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Hi there, how can I achieve the below data transformation? The reason is I have two separate table with the same data structure that I need to compare using a matrix visual. At the moment the Type value from the first table splits the type into 3 different rows and then the type value from the second table is repeated each time so it looks like output table below.
From:
Name | Type |
Bob | A |
Bob | B |
Bob | C |
To:
Name | Type |
Bob | A B C |
Bob | A B C |
Bob | A B C |
Current output:
Name | Table 1 | Table 2 |
Bob | A | A |
B | ||
C | ||
B | A | |
B | ||
C | ||
C | A | |
B | ||
C |
Desired output:
Name | Table 1 | Table 2 |
Bob | A B C | A B C |
Solved! Go to Solution.
Hi @Hayleysea,
I'd like to suggest you write a measure formula to use a current category to look up correspond records and merge them into one and use it on matrix. It will show the expected result as you wanted.
measure =
CALCULATE (
CONCATENATEX ( VALUES ( Table1[Type] ), [Type], " " ),
FILTER ( ALLSELECTED ( Table1 ), [Name] IN VALUES ( Table2[Name] ) )
)
Regards,
Xiaoxin Sheng
Hi @Hayleysea,
I'd like to suggest you write a measure formula to use a current category to look up correspond records and merge them into one and use it on matrix. It will show the expected result as you wanted.
measure =
CALCULATE (
CONCATENATEX ( VALUES ( Table1[Type] ), [Type], " " ),
FILTER ( ALLSELECTED ( Table1 ), [Name] IN VALUES ( Table2[Name] ) )
)
Regards,
Xiaoxin Sheng
@Hayleysea , If you have common dimension Table Name joined with Table A and Table B, Then this should work.
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