(SUM(Sales[SalesAmount]), SAMEPERIODLASTYEAR(DateTime[DateKey]))
reference - SAMEPERIODLASTYEAR – DAX Guide
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
74 | |
71 | |
56 | |
37 | |
33 |
User | Count |
---|---|
71 | |
65 | |
58 | |
50 | |
47 |