There are many rules about how to visualize data. We know how to encode specific types of data, what visual encodings work well, and what does not work so well. But is there such a thing as a perfect visualization for a given set of data?
Data is often reported as a single number. Unemployment rates, housing prices, crime, etc. are all boiled down to single numbers that average over a large population. But averages, or means, hide much of the richness of the underlying data, and without at least a sense of the spread of the data values, are largely meaningless.
I was asked about the most iconic data graphics in the last ten years for an article on FastCoLabs last week (so were Andy Kirk and Matt Stiles). It’s an interesting question not only because of the actual choices, but also the criteria to use. Is something iconic because of its unique look and/or shape? Does it have […]
I had the honor and pleasure to keynote an event in Berlin recently that introduced a new visualization tool to the world, GED Viz. What makes it stand out from other web-based visualization tools is its focus on particular data, and the ability to create not just individual views, but little stories.
Once you’ve seen one visualization book, you’ve seen them all. They tend to all look similar, use the same examples, and don’t provide much depth. Is it too easy to write a book when you can use such compelling images?
About 100 attendees, three keynotes, five short talks, demos, discussions, food, music, and a fantastic atmosphere: the Tapestry conference for storytelling with data took place on February 27 in Nashville, TN. Here is a conference report with links to talk videos, as well as some first news on Tapestry 2014.
The deadline for tutorial proposals for VIS 2013 is coming up. There are a few changes from last year. Also, there is a new Industry and Government Experiences Track at the conference this year.