Hi there!
Unfortunately I have come across a problem I can not solve. Hopefully someone here can help me!
I have one dataset, which includes several tasks that are performed partially parallel.
I would like to get rid of parallel tasks, for which I feel like I need to first break-up all tasks so the end of one task is the start of another (without losing any data).
As an example, task A is from 01:00-02:00 and task B is from 01:30-02:30, I believe I first need to turn these two tasks into four tasks:
A: 01:00-01:30
A: 01:30-02:00
B: 01:30-02:00
B: 02:00-02:30
However, knowing what to do is one thing, I'm not succeeding at doing it.
Any suggestions on how to perform this explosion/break-up of tasks?
This is part of the data I'm using:
Task # | Start | End | Priority |
1 | 00:00:00 | 01:00:00 | 1 |
2 | 00:45:00 | 01:30:00 | 3 |
3 | 02:00:00 | 02:30:00 | 2 |
4 | 01:00:00 | 03:30:00 | 4 |
5 | 03:00:00 | 04:00:00 | 2 |
Which I hope to turn into:
Task # | Start | End | Priority |
1 | 00:00:00 | 00:45:00 | 1 |
1 | 00:45:00 | 01:00:00 | 1 |
2 | 00:45:00 | 01:00:00 | 3 |
2 | 01:00:00 | 01:30:00 | 3 |
4 | 01:00:00 | 01:30:00 | 3 |
4 | 01:30:00 | 02:00:00 | 4 |
3 | 02:00:00 | 02:30:00 | 2 |
4 | 02:00:00 | 02:30:00 | 4 |
4 | 02:30:00 | 03:00:00 | 4 |
4 | 03:00:00 | 03:30:00 | 4 |
5 | 03:00:00 | 03:30:00 | 2 |
5 | 03:30:00 | 04:00:00 | 2 |
Below I've added a screenshot of how the broken-up tasks could look like.
Solved! Go to Solution.
Very clever! Thanks a lot!