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Anonymous
Not applicable

A circular dependency was detected: Phone Call Data[Count of talk time], Phone Call Data[Column], Ph

i want to divide to columns waiting < 60secs and count of talk tym but i am getting an error

 

A circular dependency was detected: Phone Call Data[Count of talk time], Phone Call Data[Column], Phone Call Data[Count of talk time].image.png

1 ACCEPTED SOLUTION
Pragati11
Super User
Super User

HI @Anonymous ,

 

Try creating a measure rather than column using DAX. Creating columns adds circular dependency among the other columns in the table.

Refer following article for details:

https://www.sqlbi.com/articles/avoiding-circular-dependency-errors-in-dax/

 

Thanks,

Pragati

Best Regards,

Pragati Jain


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5 REPLIES 5
VijayP
Super User
Super User

Hi @Anonymous 
Column might have created that issue. Just Create a measure with same function and for Filter the MEasure use Calculate function

That should resolve your problem

Vijay Perepa




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MY Blog || My YouTube Channel || Connect with me on Linkedin || My Latest Data Story - Ageing Analysis

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Pragati11
Super User
Super User

HI @Anonymous ,

 

Try creating a measure rather than column using DAX. Creating columns adds circular dependency among the other columns in the table.

Refer following article for details:

https://www.sqlbi.com/articles/avoiding-circular-dependency-errors-in-dax/

 

Thanks,

Pragati

Best Regards,

Pragati Jain


MVP logo


LinkedIn | Twitter | Blog YouTube 

Did I answer your question? Mark my post as a solution! This will help others on the forum!

Appreciate your Kudos!!

Proud to be a Super User!!

Anonymous
Not applicable

 
 

image.png

Hi @Anonymous ,

Based on your picture, cannot determine the specific reason of this formula, but creating a measure may be a alternative way to achieve this. This is a good refresher on circular dependencies: Understanding-circular-dependencies 

If still not help, you can consider sharing a dummy .pbix file and expected output for further discussion.

 

Best Regards,
Yingjie Li

If this post helps then please consider Accept it as the solution to help the other members find it more quickly.

harshnathani
Community Champion
Community Champion

HI @Anonymous ,

 

Can you share the measures and sample data for this.

 

Regards,

Harsh Nathani

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