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Excellent must-see Washington DC Ignite presentation by Alex Lundry on data visualization and using charts ("chart wars").
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"A good sketch is better than a long speech..." -- a quote often attributed to Napoleon Bonaparte
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(The opening gambit to Sviokla's article.)
In many ways, this is also about patterns, and pattern recognition (which is what Scruton's article was about, too). The new changes are perhaps more related to how *dynamic* our reality has become. But "...even in a world of information surplus, we can draw upon deep human habits on how to visualize information to make sense of a dynamic reality."
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In addition to arranging the information to create shared understanding, visualization gives us the ability to combine data in order to create new insight — quickly and clearly.
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- Is there a simple map or maps of information that could make my life easier?
- Do we have the ability to take the myriad data and synthesize it into these new forms?
- How much time does the organization waste arguing about the facts instead of deepening understanding or crafting solutions?
The quality of cheap mapping tools and the availability of vast quantities of free or inexpensive data is growing. The planet is becoming "smart" in the sense that we can track, monitor and see much more of both the built and the natural environment.
The challenge is that if management teams do not consciously build in great visualizations, their organizations will waste an inordinate amount of time sifting through the river of bits, and not get the effective insights they need. Perhaps most perniciously, people will each be looking at their own part of the puzzle, never getting to the shared understanding that allows teams to take the right action in a tight time-frame.
Ask yourself the following questions:
Brief article with several useful links on advances in data visualization. Includes discussion of IBM's Many Eyes (complex) and Protovis's tools (easier).
Room-sized installation -- a landscape/mountainscape terrain "generated by datasets relating to the frequency & position of urban crimes." Not sure over how long a period of time the stats were compiled, though, and how they cumulatively (literally) added up to create the "Mountain Fear" model. Interesting attempt at data visualization, at any rate.
This is an amazing graphic -- it's a map of the US, populated with what look for all the world like skyscrapers or high rise buildings. The catch: the height of these structures actually indicate the subprime mortgage foreclosures as a percentage of all subprime mortgages in metropolitan areas (Dec.07). Gives "density" a whole new vibe -- and it's not a good one, because these densely "built up" areas are basically financial holes, negatives not positives.
Found via IF! (see http://if.psfk.com/if/#Fantastic%20Chart)
Intriguing summing up by Regine from We Make Money Not Art of Eric Rodenbeck's presentation at etech08, "Information Visualization is a Medium." I especially liked this, on the Crime Spotting app:
"...interactive map of crimes in Oakland was developed with the idea of offering a tool for understanding crime in cities.
"You can get a precise overview of what is happening in your neighbourhood (or the one where you plan to rent a house) over time, you can select the crimes you want to see and if you like that sort of thrill, crime alerts can be delivered to you in almost real time via RSS or email.
"Crimespotting helps people explore public information, draw connections, see pattern emerge and find new possibilities for questioning.
The website says: We believe that civic data should be exposed to the public in a more open way. With these maps, we hope to inspire local governments to use this data visualization model for the public release of many different kinds of data: tree plantings, new schools, applications for liquor licenses, and any other information that matters to people who live in neighborhoods."
Yes, data should be "exposed to the public in a more open way."
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