Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
I want to tranform the snapshot below with variable row to standardized column layout. This needs to be a Power Query solution. The desired layout is one name and address with respective accounts and values for each row. Any help is appreciated on this. Thanks!
Desired Layout:
Name / Address / Account1 / Cat1 / Cat2 / Cat3 / Cat4 / and so on...
Name1 / Address1 / Same Account1 / Value1a / Value 1b / Value1c / Value1d / and so on...
Name2 / Address2 / Same Account1 / Value1a / Value 1b / Value1c / Value1d / and so on...
Solved! Go to Solution.
Here is the solve on this. It's slightly modified from the desired table above as it does not have the placeholder Account columns but the respective Account columns are easily identifiable. The key is to merge the values columns by a unique delimliter, pivot, and split columns by same delimiter. Just have to think about data differently a bit.
@jcarrier sorry not fully sure about your requirement, can you explain further in detail.
Subscribe to the @PowerBIHowTo YT channel for an upcoming video on List and Record functions in Power Query!!
Learn Power BI and Fabric - subscribe to our YT channel - Click here: @PowerBIHowTo
If my solution proved useful, I'd be delighted to receive Kudos. When you put effort into asking a question, it's equally thoughtful to acknowledge and give Kudos to the individual who helped you solve the problem. It's a small gesture that shows appreciation and encouragement! ❤
Did I answer your question? Mark my post as a solution. Proud to be a Super User! Appreciate your Kudos 🙂
Feel free to email me with any of your BI needs.
The layout has to be standardized regardless of the number of variable accounts for each name. Here is a truncated snapshot of the desired layout. Hope that helps.
Here is the solve on this. It's slightly modified from the desired table above as it does not have the placeholder Account columns but the respective Account columns are easily identifiable. The key is to merge the values columns by a unique delimliter, pivot, and split columns by same delimiter. Just have to think about data differently a bit.
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
113 | |
97 | |
79 | |
73 | |
56 |
User | Count |
---|---|
145 | |
105 | |
104 | |
90 | |
63 |