I long, long resisted going to IEEE VIS, but this year, it’s about time. I’ll moderate a panel featuring top notch speakers: Tariq, Scott, Matteo, Greg and I will try to shed some light on what it’s like to work with and publish data in the NGO context, and how we can improve! This should be interesting. Check out the (simple) announcement video here:
The other thing I am really looking forward to, is the tutorial I’ll teach together with Dominikus Baur. We will look at all the practical aspects of producing successful web-based data visualizations — except the actual data vis code. So, we will discuss deeplinking, performance, shareability, help and explanations, fallbacks, mobile optimizations — all the stuff that makes great web applications really great, but which we all underestimate all the time.
Looking forward! Who else is going? Ping me!
PS: Maybe we should do a datastories listener meetup? Or something?
For the third year in a row, I was responsible for a good deal of the graphics in the annual Global Risk Report published by the World Economic Forum. For the report, hundreds of experts take part in a survey on their perception of what they consider the most important global risk and their inter–dependency.
The “crystal” network diagram sheds light on the “Centers of Gravity” (systemically most important risks) in each category (Economic, Environmetal, Societal, Geopolitical, and Technological Risks) and the risks strongest connected to these. The network was layed out in d3.js, using force-directed layout and a “magnetic” grid for regular spacing and to avoid overlaps. The centers of gravity and the 4 most important connectors were fixated manually in this process, to enforce the “crystal” structure. This rough layout was then imported into Illustrator and refined and tweaked by hand. There is also a version which shows a cloud of all risks in the background, but I think this one obscures the conceptual/diagrammatic nature of the original, so personally, I prefer the cleaner version.
The same interconnectivity information can be explored in an “orbit” visualization that plays a bit on the gravity theme established in the survey. Clicking a risk will put it into the center and show how strongly the other risks are connected by how close or far away they are located — a very simple, but quite effective and clean approach to network visualization, by getting rid of the lines altogether and just working with size and distance to express connectivity.
Last, but not least, we have a simple cartesian plot arranging the risks by impact and likelihood. As we gathered some information on the respondents’ region of residence and their stakeholder group, you can explore how, for instance, Asian experts’ perception on economic issues differs from the rest of the respondents.
Old news for you, if you follow me on twitter already (or read infosthetics), but here is a quick pointer to the interactive graphics for the Global Agenda Survey 2011 we launched last week for the World Economic Forum:
I realized the project together with the talented Jan Willem Tulp, from who you surely will hear much more over the next few months.