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Want to get a visual high today? The infographic masterpiece Random Walk [] ask the question "What does Randomness Look Like?" It attempts to give the answer(s) by showing the mysterious interactions of chaos and the order in randomness by simulating randomness in visualizations which are easy to understand.

The portfolio webpage contains a collection of zoomable illustrations, with detailed explanations plus summary captions in the yellow speech balloons on the right. Experimental visualized datasets include the constant number pi, the so-called Poisson distribution, the empirical results behind the normal distribution, the distribution of prime numbers, the first-digit law also called Benford's Law, the surface area calculation Monte Carlo Method, the Law of Large Numbers, an atom's or molecule's Brownian Motion, an atom's Half Life, the chaotic motion of a double pendulum, pseudo random number generation, and many more.

The project's author, Daniel A. Becker, adds this project to an already impressive portfolio, including the previously posted Barcode Plantage and the for-the-infosthetics-addict still unknown Visual DNA (discover!).

Based on these works, I think we certainly will see and hear more from him in the future. Do you agree?

Thnkx Daniel.






I'm curious - why do you say "so-called Poisson distribution"? Should it be called something else?

Fri 29 May 2009 at 8:41 PM

Beautiful and fascinating.
But the colors used are misleading in many places. I simply dont understand the principles applied(artistic?) and some simple mistakes like linear scaling of areas, e.g the petals in the poisson distribution. This problem seems to haunt petals, like with the winner of the paper visualization contest.

Sat 30 May 2009 at 1:25 AM
Jörgen Abrahammson

@Chris: No, I do not think it should be called something else. I used the expression (seemingly wrongly) to denote something-others-call Poisson Distribution but-I-have-no-clue-what-it-means-myself.

@ Jörgen: Thnkx for the constructive critique. I hope Daniel appreciates this as well.

Sat 30 May 2009 at 4:27 PM

Agreed it probably sounds fishy if you haven't heard of it. Thanks for linking to such an excellent resource.

Sun 31 May 2009 at 3:53 AM
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