Did we all see this? Phillip Niemeyer of Double Triple pictures the past ten years in this Op-Chart for The New York Times. Each row is a theme, and each column represents a year. For example, the champion rep for 2007 is Tiger Woods or collagen as the fad of 2002. Oh how times change.
Have a happy new year everyone. Be safe.
[via WeLoveDataVis]
Merry Christmas, everyone! I hope you're having a great holiday season so far. Good food, good company, and more good food.
This will be my last post for the year, but don't fret. FlowingData will return to its regularly scheduled programming January 1. Take a look through the archives if you start to go through withdrawl. Don't worry - it's all going to be okay.
See you all next year.
This experiment (below) by graduate student Pedro Miguel Cruz shows the decline of Maritime empires during the 19th and 20th centuries .
Pedro explains:
I don’t wanna call this small experiment of information visualization neither information art. Either way sounds too pretentious - as the visuals are not very sophisticated or elegant, and the way that the information is treated doesn’t enable the extraction of advanced knowledge. Although, it works very well as a ludic narrative. I ultimately found it very joyful.
So sit back and enjoy. It's fun to watch.
Let's for a second consider an alternative to view this data more analytically for some more insight and what not. I'm thinking an area graph ala Fernanda Viegas and Martin Wattenberg's History Flow for Wikipedia dynamics could be interesting. What do you think?
In celebration of Information Aesthetics' birthday, Moritz Stefaner of Well-formed Data adapted his elastic lists concept to all five years of infosthetics posts. Each white-bordered rectangle represents a post, and colors within rectangles indicate post categories.
Select categories on the right, and the list updates to show related categories. Similarly, filter posts by year, author, and/or number of categories. Select a rectangle to draw up the actual post.
Go on, give it a try for yourself. Excellent work.
And then head over to infosthetics and wish it a happy birthday.
Statisticians are generally behind the times when it comes to online applications. There are a lot out-dated Java applets and really rough attempts at getting R, a statistical computing environment, in some useful form through a browser. So imagine my surprise when I tried this tool by Jeroen Ooms, a visiting scholar at UCLA Statistics.
It actually works pretty well, and for a prototype, it isn't half bad.
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