The Tour 2014 is over and has a winner – Vincenzo Nibali. As some readers asked how they could analyze the data interactively themselves, I post this video by Antony Unwin, who looked at the 2013 data, which was the 100th anniversary of the Tour. If you are inspired now, go download the data and […]
Well, to be honest, I see a far higher chance for him to win the tour, but first let’s look at the data. Having collected 10 years of Tour de France data, it is time to look at structural features of a whole tour. With a sample size of 10 (yes, still far away from […]
It is bold to post this after 30 mins in the game, but what can you say … (Just to make sure, this is just meant as an example for effective visualization 😉 )
After the first 4 stages passed, I will start to log the results in the usual way as in 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 and 2013 now: Stage Results cumulative Time Ranks (click on the images to enlarge) – each line corresponds to a rider – smaller numbers are shorter times, i.e. better ranks – all […]
Graphics of Large Datasets:
Visualizing a Million
Numbers Rule Your World:
The Hidden Influence of Probabilities and Statistics
on Everything You Do
Interactive and Dynamic Graphics for Data Analysis:
With R and GGobi (Use R)