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I am very new in this world of power BI,
Here is my problem: I wanted to calculate the difference between two columns on each column in a different table, here is the formula I use Ecart2 = ifp_vte1[Mt HT] - RealiseN[Mt HT],
And this reminds me of the following error: It is impossible to determine a unique value for the 'Mt HT' column of the 'ifp_vte1' table. This can occur when a measurement formula refers to a column that contains many values, without specifying aggregation such as min, max, count, or sum to get a single result.
Solved! Go to Solution.
Hi @Betissa,
According to your description and the table structure you provided above, I would suggest you to use Merge Query option to merge the "ifp_vte1" table and "RealiseN" table to a single table first, then you should be able to use the formula below to create a calculate column to calculate the difference.
Ecart2 = newMergedTable[Mt HT1] - newMergedTable[Mt HT2]
For more details about how to use Merge Query option in Power BI Desktop, please refer to this article.![]()
Regards
Hi @Betissa,
are there any relationships between your tables in the model?
Can you provide a screenshot of the relationship-view and/or some sample data of what the tables look like?
Frank
No there is no relationship
Hi @Betissa,
According to your description and the table structure you provided above, I would suggest you to use Merge Query option to merge the "ifp_vte1" table and "RealiseN" table to a single table first, then you should be able to use the formula below to create a calculate column to calculate the difference.
Ecart2 = newMergedTable[Mt HT1] - newMergedTable[Mt HT2]
For more details about how to use Merge Query option in Power BI Desktop, please refer to this article.![]()
Regards
Cool,
1. Without relate the table how can we create calculation ?
2. If u create calculated measure u should define the Agregation it is must.
My Suggestion :
Create relationship between these two tables and try.
or
U don't want relationship . u want only Difference ? then use sum() infront of column
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