5 ms·

while i have the attention of HN, does anyone have suggestions on any other types of statistic visualizations?

by vicapow 13y ago

pseut 13y ago
MCMC
zacharypinter 13y ago
I'd like to hear the answer to this as well. Especially in light of some of Bret Victor's recent talks, I'm very eager to hear about tools and visualizations that enhance thinking and learning.
tristanz 13y ago
Some of the best advanced statistical visualizations I've seen are by Theory: http://theory.info/visuals http://theory.info/visuals.
Tycho 13y ago
Something that shows bids and offers converging to a market price. Not sure how you'd do it. In the Swensen/Yale finance lecture series on iTunes U they play a game with participants buying/selling items and a pattern emerges in the prices as if by magic.
btilly 13y ago
Brownian motion remains Brownian motion at all scales if you scale correctly. More specifically, if you take a rectangle of width 1/nth of your visualization box, height 1/sqrt(n)th of your visualization box, centered on the point of the walk in the middle of the box then zoom in, you get another random walk with the same statistical properties as the original.
- mturmon 13y ago
  There is a gif of this at http://en.wikipedia.org/wiki/Wiener_process#Self-similarity http://en.wikipedia.org/wiki/Wiener_process#Self-similarity which is rather nice. If you get some infrastructure for making Brownian motion sample paths, another good one is that it crosses zero infinitely often in the neighborhood of the origin. Keep zooming in, and see more and more crossings. This is another instance of the scaling rule you mention, but it is neat to see.
mturmon 13y ago
You could do a Poisson limit graphic. The result is at http://en.wikipedia.org/wiki/Poisson_limit_theorem http://en.wikipedia.org/wiki/Poisson_limit_theorem Basically, you need a whole lot of events which occur in an essentially independent way, and each one is rare. You add up the number of events that happened, and it is approximately Poisson. Something like tossing 1000 marbles into a 100x100 tile floor, and counting the number of marbles that landed in some 10x10 tile area.

while i have the attention of HN, does anyone have suggestions on any other types of statistic visualizations?

by vicapow 13y ago

while i have the attention of HN, does anyone have suggestions on any other types of statistic visualizations?

pseut 13y ago

MCMC

zacharypinter 13y ago

I'd like to hear the answer to this as well. Especially in light of some of Bret Victor's recent talks, I'm very eager to hear about tools and visualizations that enhance thinking and learning.

tristanz 13y ago

Some of the best advanced statistical visualizations I've seen are by Theory: http://theory.info/visuals http://theory.info/visuals.

Tycho 13y ago

Something that shows bids and offers converging to a market price. Not sure how you'd do it. In the Swensen/Yale finance lecture series on iTunes U they play a game with participants buying/selling items and a pattern emerges in the prices as if by magic.

btilly 13y ago

Brownian motion remains Brownian motion at all scales if you scale correctly. More specifically, if you take a rectangle of width 1/nth of your visualization box, height 1/sqrt(n)th of your visualization box, centered on the point of the walk in the middle of the box then zoom in, you get another random walk with the same statistical properties as the original.

mturmon 13y ago
There is a gif of this at http://en.wikipedia.org/wiki/Wiener_process#Self-similarity http://en.wikipedia.org/wiki/Wiener_process#Self-similarity which is rather nice. If you get some infrastructure for making Brownian motion sample paths, another good one is that it crosses zero infinitely often in the neighborhood of the origin. Keep zooming in, and see more and more crossings. This is another instance of the scaling rule you mention, but it is neat to see.

mturmon 13y ago

You could do a Poisson limit graphic. The result is at http://en.wikipedia.org/wiki/Poisson_limit_theorem http://en.wikipedia.org/wiki/Poisson_limit_theorem Basically, you need a whole lot of events which occur in an essentially independent way, and each one is rare. You add up the number of events that happened, and it is approximately Poisson. Something like tossing 1000 marbles into a 100x100 tile floor, and counting the number of marbles that landed in some 10x10 tile area.