With the new year, many of you (myself included) and your employers resolved to be more productive this year. You are going to finish that side project. Learn that new language. Run that long distance. You are going to be all that you can be. Then you spent all day in front of the television yesterday while playing Angry Birds. Little did you know, productivity and Angry Birds go hand-in-hand.

Enter Productivity Birds, created and used internally by Stamen.

We’ve used these graphs as the simplest-possible visualization of how we spend our time so we know how we’re doing relative to the budget for a project. Operationally, the data output of these graphs feeds directly into an accrued revenue model that lets us predict our income earlier. The day/week granularity makes it possible to collect the data as a team without making everyone unhappy with management overhead, and the bias toward whole- or half-day increments helps stabilize fractured schedules (not for me, though—my time is probably the most shattered of anyone in the studio).

Calendar time is represented on the horizontal axis and time spent on a project is the vertical. The object of the game is to hit the bird, where a bird over the pig means a risk of losing money, and a bird past the big means a risk of finishing late. The stacked area chart on the bottom shows who has been or is working on the project.

The small app, built with Protovis, is available on GitHub.

[tecznotes]

While we’re on the topic of academic papers and how they’re linked, Johan Bollen et. al used clickstream data to draw detailed maps of science, from the point of view of those actually reading the papers. That is, instead of relying on citations, they used log data on how readers request papers, in the form of a billion user interactions on various web portals.

Maps of science derived from citation data visualize the relationships among scholarly publications or disciplines. They are valuable instruments for exploring the structure and evolution of scholarly activity. Much like early world charts, these maps of science provide an overall visual perspective of science as well as a reference system that stimulates further exploration. However, these maps are also significantly biased due to the nature of the citation data from which they are derived: existing citation databases overrepresent the natural sciences; substantial delays typical of journal publication yield insights in science past, not present; and connections between scientific disciplines are tracked in a manner that ignores informal cross-fertilization.

Cross-fertilization. Saucy.

Each circle represents a journal and edges represent connections between journals, according to Johan Bollen et. al’s clickstream model. Circles are color-coded by journal classifications from the Getty Research Institute’s Art and Architecture Thesaurus.

So you have most of the engineering and physical sciences on the perimeter, medical-related areas to the left, and liberal arts is that middle cluster. Statistics is towards the top left, mixed in with demographics, philosophy, and sociology. There aren’t many surprises in the clusters, but there are interesting, albeit weaker, links in the open spaces, such as religion and chemistry or music and ecology.

[PLoS ONE | Thanks, @drewconway]

From Autodesk Research, Citeology is an interactive that visualizes connections in academic research via paper citations:

The names of each of the 3,502 papers published at the CHI and UIST Human Computer Interaction (HCI) conferences between 1982 and 2010 are listed by year and sorted with the most cited papers in the middle. In total, 11,699 citations were made from one article to another within this collection. These citations are represented by the curved lines in the graphic, linking each paper to those that it referenced.

The interactive repsonds slowly to clicks and only works in Firefox for me, but it’s interesting to play around even if you aren’t familiar with CHI and HCI papers. It works better if you select one to three generations instead of all. Click on a specific paper and you get citations for that paper on the right (brown) and the papers that the selected cited on the left (blue).

Color-coding for categories, authors, or subject could add another level of meaning to this. For example, do we see the subject evolve? Do papers that focus on a certain subject site outside of the main topic?

[Citeology via infosthetics]

Food flavors across cultures and geography vary a lot. Some cuisines use a lot of scallion and ginger, whereas another might use a lot of onion and butter. Then again, everyone seems to use garlic. Yong-Yeol Ahn, et al. took a closer look at what makes food taste different, breaking ingredients into flavor compounds and examining what the ingredients had in common. A flavor network was the result:

Each node denotes an ingredient, the node color indicates food category, and node size reflects the ingredient prevalence in recipes. Two ingredients are connected if they share a significant number of flavor compounds, link thickness representing the number of shared compounds between the two ingredients. Adjacent links are bundled to reduce the clutter.

Mushrooms and liver are on the edges, out on their lonesome.

[Nature | Thanks, Elise]

Thanks for making this a memorable year, everyone. Happy holidays!

After a chat with his color deficient friends about how Vincent van Gogh’s paintings seem to appeal to all eyes, Kazunori Asada used visual filters to see how the paintings looked to the colorblind. The experiment produced some interesting results and musings:

Was van Gogh partially color vision deficiency (anomalous trichromat)? Perhaps using a strong color vision deficiency (dichromat) simulation was the wrong approach. How about carrying out the simulation by removing the middle portion of normal color vision, maybe then I could see van Gogh’s pictures in a better light?

The color choices for van Gogh’s popular paintings seem less out there with the filters. The greens in the sky of Starry Night, for example turn to yellows.

A colorblind van Gogh though? Probably not. Either way, don’t forget to pick your colors wisely. Asada has an easy-to-use tool to see what your own images look like to others.

[Asada’s memorandum]

AntiMap is an open source toolset that lets you record movements with your iPhone or Android phone. Originally developed as a way for snowboarders to record their movements and play the data back like a video game, the toolset was generalized for all outdoor activities.
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Carl Bialik, for The Wall Street Journal, reports on PSAs and the use of scary numbers:

The Ad Council usually avoids statistics in PSAs. “We know from our experience that effective advertising has to have an emotional component and statistics-based campaigns can be very rational,” Conlon said. “We’ve also found that people tend not to believe statistics.”

And sometimes they just don’t care much about them. “When we were developing our underage drinking prevention campaign,” Conlon recalled, “we found that it doesn’t resonate with parents to learn about how many children are drinking underage. It’s too easy for them to say ‘it’s not my child.’ We found that it was much more compelling to include a statistic that was more about the consequences of underage drinking: Those who start drinking before age 15 are six times more likely to have alcohol problems as adults than those who start drinking at age 21 or older.”

The well-known Stalin quote comes to mind.

[The Numbers Guy]

Score.
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