Via Claudia Augusta in mountain bike

August 12, 2015
By

[This article was first published on RSS Feed - SaS in #R#, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Salvino A. Salvaggio, PhD


In this blog I publish data analysis cases based on the R statistical language. No statistical or mathematical theory here, no discussions of the R language, no software tutorials, but only concrete case studies using existing R tools.
To download R code and dataset, click here (1.6 MB).



From 19 to 25 July 2015, I crossed the Alps in mountain bike, starting in Augsburg (Bavaria, Germany) and arriving in Bolzano (Italy). I covered myself and the bike in sensors, and here is a summary of the data collected:

  • Total time: 21 hours 50 seconds
  • Total active time: 20 hours 45 seconds
  • Total distance: 388.8 km
  • Total pedals revolutions: 63.060
  • Total heart beats: 175,628 (max heart rate: 167 bpm)
  • Mean temperature overall: 28.5 C
  • Maximum temperature: 41 C
  • Minimum temperature: 18 C
  • Maximum altitude: 1523.5 m
  • Minimum altitude: 265 m
  • Positive level difference: 5432 m
  • Negative level difference: 5532 m
  • Uphills (more than 3%): 76.7 km
  • Downhills (more than 3%): 75.4 km
  • Mean speed: 17.8 km/h
  • Maximum speed: 66.2 km/h
  • 78593 GPS points collected

Videos available on Youtube.

Percorso

altitudine
on the third day, a weather alert did not allow us to bike up the mountain and we had to use public transportation.
That explains the sudden increase in altitude.

cadenza

heartRate

velocita


To leave a comment for the author, please follow the link and comment on their blog: RSS Feed - SaS in #R#.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)