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Transform table

joannasokolowska
8 - Asteroid

Hi colleague,

I would like to ask you for an advice regarding transforming table.

 

I have dataset as below (Training, A, Training B, etc are column names, and there are about 70 columns like this and could dynamically change). Also the list of emails will be growing.

 

Training ATraining BTraining CTraining D
505016020
2022-09-062022-07-092022-01-052022-06-09
tom.mayer@xyztom.mayer@xyzpeter.roll@xyzann.wilins@xyz
peter.roll@xyzkate.billing@xyz  
 matt.ron@xyz  
 alice.wood@xyz  

 

And as an output I would like to see it structure like this:

 

Training A502022-09-06tom.mayer@xyz
Training A502022-09-06peter.roll@xyz
Training B502022-07-09tom.mayer@xyz
Training B502022-07-09kate.billing@xyz
Training B502022-07-09matt.ron@xyz
Training B502022-07-09alice.wood@xyz
Training C1602022-01-05peter.roll@xyz
Training D202022-06-09ann.wilins@xyz

 

Thank you in advance!

Asia

4 REPLIES 4
binuacs
20 - Arcturus

@joannasokolowska one way of doing this

binuacs_0-1647898794200.png

 

Qiu
20 - Arcturus
20 - Arcturus

@joannasokolowska 
I basically followed the way of @binuacs and use the RegEx instead to be more accurate and flexible, I hope 😁

0322-joannasokolowska.PNG0322-joannasokolowska-1.PNG

joannasokolowska
8 - Asteroid

Thank you guys for a quick help!

Qiu
20 - Arcturus
20 - Arcturus

@joannasokolowska 
Glad to help and thank you for the accept mark.

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