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I'm trying to take the data from Tables 1 & 2 to create a report based on selected Make/Model. The challenge is that each Make/Model has 3 fields for general value adjustments.
In order to keep it consistent, I just call them ValueAdj1, ValueAdj2, and ValueAdj3. Using Table 2 which provides the actual name of the value adj by Make/Model/ValueAdj, I need to create a report and rename the ValueAdj 1-3 to their ACTUAL name. The first green report below shows The Toyota Camry. Then when you change the Make/Model to Nissan Altima, the 3 column headers are renamed to their corresponding ValueAdj header names per the reference table for Nissan Altima.
I've researched this in detail and seen multiple possibilities including variables but I still get stuck.
Any ideas?
Solved! Go to Solution.
Hi @Pfin
Power BI doesn't allow dynamic renaming of columns in visuals, unlike Excel. A workaround involves creating a table with all potential column name and value combinations and utilizing a slicer to filter the displayed columns based on user preferences. This approach provides a flexible solution, though it's important to note that there isn't a universal fix for this issue. I've discussed this in detail in a vlog.
https://www.youtube.com/shorts/CHEneTrZav0
https://www.youtube.com/watch?v=8U88ZRMsCI8&ab_channel=PowerBITambayan
The link to a sample pbix is posted on the video description.
Hi @Pfin
Power BI doesn't allow dynamic renaming of columns in visuals, unlike Excel. A workaround involves creating a table with all potential column name and value combinations and utilizing a slicer to filter the displayed columns based on user preferences. This approach provides a flexible solution, though it's important to note that there isn't a universal fix for this issue. I've discussed this in detail in a vlog.
https://www.youtube.com/shorts/CHEneTrZav0
https://www.youtube.com/watch?v=8U88ZRMsCI8&ab_channel=PowerBITambayan
The link to a sample pbix is posted on the video description.
Hi @Pfin ,
This seems to be an unsupported feature. What I can think of is that the table originally had these columns, and then filtered by slicer to filter the table data.
Hope it helps!
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
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