I have the following Demo Dataset:
RecordID | Process | Timestamp | Recipe |
1 | Inlay | 07.12.2021 07:54 | A |
2 | Suspension | 07.12.2021 07:54 | A |
3 | Suspension | 07.12.2021 08:09 | A |
4 | Suspension | 07.12.2021 09:29 | A |
5 | Release | 07.12.2021 09:31 | A |
6 | Manual Entry | 07.12.2021 09:40 | A |
7 | Suspension | 08.12.2021 05:10 | A |
8 | Suspension | 08.12.2021 05:12 | A |
9 | Inlay | 08.12.2021 06:00 | B |
10 | Inlay | 08.12.2021 07:00 | B |
11 | Inlay | 08.12.2021 07:30 | B |
12 | Suspension | 08.12.2021 08:00 | B |
13 | Release | 08.12.2021 09:00 | B |
14 | Manual Entry | 08.12.2021 10:00 | B |
What I´m trying to achieve:
Group all same Rows based on column Process which are consectuive (same Process-Name can appear multiple times -> f.e. Suspension on RecordID 2,3,4 and 7,8)
And within each group only keep the last timestamp.
Desired Output would be:
RecordID | Process | Timestamp | Recipe |
1 | Inlay | 07.12.2021 07:54 | A |
4 | Suspension | 07.12.2021 09:29 | A |
5 | Release | 07.12.2021 09:31 | A |
6 | Manual Entry | 07.12.2021 09:40 | A |
8 | Suspension | 08.12.2021 05:12 | A |
11 | Inlay | 08.12.2021 07:30 | B |
12 | Suspension | 08.12.2021 08:00 | B |
13 | Release | 08.12.2021 09:00 | B |
14 | Manual Entry | 08.12.2021 10:00 | B |
Any ideas how to achieve this with Alteryx ?
Thanks in advance for any help
Solved! Go to Solution.
Great, works flawless thanks alot @atcodedog05
Happy to help : ) @listale
Cheers and have a nice day!
@listale
We can do something like this.
also works, thanks @Qiu
@listale
Glad to help and thank you for the accept mark. 😁