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

Robert Kosara (2013). InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities. Journal of Computational and Graphical Statistics, 22(1), 29–32. DOI: 10.1080/10618600.2012.755465

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BibTeX

@article{Kosara:JCGS:2013,
  author = {Robert Kosara},
  title = {InfoVis Is So Much More: A Comment on Gelman and Unwin and an Invitation to Consider the Opportunities},
  journal = {Journal of Computational and Graphical Statistics},
  year = {2013},
  volume = {22},
  number = {1},
  pages = {29–32},
  doi = {10.1080/10618600.2012.755465}
}

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.