Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by watching the DP-600 session on-demand now through April 28th.
Learn moreJoin the FabCon + SQLCon recap series. Up next: Power BI, Real-Time Intelligence, IQ and AI, and Data Factory take center stage. All sessions are available on-demand after the live show. Register now
I created a simple table visualization with 57 rows of data. I'm trying to perform a simple calculation with a new measure, calculate(100-sum(price)) but when I do, the table explodes into 1000s of records, majority of this new measure being 100. I'm assuming the calculation is performing on the blank rows. How do I prevent it from calculating on the blank rows and to just perform the calculation on the original 57 rows of data?
Solved! Go to Solution.
Hi, @Anonymous
I am not sure how you created your measure for 57 rows in table visualization, but please try something like the below.
New measure =
IF (
[your measure that created 57 rows] <> BLANK (),
100 - [your measure that created 57 rows]
)
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
Linkedin: linkedin.com/in/jihwankim1975/
Twitter: twitter.com/Jihwan_JHKIM
It can also be that the fields in the table and the ones used in the measure are not related properly in the model. This will result in a cross join between all used tables and thus the thousands of rows you are getting.
Hi, @Anonymous
I am not sure how you created your measure for 57 rows in table visualization, but please try something like the below.
New measure =
IF (
[your measure that created 57 rows] <> BLANK (),
100 - [your measure that created 57 rows]
)
Hi, My name is Jihwan Kim.
If this post helps, then please consider accept it as the solution to help other members find it faster, and give a big thumbs up.
Linkedin: linkedin.com/in/jihwankim1975/
Twitter: twitter.com/Jihwan_JHKIM
Check out the April 2026 Power BI update to learn about new features.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
| User | Count |
|---|---|
| 7 | |
| 6 | |
| 4 | |
| 2 | |
| 1 |
| User | Count |
|---|---|
| 19 | |
| 10 | |
| 7 | |
| 6 | |
| 5 |