Browsing All Posts filed under »Creative«

The Macroscope

May 24, 2015 by

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As a public school teacher, I frequently feel overwhelmed by the sheer amount of information I receive. I get data about student performance, about equity measures, about student’s lives and about parent’s aspirations. Yet at some point during my graduate coursework I started to rethink how I approached exactly what value I was getting from […]

A “New Data Epistemology”

May 17, 2015 by

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Does visualizing data change the way you think about that data?  I believe it does.  But so does what data we are collecting in the first place.  This will be a lengthy post.  But stick with it.  In the end, I hope to propose what I term the “new data epistemology.”  It is something I […]

Review of Beautiful Visualization: Looking at Data Through the Eyes of Experts

August 1, 2013 by

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Edit: You can buy the book off of amazon here: Beautiful Visualization on Amazon.com I just finished reading the excellent book Beautiful Visualization: Looking at Data through the Eyes of Experts, and I have to say, I would highly recommend it for anyone interested in either data visualization or basic data analytics. There are twenty […]

[Repost] Taxonomy vs. iconography in data visualization

October 3, 2011 by

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This is a repost from a previous date. During college I worked at the University of Chicago Special Collections, where they keep the old, valuable, and/or particularly noteworthy volumes in the Library’s collection, among other things. It is a very, very cool place (if you are in Chicago, it is definitely a place to see […]

W.E.B. Du Bois, radical visualization, and the transformative power of information

February 28, 2011 by

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First of all, I apologize for my brief absence.  I was at Morehouse College presenting a paper (that doesn’t really have anything to do with my blog).  While I was at the airport waiting for my late flight, however, I stumbled on a post over at L. Eckstein’s fantastic blog, All My Eyes.  Her post uncovers a set […]

From the complex to the simple: pseudovariety in soft drinks

February 13, 2011 by

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With all my excitement about the world of data visualization, I think it was good that I stumbled on the website of professor Phillip Howard at Michigan State (website here), who offers a stunning graphic on what he calls ‘pseudo-variety’ in the soft drink industry.  What is particularly useful here as a general lesson is […]

Flocking behavior, swarm models, and art

February 11, 2011 by

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Seems like swarm algorithms and flocking behavior are pretty popular these days.  Visualizations of those algorithms are pretty sparse, though.  Today I ran across the work of some architecture students, Hyun Chang Cho, Jun Ho Cho, and Eun Ki Kang, all involved in some really cool visualizations. Another impressive swarm visualization comes from Samuel Brisette […]

The brain as a pattern recognition machine

February 9, 2011 by

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I came across a group of researchers doing precisely the kind of work that I have been advocating for on this blog.  This is really exciting stuff that I am still working through, but I wanted to share it with you because they do a good job of introducing a conceptual framework for approaching visual […]

Hierarchical edge bundles

February 5, 2011 by

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Sometimes social networks visualizations look so damn complicated.  I at least tend to look at where the graph is busiest, and sort of intuitively conclude that that node is the most important one.  There must be a better way, right? Of course there is–why else would I pose such an obviously rhetorical question? (damn it. […]

Love is a battlefield

February 4, 2011 by

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The Sankey Graph is one of the most famous data visualizations in history (in no small part because of Edward Tufte‘s proclamation of its greatness). Created in the 1890’s by Irish Captain Matthew Henry Phineas Riall Sankey to demonstrate the efficiency of steam engines, it was popularized during Napoleon’s Russian campaign as an efficient way […]

Seeing Complexity

We are devoted to bringing you visual data from academic sources, around the web, and our own imaginations. It is our goal to make reading statistical data more accessible, reasonable, and fun, especially in the social sciences.

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