I have two datasets:
- Ingested ingredients at a point in time
| 24/04/2016 11:56:33 | Tomatoe |
| 24/04/2016 11:56:33 | White rice |
| 24/04/2016 14:34:01 | Mars Bar |
| 24/04/2016 12:45:05 | Flatulence |
| 24/04/2016 14:34:01 | Stomach Pain |
Could anyone point me in the direction of how I could find relationships between these two datasets. I can see 2 things which may be important
The proximity of the cause to the event (if a symptom arose a minute after the ingredient was ingested it seems unlikely to be the cause.
That a symptom isn't an event at a singular point in time and may slowly get worse, then slowly get better.
Any suggestion or links to resources would be appreciated. BTW I'm not a mathematician.