I found this to be an interesting representation of the minimum income levels in Europe. Not how some countries don’t have any legislation to establish a minimum income.
Archive for the ‘Information Visualization’ Category
This looks like a great idea opening entirely new possibilities in terms of interaction. Frankly, it reminds me of projects on smoke walls where the user could interact in a somewhat similar way. Now I just need to find the video for that too and post it here for comparison.
It’s really nice to see an animated visualization on Internet usage, especially when it’s linked to day cycles. Besides the distribution and the focalization around the urban areas of the globe, you can notice some many other patterns. In most places, internet usage blooms in the evening. However, this time when the servers run red-hot lasts longer in countries like China, while in Europe the rate quickly reduces with the fall of darkness. Furthermore, the Internet seems to be accessed the most in the afternoon in the US, and dim down by the evening hours. Hmm, would love to find out more about why this is.
Anyway, the complete article on the topic is available here.
Let me make this clear: the new Tesla Model S comes with an entirely touchscreen-based dashboard. No buttons, only touch displays. One behind the steering wheel, and one as the center console.
While it looks astonishingly good, I can’t help to wonder how they solved the issues of positional memory and tangible feedback. Many drivers are able to learn where various buttons lie on the dashboard so that they can manipulate them without looking. More precisely, if you learn over a matter of weeks or days that my volume button is approximately over here on the dashboard and that when you touch it, you immediately recognize it based on its shape, texture, etc., then you don’t need to look at the dashboard anymore in order to activate various functions. I wonder how one can compensate for this when employing touchscreen interfaces.
I think the following video is more than self-explanatory. And I find that the idea of trying to establish a correlation between the various objects or actions detected visually and the activated brain regions is an important step towards the final, still distant goal: decoding the brain.
I particularly like the visualization of the re-tweets.
Here’s an article that gives a brief overview of the IT branch and its problems inside Formula 1. As part of the visualization community, I find their issues related to the large amount of data particularly interesting. I wonder what visualization methods they are using…
This is a nice idea for tabletops and tangibles. The interaction is also intuitive, so I imagine one could learn how to manipulate the entire table and create new songs quite quickly.
Well, is there? Hans Rosling’s findings say “no”.