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I did not know how to put my question properly in the Subject so I will elaborate.
Suppose I have one table (imported through a CSV/TSV) which looks like this -
ColumnA | ColumnB |
1 | Liz Lemon |
2 | Michael Scott |
1 | Chandler Bing |
3 | Ron Swanson |
4 | David Rose |
I have another table (imported through a CSV/TSV) which has only one column
ColumnA |
1 |
I want to show only those rows in the first table for which ColumnA values match the ColumnA values in the second table.
So the output I want is
ColumnA | ColumnB |
1 | Liz Lemon |
1 | Chandler Bing |
I want to show this final output above inside a TABLE visual in the report.
I have tried INNER JOIN-ing the two tables but the result somehow doesn't get reflected in the TABLE visual, which is what I need.
Please help if possible.
Solved! Go to Solution.
I don't want to use a visual level filter as both the columns actually have a LOT of rows.
If the table with only 1 column has unique values then you can create a 1-to-many relationship between the tables and use ColumnA from the 1 side in your table visual along with ColumnB from the many side.
Hi @tintinsherlock ,
Merge Table one with table two based on the column A, then select rigth outer:
https://docs.microsoft.com/en-us/power-query/merge-queries-overview
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsThanks. I tried this and this worked.
@tintinsherlock , Create a measure and use that with the ungrouped column of a table 1 or use a visual level filter
measure =
countrows(filter( Table1, Table1[ColumnA] in values(Table2[ColumnA]) ) )
I don't want to use a visual level filter as both the columns actually have a LOT of rows.
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