TileMill is a tool that makes it easy to create interactive maps. Soon they will be adding some new features that will treat maps more like images in terms of modifying the look and feel. This will allow you to apply blending to polygons and GIS data.

AJ Ashton made these examples that are quite compelling, beautiful, and just touch on the possibilities. I can envision many different types of data being drawn with blending techniques as opposed to simply flow diagrams and the like. It will be interesting to see what comes out of these new features.

[via @bonnie]

So I got to thinking, since I’m on this pie chart kick, “what would be the worst pie chart ever?” And I decided it would be a Venn diagram made with pie charts. I laughed to myself, imagining such a creation. Then I thought, somebody’s probably done this. And indeed, there’s an app for that.

At long last, the power of Venn diagrams and pie charts combine to turn the world of mathematics on its head! If you’ve ever felt the need to create Venn diagrams with pie charts, or wished your pie charts could overlap to provide even more informative data, then Venn Pie-agrams is the app for you!

I’ll leave it at that.

Wow, Manuel Lima, Senior UX Designer at Bing, got through a world of information in this 11 minute RSA Animate video. He spoke about the topic for which we all know him – networks. Beginning with the tree as a symbol of relationships (e.g., Aristotle’s Tree of Knowledge), Manuel then quickly sweeps through many concepts through the centuries to finally land on a modern day approach to relational information, the web or network. As trees are no longer capable of representing the complexities of the modern world, we have to find new ways to visualize these structures or perhaps even find a universal structure. His talk is loaded with beautiful examples of trees and networks.

If this fast paced animation is above your processing capacity, you can view the more austere real world video of Manuel instead. It has the bonus of an interesting interview with him in the last 6 minutes.

The OECD’s Better Life Index which debuted last year to much fanfare has been updated with some great new features by Moritz Stefaner.

The concept and beauty of the original piece remain intact. However, the experience is made better by the ability to compare to different demographics. For instance, after I adjust my Better Life settings, I can see how my settings compare to other women my age in the US, or to French men. It’s fun to compare to different people around the world and watch the flowers readjust themselves to the various comparisons. It invokes a sense of global community and humanity.
Read More

Visual.ly analyzed the top 30 infographics posted on their site and determined that data visualization doesn’t matter:

Data visualization certainly matters when it comes to conveying information effectively, but when it comes to sharing, the answer is no: having data to represent is not a critical ingredient in infographics. More than half, or 53%, of the top 30 graphics do not contain data visualization. And by data visualization, we mean visual objects that are sized, colored, or positioned to represent numerical values.

I think what they actually mean is that data visualization is not the sole factor of a successful visualization. Since they are only analyzing the top 30 infographics, the minority 47% that had data visualization are still very successful. It would be a different story if the 53% of infographics without dataviz were the top successes and the 47% with dataviz were the bottom losers.

My hunch is that the successful infographics posted on Visual.ly are popular because, like other viral content, they strike a nerve, are of the moment, are humorous yet relevant, or have some other je ne sais quoi.

I’m a sucker for anything cute and bubbly, and the U.K. Energy Consumption Guide created by Epiphany is no exception. It combines a vertical scrolling site with a lot of data visualization about different types of fuel and how they’ve been used historically. Most of the charts are solid and the interaction adds an even higher level of clarity and understanding.

While I like this circle packing chart, I’m sure there will be doubters. It’s very similar to McCandless’ natural gas visualization that received a lot of flack. But generally speaking, anything that is engaging and welcoming garners a little extra time from the visitor to make sense of it.

I warned Nathan that I was going to drop a pie bomb on Flowing Data. Well, here it is; it’s labeled by its creator as a “feather chart.” I really hate to pick on people. I truly think Jon made a valiant attempt to use pie charts innovatively. However, this chart is not effective.

The chart uses 11 million ACT records (for international readers, that’s a standardized test in the US). It’s trying to show the relationship between ethnicity and test score and income and test score.

I created the y-axis as the ACT composite score, and then used self-reported income bands as the x-axis. Both are discrete, categorical values, even though ACT is numeric. ACT increases bottom-to-top, and income bands increase left-to-right. At the intersection of each variable is a pie chart, sized by the number of students in that group, and colored by ethnicity

The only problem is that the overlapping pie charts occlude one another. Unless one section of the pie chart dominates and allows the other sections to peek out over the top of the previous pie, then the chart is useless. For instance, in the first feather, there’s no way to know if the orange section is 40% or 60% for most of the chart.

This chart has really good intentions, but the data would be better served with a bean or violin plot. If you’re a subscriber, you can check out Nathan’s great tutorial from last week about visualizing distributions.

Gundega Strautmane, a Latvian textile artist and designer, visualizes social and physical networks in a show called Relational Ornaments. The networks are created using various sized pins to depict nodes and threads connecting them to show relationships. Bringing visualization into the tactile world lends it a weight not able to be achieved on a computer screen. It allows the viewer to pause, spend time with the information, feel it, sense it in a more holistic way. The placement of pins and threads is imprecise because they are placed by hand giving the work a very natural, organic feel rather than the rigidity of the exact calculations of programming.

[via The Network Thinkers]

This Wall Street Journal graphic shows who’s selling (or sold) a percentage of their Facebook stocks and who’s holding steady.

This graphic is the perfect example of why I’m a proponent of the pie chart. First, they stuck to two values per pie chart. That makes it easy to read. Next, they used the size of the pie to denote the number of shares. Finally, they used small multiples to easily compare both the shares owned by each entity as well as change in percentage of shares being sold.

I’m sure bar charts would be fine too, but WSJ really used all aspects of the pie chart very effectively.

[via Barry Ritholtz]