My Time at N Brown – A Running Retrospective

A review of all my runnning during my time at N Brown

Transcript

1. My Time at N Brown – A Running Retrospective Starring: Strava, R, and perspiration
2. About me
3. What I think I look like running – Buxton Carnival Run 2017 After 2 miles
4. What I actually look like running – Canalathon 2018 After 21 miles Not having a good time
6. Time Data Science For
8. https://github.com/fawda123/rStrava
9. Extracted Data
10. When did Chris run?
11. How did Chris run?
12. Can we predict how Chris will run?
14. Our base dataset for modelling
17. The Model
18. How can we add in some form of effort?
21. No Data for You!
25. The New Model
26. What else could we use?
27. Standard name of run Distance (Sometimes) A countdown to an event A pithy comment How can we parse this? Rochdale Canal – 10K – T-47 Days – This is just a test
28. Tell me your emotions
30. More data?
31. Introducing the stream
32. Intra-run Data
33. Intra-run Data
34. What did I learn? I am a man with a clear running routine No pattern to my runs when looked at for the run as a whole There’s little correlation between how I feel about the run, and how fast the run was However, the runs themselves have a tendency to play out the same
35. What happened next?
36. yobrenoops chris-billingham