Sunday, January 17, 2010

Thursday, January 14, 2010

2010

Well I've moved to Fairfax, VA. The DC area is hot.

I'm really excited about our new plugin API for Glasshouse; it's going to let lots of people build interactive, 3D applications which run in multiple virtual world platforms. I've already used it to produce a plugin called GridStack, which lets you choose columns from mysql databases and build graphs, stacking them in a correlated fashion... without leaving the virtual world or using ANY 2D user interface. This is the future of Glasshouse: visualizing the structure of datasources and using that within the virtual world to create visualizations of the data they contain. We'll be adding XMLA support next. Check out the video:

Thursday, November 19, 2009

correlation between swine flu news and reported flu cases

I put together a video showing Google flu trends data in Glasshouse; really interesting data. Check out the anomalous bump that I found.



Perhaps the explanation for the jump in reported flu cases in the northern hemisphere during the week of April 26th, 2009 was due to the WHO issuing their first Disease Outbreak Notice regarding swine flu, on April 24th...

wikipedia timeline

Tuesday, October 20, 2009

NFL Stats and Fantasy Points in 3D

OUR FANTASY FOOTBALL TOOL IS LIVE!!!

Green Phosphor now has the entire history of the NFL available for 3D graphing - and updated every week. Our fantasy football tool, which anyone can run inside our public Wonderland sandbox by going to the tools menu, lets you create a 3D graph of any combination of stats or fantasy points, for any position, year, or week. You can also define the way points are allocated for your league.



Ed has been hard at work on this for some time now and we are really proud of it! If you are playing fantasy football, please try out 3D visualization to get an edge! You will see patterns and trends like never before.

http://greenphosphor.com/ff.html

Sunday, September 20, 2009

MORE dimensionality

Often the solution to a prediction problem (model the supposed underlying phenomena using variables and relationships) requires a model with more dimensionality.

We have created a flatland where people are constantly trying to reduce dimensionality to that which is easily comprehensible, thereby missing the opportunity to develop models which SOLVE THE PROBLEM.

I posit that merely observing the data you have collected regarding some phenomena, using more dimensional visualization (while still comprehensible)... can only help in the above process.

This is what Glasshouse is about.

Arkowitz