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mtepzt
New Member

Linking two aggregated tables

Hello,

 

I have two tables aggregated from two sources each: table 1 and table 2

In table 1 i have columns: unit code (unique and not repeating), number of subscribers 1

In table 2 i have columns: unit code (can repeat for some rows), number of subscribers 2, chanel health (has three possible values: good, weak, excellent)

 

I want to create a merge table which will link these two tables based on unit code and give as a result a table containing the following columns: Unit code, number of subscribers 1, number of subscribers 2, chanel health

 

Using DAX expression in Power BI, I tried this: Merged_Table = NATURALINNERJOIN(table 1, table 2) but it says: No common join columns detected.  although unit code is a commun column......

 

Can you help me please I am blocked

Thanks

6 REPLIES 6
Idrissshatila
Super User
Super User

Hello @mtepzt ,

 

use lookup value to get column from another table based on a common column.

 

https://learn.microsoft.com/en-us/dax/lookupvalue-function-dax

 

 



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How can I add a column from source 1 in the legend for clustered column chart please??? Knowing that the column to add exists in both sources

Sorry that did not work... Can you please give me an example of a power query to do the merge? I can't establish the merge because my key is not unique so I am really struggling

mtepzt
New Member

It because my aggregated tables 1 and 2 does not show at all in power query editor... I only have the sources tables A and B to which no filter was applied. Table 1 and 2 are filter versioin of A and B respectively 

Idrissshatila
Super User
Super User

Hello @mtepzt ,

 

why don't you make it through power query, its much easier and straight forward.

 

check this out https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-shape-and-combine-data

 



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It because my aggregated tables 1 and 2 does not show at all in power query editor... I only have the sources tables A and B to which no filter was applied. Table 1 and 2 are filter versioin of A and B respectively 

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