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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
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