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.
Hello community! I created this measure to sum total savings between two dates, [Monthly Updated Transition Date] & [End Transition Date], using an IF statement:
JUL Savings =
IF(DATE(2022, 7, 1) >= MIN('Project Data'[Monthly Updated Transition Date]) && DATE(2022, 7, 1) < MIN('Project Data'[End Transition Date]),
SUMX(VALUES('Project Data'[Concatenate]),
CALCULATE(SUM('Query_Sums'[JUL ]) * SUM('Project Data'[Savings per SKU (per actual case)]))
),
BLANK()
)
While this evaluates a result for each Project Name, it does not evaluate a Total in the matrix visual:
Are there other ways to re-write the DAX, such as by using ISONORAFTER? Thanks so much for your help in advance!
Solved! Go to Solution.
Hi @alvinlinjr
Please try
JUL Savings =
SUMX (
VALUES ( 'Project Data'[Concatenate] ),
CALCULATE (
IF (
DATE ( 2022, 7, 1 ) >= MIN ( 'Project Data'[Monthly Updated Transition Date] )
&& DATE ( 2022, 7, 1 ) < MIN ( 'Project Data'[End Transition Date] ),
SUM ( 'Query_Sums'[JUL ] )
* SUM ( 'Project Data'[Savings per SKU (per actual case)] ),
BLANK ()
)
)
)
Hi @alvinlinjr
Please try
JUL Savings =
SUMX (
VALUES ( 'Project Data'[Concatenate] ),
CALCULATE (
IF (
DATE ( 2022, 7, 1 ) >= MIN ( 'Project Data'[Monthly Updated Transition Date] )
&& DATE ( 2022, 7, 1 ) < MIN ( 'Project Data'[End Transition Date] ),
SUM ( 'Query_Sums'[JUL ] )
* SUM ( 'Project Data'[Savings per SKU (per actual case)] ),
BLANK ()
)
)
)
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 |
---|---|
10 | |
9 | |
8 | |
8 | |
6 |
User | Count |
---|---|
14 | |
13 | |
11 | |
9 | |
9 |