Summary: I'm happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization. This episode will have a companion screencast released in the next few days. I use data from the Hockey Summary Project to demonstrate how to create a series of boxplots of NHL regular season attendance for each team. The R code used in this episode will be available via GitHub. I also extend my thanks to the Going Linux podcast for plugging the R-Podcast. If you are interested in providing a listener tip about R, please call the voicemail hotline at +1-269-849-9780 or record an audio clip and send it to theRcast(at)gmail.com. Please keep the wonderful feedback coming and hope you enjoy this episode! The following resources are mentioned in this episode: The Going Linux Podcast: http://www.goinglinux.com Hockey Summary Project: http://hsp.flyershistory.com/ Plot Code on GitHub: https://github.com/thercast/nhl_analysis/blob/master/src/plot_demo_code.R The R Inferno: http://www.burns-stat.com/pages/Tutor/R_inferno.pdf Cookbook for R by Winston Chang: http://wiki.stdout.org/rcookbook ggplot2 0.90 Transition Guide: http://cloud.github.com/downloads/hadley/ggplot2/guide-col.pdf ggplot2 online reference: http://had.co.nz/ggplot2/ ggplot2 GitHub wiki: https://github.com/hadley/ggplot2/wiki/ ggplot2 blog: http://blog.ggplot2.org/ ggplot2 mailing list: https://groups.google.com/forum/?fromgroups#!forum/ggplot2 Kaplan-Meier Survival Plot with ggplot2: http://mcfromnz.wordpress.com/2011/11/06/kaplan-meier-survival-plot-with-at-risk-table/ Learning R Series: http://learnr.wordpress.com/2009/06/28/ggplot2-version-of-figures-in-lattice-multivariate-data-visualization-with-r-part-1/ Code A La Mode ggplot2 articles: http://codealamode.blogspot.com/search/label/ggplot2 ggplot2 textbook by Hadley Wickham: http://tinyurl.com/ggplot2-book Theme music provided by WillRock from the Return All Robots Remix Album at ocremix.org The closing theme is entitled "The Way" and provided by Jewbei from the Wild Arms: ARMed and Dangerous album at ocremix.org Episode 8 Time Stamps 00:00 The R-Podcast #008 Visualization with ggplot2 00:34 Introduction 01:45 Thank you Going Linux 05:01 Listener feedback 14:14 ggplot2 background and philosophy 23:00 Description of data 30:20 Setting up our plot with ggplot function 38:15 Adding boxplot layer 44:31 Customizing appearance 60:35 Facet by era 67:02 Making code reproducible 73:03 Helpful ggplot2 resources 85:30 Wrapping up: subscribe to the podcast, theRcast@gmail.com, + 1-269-849-9780, Twitter @theRcast 89:29 End
