Transpose columns into multiple rows
I have this data set:
Member ID | 23-Jan | 23-Feb | 23-Mar | 23-Apr | 22-Jan | 22-Feb | 22-Mar | 22-Apr |
---|---|---|---|---|---|---|---|---|
123 | 33 | 41 | 23 | 23 | 32 | 32 | 34 | 34 |
456 | 4 | 15 | 15 | 15 | 6 | 6 | 2 | 2 |
789 | 2 | 4 | 8 | 8 | 8 | 4 | 8 | 12 |
111 | 24 | 24 | 26 | 26 | 27 | 22 | 27 | 27 |
222 | 3 | 12 | 12 | 13 | 14 | 14 | 12 | 12 |
333 | 2 | 1 | 1 | |||||
444 | 2 | 2 | 2 | 5 | 6 | 8 | 10 | 11 |
The date columns represent the amount of logins to their account by month. I want to be able to consolidate this data into one column so that I can put this into cards more easily. I assume there would be \ 33 rows for member "123" that say Jan 23, and then 41 rows for the same member that show Feb 23, etc. This will be a monthly update, so the less manual labor the better.
How can I combine these columns into 1? Thanks in advance!
Best Answers
-
You can utilize Magic ETL and the Dynamic Unpivot tile to take your columns and convert it to rows.
Here's more information:
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**1 -
Just to be clear, using the Dynamic Unpivot tile in ETL will not quite get the results you described. You would end up with three columns:
"MemberID" | "Date" | "Value"
123 23-Jan 33
You would not get 33 rows for member 123 in Jan.
“There is a superhero in all of us, we just need the courage to put on the cape.” -Superman0
Answers
-
You can utilize Magic ETL and the Dynamic Unpivot tile to take your columns and convert it to rows.
Here's more information:
**Was this post helpful? Click Agree or Like below**
**Did this solve your problem? Accept it as a solution!**1 -
Just to be clear, using the Dynamic Unpivot tile in ETL will not quite get the results you described. You would end up with three columns:
"MemberID" | "Date" | "Value"
123 23-Jan 33
You would not get 33 rows for member 123 in Jan.
“There is a superhero in all of us, we just need the courage to put on the cape.” -Superman0
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