Data Visualization

Data Visualization Montage

Posted on: September 23rd, 2010 by Mason Brown + Comment

 

Data visualizations are all the rage these days and they won't be going away anytime soon. Well designed data visualizations are not only delicious eye candy, but also provide meaningful ways to navigate, calculate and rationalize a body of data. There are many channels to find inspirational data vis projects, but what separates the good ones from the great ones are found in the details. Great visualizations achieve a harmonious balance of information, granularity, motion and audio. Great visualizations possess an ambient simplicity that transcends time and will remain memorable for years to come. I put together a short montage to showcase a few of my favorite data visualizations from the past few years. Some are interactive, some experimental, and some purely fictional. Watch below:


Credits, in order of appearance:

Own Your Own C
Nike ACG Sweetspots
Barcode Plantage
Uniqlo Try
Synoptic
Mark Coleran
Radiohead - Build Your Own Rainbow
BMW Efficient Dynamics
Radiohead - House Of Cards
Flight 404 - Solar with Lyrics
Synchronous Objects
MK12 - Stranger than Fiction
Porogue - Iron Man
IBM & Motion Theory

audio: Big Boi's Shutterbug (Jack Beats Remix)

Tweetelection’s Tweetfographics

Posted on: March 11th, 2010 by Mason Brown + Comment

 

tweetlection

tweetelection

There has certainly been a recent surge in twitter-related data visualization. People love to aggregate all the online chatter into visualizations that are easy to digest. This a good way to identify trending topics and popular thought. Tweetlection, built by Sense Internet, is a interesting new online tool that harvests and analyzes thousands of tweets each day so that you can see what Tweeters have been saying about the three main political parties in the past 7 days. They use interactive graphs to let you explore how twitter users have reacted to the events of the last week. You can drag and select a particular time period, use key words to focus on a particular topics and see how Tweet volumes for this topic have varied over time.