UPDATE: I encountered a blog post by Martin Theus describing a very similar approach for looking at this same data (see here).

Disclaimer 1: This is a (very!) quick hack. No effort was put in it whatsoever regarding aesthetics, interactivity, scaling (e.g. in the barcharts), ... Just wanted to get a very broad view of what happened during the Tour de France (= biggest cycling event each year).

Disclaimer 2: I don't know anything about cycling. It was actually my wife who had to point out to me which riders could be interesting to highlight in the visualization. But that also meant that this could become interesting for me to learn something about the Tour.

Data was copied from the Tour de France website (e.g. for the 1st stage). Visualization was created in processing.

A couple of days ago I bumped into this tweet by Benjamin Wiederkehr (@datavis): "Article: TenderNoise http://datavis.ch/q9pIxq" It describes a visualization by Stamen Design and others displaying noise levels at different intersections in San Francisco. They recorded these levels over a period of a few days in order to get an idea of auditory pollution. More information is here.
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Hi there, and welcome to SaaienTist, a blog by me, for me and you. It started out long ago as a personal notebook to help me remind how to do things, but evolved to cover more opinionated posts as well. After a hiatus of 3 to 4 years (basically since I started my current position in Belgium), I resurrect it to help me organize my thoughts. It might or might not be useful to you.

Why "Saaien tist"? Because it's pronounced as 'scientist', and means 'boring bloke' in Flemish.
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