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.
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.
@article {Kosara:JCGS:2013,
key: {Kosara:JCGS:2013},
title: {InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities},
author: {Robert Kosara},
venue: {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.},
year: {2013},
}