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InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities ​

I welcome the opportunity to respond to Andrew Gelman and Antony Unwin’s article, Infovis and Statistical Graphics: Different Goals, Different Looks. Their view of information visualization is very distorted, but unfortunately not uncommon. In the following, I will try to give readers a sense of what information visualization (InfoVis) is really about, show some recent contributions, list some challenges, and show that there is a lot of opportunity for collaboration between InfoVis and statistics.

Robert Kosara, InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities, Journal of Computational and Graphical Statistics, vol. 22, no. 1, pp. 29–32, 2013.
bibtex
@article{Kosara:JCGS:2013,
	year = 2013,
	title = {InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities}, 
	author = {Robert Kosara}, 
	journal = {Journal of Computational and Graphical Statistics}, 
	volume = {22}, 
	number = {1}, 
	pages = {29–32}, 
	abstract = {I welcome the opportunity to respond to Andrew Gelman and Antony Unwin’s article, Infovis and Statistical Graphics: Different Goals, Different Looks. Their view of information visualization is very distorted, but unfortunately not uncommon. In the following, I will try to give readers a sense of what information visualization (InfoVis) is really about, show some recent contributions, list some challenges, and show that there is a lot of opportunity for collaboration between InfoVis and statistics.}, 
}