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hbirk
Frequent Visitor

Hierarchical slicer for multiple columns

Hi!

 

I have data that is structured something like this:

hbirk_2-1667395224777.png

 

 

 

Where the numbers in each cell are linked to each individual but identical explanation tables that look like this:

 

hbirk_0-1667395095290.png

 

I am wondering if there is a way to create a single slicer to for slicing all three columns at once, preferably structured like this:

 

UK 
 Yes
 No
 Applying
 BeingConstructedFor
 Expired
 Candidate
Sweden 
 Yes
 No
 Applying
 BeingConstructedFor
 Expired
 Candidate
Ireland 
 Yes
 No
 Applying
 BeingConstructedFor
 Expired
 Candidate

 

with each country having their own dropdown list in an hierarchical slicer?

 

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@hbirk , Better to unpivot table 1(Then split the column) , Then you can drag country from table 1 and meaning from table 2 in visual

 

https://radacad.com/pivot-and-unpivot-with-power-bi
https://learn.microsoft.com/en-us/power-query/split-columns-delimiter

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View solution in original post

4 REPLIES 4
Anthonyblanco
New Member

It's looking good and doesn't need to be added in additional rows. 

Anthonyblanco
New Member

Facing same... but its fine on my end 🙂 

amitchandak
Super User
Super User

@hbirk , Better to unpivot table 1(Then split the column) , Then you can drag country from table 1 and meaning from table 2 in visual

 

https://radacad.com/pivot-and-unpivot-with-power-bi
https://learn.microsoft.com/en-us/power-query/split-columns-delimiter

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube

The tables are pulled from a database, and all rows contain additional information as well. When unpivoting it creates a lot of extra rows, Will this affect performance or is there a way around this?

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