January/February 2018 issue of acmqueue

The January/February issue of acmqueue is out now


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Originally published in Queue vol. 10, no. 2
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David Crandall, Noah Snavely - Modeling People and Places with Internet Photo Collections
Understanding the world from the sea of online photos

Robert DeLine, Gina Venolia, Kael Rowan - Software Development with Code Maps
Could those ubiquitous hand-drawn code diagrams become a thing of the past?

Brendan Gregg - Visualizing System Latency
Heat maps are a unique and powerful way to visualize latency data. Explaining the results, however, is an ongoing challenge.

Jeffrey Heer, Michael Bostock, Vadim Ogievetsky - A Tour through the Visualization Zoo
A survey of powerful visualization techniques, from the obvious to the obscure


(newest first)

Christophe Duhamel | Fri, 14 Sep 2012 08:27:08 UTC

Very interesting taxonomy of methods. However I am surprised to notice the absence of reference to Jacques Bertin who established the basic nomenclature of data visualisation in the 60's (Semiology of graphics)

Eric Melse | Thu, 23 Aug 2012 07:55:52 UTC

The link http://www.research.att.com/andreas/xgobi/heidel/ is broken.

visnut | Fri, 23 Mar 2012 17:47:11 UTC

Figure 13 says GGobi, but I think you have actually used Mondrian, and changed the background to make it look like ggobi. You haven't even referenced the ggobi literature, eg

Swayne, D. F., Temple Lang, D., Buja, A. and Cook, D. (2003) GGobi: Evolving from XGobi into an Extensible Framework for Interactive Data Visualization, Journal of Compu- tational Statistics and Data Analysis, 43(4):423-444.

Cook, D., and Swayne, D. (with contributions from Buja, A., Temple Lang, D., Hofmann, H., Wickham, H. and Lawrence, M.) (2007). Interactive and Dynamic Graphics for Data Analysis with examples using R and GGobi, Springer, New York. With additional data, R code and demo movies at http://www.ggobi.org.

I would also argue that this paper describes is a catalog of software tools rather than a taxonomy of interactive graphics. You might do well to look at an early attempt at a taxonomy of tasks in

Buja, A., Cook, D., and Swayne, D. (1996). Interactive High-Dimensional Data Visualization. Journal of Computational and Graphical Statistics, 5(1):78{99. See also http://www.research.att.com/andreas/xgobi/heidel/.

and an earlier paper on focusing and linking by the lead author. Which ties the types of tasks into what we want to learn from the data.

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