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 Team,
if I selecting a two week then i want to show the var% between the value.
Thanks,
DK
Solved! Go to Solution.
Hi, I am not sure how your semantic model looks like, but I tried to create a sample pbix file like below.
Please check the below picture and the attached pbix file.
INDEX function (DAX) - DAX | Microsoft Learn
Sales measure: =
VAR _sales =
SUM ( Data[Sales] )
VAR _weekselectcondition =
COUNTROWS ( DISTINCT ( Week[Week] ) ) = 2
VAR _totalcolumn =
NOT ( HASONEVALUE ( Week[Week] ) )
VAR _salesone =
CALCULATE (
SUM ( Data[Sales] ),
INDEX ( 1, VALUES ( Week[Week] ), ORDERBY ( Week[Week], ASC ) )
)
VAR _salestwo =
CALCULATE (
SUM ( Data[Sales] ),
INDEX ( 1, VALUES ( Week[Week] ), ORDERBY ( Week[Week], DESC ) )
)
VAR _percentage =
FORMAT ( DIVIDE ( _salestwo - _salesone, _salesone ), "#0.00%" )
RETURN
IF ( _weekselectcondition && _totalcolumn, _percentage, _sales )
Hi, I am not sure how your semantic model looks like, but I tried to create a sample pbix file like below.
Please check the below picture and the attached pbix file.
INDEX function (DAX) - DAX | Microsoft Learn
Sales measure: =
VAR _sales =
SUM ( Data[Sales] )
VAR _weekselectcondition =
COUNTROWS ( DISTINCT ( Week[Week] ) ) = 2
VAR _totalcolumn =
NOT ( HASONEVALUE ( Week[Week] ) )
VAR _salesone =
CALCULATE (
SUM ( Data[Sales] ),
INDEX ( 1, VALUES ( Week[Week] ), ORDERBY ( Week[Week], ASC ) )
)
VAR _salestwo =
CALCULATE (
SUM ( Data[Sales] ),
INDEX ( 1, VALUES ( Week[Week] ), ORDERBY ( Week[Week], DESC ) )
)
VAR _percentage =
FORMAT ( DIVIDE ( _salestwo - _salesone, _salesone ), "#0.00%" )
RETURN
IF ( _weekselectcondition && _totalcolumn, _percentage, _sales )
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 |
---|---|
11 | |
9 | |
8 | |
6 | |
5 |
User | Count |
---|---|
19 | |
17 | |
11 | |
9 | |
9 |