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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
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
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
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.