I'm struggling to describe this problem so it's proving elusive to search for a solution. I trust, however, that there's a way forward with Alteryx. Here's the scenario:
We have layouts that are effective for periods of time. When new ones arrive, they succeed prior versions of those layouts. The data has a layout ID which is unique to each event, and a prior layout ID along with effective dates. The effective dates are not necessarily reliable are are included here for illustration purposes.
I need to link these sequences of layouts together as a 'layout group' so I can run analysis on what has changed with these layouts. I've been playing with a multi-row formula but am struggling to put my thumb on the process to make this work.
Here's what initial data might look like:
| Current Layout | Prior Layout | From | To |
| 14 | 12 | 12/1/2018 | 1/1/2019 |
| 13 | 11 | 12/1/2018 | 1/1/2019 |
| 12 | 10 | 11/1/2018 | 12/1/2018 |
| 11 | 9 | 11/1/2018 | 12/1/2018 |
| 10 | 8 | 10/1/2018 | 11/1/2018 |
| 9 | 7 | 10/1/2018 | 11/1/2018 |
| 8 | 6 | 9/1/2018 | 10/1/2018 |
| 7 | 5 | 9/1/2018 | 10/1/2018 |
| 6 | 4 | 8/1/2018 | 9/1/2018 |
| 5 | 3 | 8/1/2018 | 9/1/2018 |
| 4 | 2 | 7/1/2018 | 8/1/2018 |
| 3 | 1 | 7/1/2018 | 8/1/2018 |
And this is what I'm looking to transform it to, with the layout grouping to flag:
| Current Layout | Prior Layout | From | To | Layout Group |
| 13 | 11 | 12/1/2018 | 1/1/2019 | 13 |
| 11 | 9 | 11/1/2018 | 12/1/2018 | 13 |
| 9 | 7 | 10/1/2018 | 11/1/2018 | 13 |
| 7 | 5 | 9/1/2018 | 10/1/2018 | 13 |
| 5 | 3 | 8/1/2018 | 9/1/2018 | 13 |
| 3 | 1 | 7/1/2018 | 8/1/2018 | 13 |
| 14 | 12 | 12/1/2018 | 1/1/2019 | 14 |
| 12 | 10 | 11/1/2018 | 12/1/2018 | 14 |
| 10 | 8 | 10/1/2018 | 11/1/2018 | 14 |
| 8 | 6 | 9/1/2018 | 10/1/2018 | 14 |
| 6 | 4 | 8/1/2018 | 9/1/2018 | 14 |
| 4 | 2 | 7/1/2018 | 8/1/2018 | 14 |
And as a side question, what in the world would this exercise be called? I'm sure it's been done before but am struggling to name it.