Around data

Looking around the web for data visualization practices it becomes obvious that the future of ‘market research’ lies at the blurred border between quali and quanti, where content will not strive for supersimplification, BUT complexity because it can simply and intuitively be handled with the latest programming languages (i.e. Processing, Phyton). Thanks to some bored bright kids looking for beauty and attention, research will become much more fun and much more genuine. At this moment in time, programmers are still fighting to find the balance between beautiful visualization and effective visualization.

Here’s what I came across in ~2 hours!

Twistori.com displays tweets in real time based on your selection of a key word:

The digg arc (from digg labs) creates stories following threads of discussion:

We feel in colors. With Adobe Kuler people can tag the colors used in their projects, to visualize the feeling of the concept. How would you describe ‘a nice surprise’ in colors?

And what’s the shape of a song? Martin Wattenberg shares many examples of a song shape in blue circles:

Or you might enjoy a visualization of song lyrics here.

Watch the blog visitor’s behaviour with a heat map (brought to you by Crazy Egg):

Elastic Minds use the ‘elastic list’ principle to search through Noble prize winners. Very easy to use, very neat:

Karl Hartig’s percentage movement of US household use of consumer electronics between 1920-1998:

An unexpected ‘matrix’ if you may on the functionality/performance of The Splayd brought to us by Rag Bag:

And not a very beautiful, but a good story from facts on charity activities here. But below you will find a beautiful story on a Roadtrip (made by Oostring):

“15 Stunning Examples on data visualization” here or “50 Great Data Visualizations” here.

A data visualization platform for users and the curious at Many Eyes (btw, brought to you by IBM). You can also create your own visualizations with interactive available tools; they are public, if you want them for your eyes only, you must contact Many Eyes:

Or give a try Drastic Data.

Here for inspirational essential Inforgraphics and Data Visualization blogs to follow.

In the future  ‘market research’ will refer to information and not data. Data is numbers. Numbers with a message is information.

And before I end, wonderful work as usual from Stefaner Moritz – learning geography in a practical and neat way:

he percentage of households using consumer electronics products in the U.S. from 1920 to 1998.
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