![](https://lh4.googleusercontent.com/-iT-M-TfNaP0/TlfxXh0yXII/AAAAAAAAB5k/A_jP513rqRk/s800/F12010HAMbelngear.jpg)
![](https://lh3.googleusercontent.com/-5Wku5Wnj-GU/TlfxR7_4V_I/AAAAAAAAB5M/k1pnPVM4u-8/s800/f12010HAMbelturn1.jpg)
![](https://lh6.googleusercontent.com/-e30rVO2XH7M/TlfxS5NDR1I/AAAAAAAAB5Q/BQSHzjuYaLc/s800/f12010HAMbelturns234.jpg)
![](https://lh4.googleusercontent.com/-EdYJarIL2hw/TlfxTqDWKHI/AAAAAAAAB5U/dN2Y7iFbmCQ/s800/f12010HAMbelturns56789.jpg)
![](https://lh4.googleusercontent.com/-IpF9nF2nK90/TlfxUjlqBeI/AAAAAAAAB5Y/1xQfVarQFNQ/s800/f12010HAMbelturns1011.jpg)
![](https://lh3.googleusercontent.com/-BOwLPKsfTk4/TlfxWUO6T6I/AAAAAAAAB5g/g-leVMC07sg/s800/f12010HAMbelturns12131415.jpg)
![](https://lh6.googleusercontent.com/-m02vOMBBI_A/TlfxVq6ULDI/AAAAAAAAB5c/Tvajzpenj4g/s800/f12010HAMbelturns16171819.jpg)
The node size for zero braking is quite large in the previous images. Here's a view that highlights the actual braking areas:
![](https://lh6.googleusercontent.com/-Vd3o1Glqflo/Tlf0Dh7sXII/AAAAAAAAB5o/q-dLlOIXcns/s800/f12010hambelbraking.jpg)
And here's HAMilton at or near full throttle:
![](https://lh6.googleusercontent.com/-7EMfHDDNfxs/Tlf1McaxIeI/AAAAAAAAB5s/-lQfUYMLVG0/s800/f12010hambelfulltrhottle.jpg)
For a great introduction to deciphering the rather more detailed telemetry available to the teams, see ScarbsF1: Telemetry and Data Analysis Introduction
Telemetry data captured (h/t @bencc) from the McLaren F1 Live Dashboard during the race last year, probably Copyright (©) McLaren Marketing Ltd 2010.
OK, here goes again. Essentially I wanted to comment to say thanks for this analysis and the visualisation of it. I find this fascinating. I recently been trying to learn a little about data visualisation following the recent surge in popularity and the focus a visualisation can bring to data turning it from data to information. I have recently seen some TED talks video's by Hans Rosling which have provoked my interest further. In one of his talks he presented a balloon race chart and I was wondering if there is commercial or open source software available to create visualisations like this?
ReplyDelete@Mark (Thanks for the comment - apols for any problems posting comments previously... )
ReplyDeleteThe chart that Hans Rosling used is called a motion chart. Google bought the company and offer the chart as a chart tool http://code.google.com/apis/chart/interactive/docs/gallery/motionchart.html
There's also a desktop app - http://www.gapminder.org/desktop/ - though I'm not sure if you can run your own data with it.
I did start to look at trying to generate motion chart based visualisations of F1 races, but at the time my data model was a little broken: http://blog.ouseful.info/2011/04/26/a-first-attempt-at-looking-at-f1-timing-data-in-google-motion-charts-aka-gapminderf/
I've recently discovered that motion charts can be generated quite easily from within the R statistical programming environment ( http://code.google.com/p/google-motion-charts-with-r/ ), though I haven't tried it out yet...
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