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. Abstract BibTeX PDF

    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},
    }