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 am new to Power BI. I am facing an issue with Running Total in Matrix visual as below mentioned.
When I am using single year as 2016, it will giving correct value.
but once I am using multip years the flow was breaking, as you can see below image
here is the dax expression I am using for this
can someone help where I am doing wrong ?
Thanks for advance
Khalandar.
Solved! Go to Solution.
Hi, I am not sure how your semantic model looks like, but if you are looking for the selected years rank, please check the below picture and the attached pbix file.
I think, please correct me if I am wrong, in each year, the ranking of cities are different. If you want to rank the cities for all selected years, please check the below.
Window DAX function is used in the measure.
WINDOW function (DAX) - DAX | Microsoft Learn
total sales: =
SUM( orders_fact[sales] )
cumulative sales: =
VAR _cumulate =
WINDOW (
1,
ABS,
0,
REL,
ALL ( city_dimension[city] ),
ORDERBY (
CALCULATE (
[total sales:],
ALLSELECTED ( year_dimension[year] )
), DESC
)
)
RETURN
CALCULATE (
[total sales:],
_cumulate
)
Hi, I am not sure how your semantic model looks like, but if you are looking for the selected years rank, please check the below picture and the attached pbix file.
I think, please correct me if I am wrong, in each year, the ranking of cities are different. If you want to rank the cities for all selected years, please check the below.
Window DAX function is used in the measure.
WINDOW function (DAX) - DAX | Microsoft Learn
total sales: =
SUM( orders_fact[sales] )
cumulative sales: =
VAR _cumulate =
WINDOW (
1,
ABS,
0,
REL,
ALL ( city_dimension[city] ),
ORDERBY (
CALCULATE (
[total sales:],
ALLSELECTED ( year_dimension[year] )
), DESC
)
)
RETURN
CALCULATE (
[total sales:],
_cumulate
)
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 |
---|---|
14 | |
11 | |
10 | |
10 | |
9 |
User | Count |
---|---|
18 | |
13 | |
12 | |
11 | |
8 |