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Interactive Graphics and Data Visualization


User interaction with a graphics device via a mouse click or a press on a keyboard can be useful for discovering features of data that might go unnoticed if more static graphics are used. In this talk I'll discuss the R function getGraphicsEvent(), and show how I'm using it to visualize multivariate, spatio-temporal data from a multi-year study of mosquito dynamics in Northeastern Colorado.

Other Details:

We'll meet at around 7, talk for 30 minutes or so, and then let Nels take over from 7.30 - 8.15.  After that, we'll head to a bar for some drinks/dinner.


If you want to bring some snacks to the meetup, let me know and we can arrange something.  It would be nice to have some munchies, but I ride a bike and don't want to haul chips and stuff. 

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  • Peter D.

    Great way to work with high dimensional data. The spoon might not be real, but seeing five or six dimensions is!

    March 24, 2011

  • A former member
    A former member

    I only gave myself a 4 star rating (out of 5) because I forgot to talk about the "<<-" assignment operator. If you're going to use getGraphicsEvent(), you'll find this operator indispensable.


    March 23, 2011

  • James E. J.

    It introduced me to tools which I will be able to use immediately in exploring data.
    It was good to meet and exchange ideas with other R users.

    March 23, 2011

  • David A.

    Great presentation! I didn't know about the interactive graphics capabilities that are built into R and seems great for exploratory data analysis. Rather than generating 10 different graphs like I sometimes do, scrolling through the plots as presented is a better way to go. Also zooming on a tight cluster of points or clicking on outliers for more info are very welcome techniques.

    March 23, 2011

  • James E. J.

    Sounds great.

    March 2, 2011

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