I'm really of two minds when it comes to this kind of stuff. While access to the data is one thing, the ability to find the
right data is another, and I think is the true purpose of things like gapminder, and also one of their main problems. Having fiddled around with this (and a lot of other information visualization type tools) they're all generally involved in the same goal of processing large data sets into forms that can be visualized, and thus leveraging our innate, high-powered "visual intelligence" to find patterns and structure among the data. Though it's very "gee-wizz technology will make us superhumans!" I actually think it's a pretty cool, if rather utopian, idea. I definitely buy into the realization that by far the vast amount of our brainpower is spent processing sensory signals, almost all of which occur pre-consciously, and that's actually where our true intelligence lies. Witness the classic paradox of AI, that it's not too hard to make medical diagnosis system that, given a patient's symptoms, can give a diagnosis about as accurately as a well trained doctor, but it's nearly impossible to make an AI program that can drive a dump truck through the mud--despite what we would traditionally say about the "intelligence" required for those two tasks.
That said, though the talk is good, most of the tools that come out of this field (as HMLT rightly points out), tend to make pretty looking pictures that look good in a presentation but have highly questionable practical use. Like those hyperbolic graph navigation tools zhao posted (which are apparently
4D hyperbolic surfaces projected onto a 3D sphere?? I never really understood that but it sound really cool

). They look really interesting, but it's hard to find a lot of practical purposes for them. Many of these things get proposed, but very few of them actually get tested with users to see if they're any better than looking at the raw data. Which is the other problem with all these things, that for all that they want allow for the power of visual cognition, at some level they inevitably have to elide certain amounts of data in order to get a practical visualization. So in the end you just get someone's idea of what information is important, leading to funny-seeming conclusions like "mao bringing health to china"
Alright, that was my rambling take on things...
