Hello
I received an ugly horizontal data set. Here is an example of what it looks like (note, there are 66 names in my data with about 73 dates):
Morrison, Jim | Joplin, Janice | Winehouse, Amy | |||||
1/1/15 | hours | rate | hours | rate | hours | rate | |
Type 1 | 1/1/15 | ||||||
Type 2 | 1/1/15 | 15 | 18 | 17.75 | |||
Type 3 | 1/1/15 | ||||||
2/1/15 | hours | rate | hours | rate | hours | rate | |
Type 1 | 2/1/15 | ||||||
Type 2 | 2/1/15 | 15.25 | 18.5 | 18.25 | |||
Type 3 | 2/1/15 |
Here is the output I need:
Date | Name | Rate |
1/1/15 | Morrison, Jim | 15 |
2/1/15 | Morrison, Jim | 15.25 |
1/1/15 | Joplin, Janice | 18 |
2/1/15 | Joplin, Janice | 18.5 |
1/1/15 | Winehouse, Amy | 17.75 |
2/1/15 | Winehouse, Amy | 18.25 |
I have already attempted this a few ways, but I am not able to solve it. Is there anything like a Multi-Column tool I could use to pair the rates in D, F, and H with the names in C, E, and G?
Any guidance on this one is much appreciated.
Thanks in advance.
Jen
Solved! Go to Solution.
Hi @JBO
Please find attached a sample workflow which gets the desired output. I have added annotations within the workflow.
Best,
Jordan
@JordanB, thank you so much! This is awesome.
My data is more complicated than what I shared here and I was able to use this as a foundation.