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I have a query that comes from multiple databases with many columns each.
From the query I want to extract 10 columns (number of projects)
The problem is that in the future there will be more projects, therefore more columns that interest me.
I have these projects on a list, which will be increased as there are more projects.
Is there a possibility to expand columns using only the names that appear in the list?
Thanks a lot!
I understand that what I'm asking for can't be done with Power BI, right?
The problem comes from the database, which is a database in matrix format (I can't change it) and above it's a range and not a table (I can't change it either):
This is a record of hours and each column is a "task".
Before depivotizing, I have to select which columns I do not want to use (which are many). But in the future, when I create new tasks, I do not want to be changing the report.
Of course.
On the one hand I have a query with many columns, most of them do not serve me. When it comes to expanding the query, I could filter only by the ones I need, but in the future I will need other new columns, so in order for them to appear in the report, I would need to go back to the transformer and select the new columns:
On the other hand I have a list with the columns I need. In the future, when there are new projects, I will include them in this list:
I would like, that when expanding I only take the columns that match the names of the list. It's possible?
Thanks a lot!
This would be the list
Can you please provide a detailed example with the input and the expected output ?
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