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. 😁
