<DIV><p>How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia.</p><p> This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis.</p><ul><li>Parse messy data from public foreclosure auction postings </li><li>Plot the data using R's PBSmapping package </li><li>Import US Census data to add context to foreclosure data </li><li>Use R's lattice and latticeExtra packages for data visualization </li><li>Create multidimensional correlation graphs with the pairs() scatterplot matrix package </li></ul></div>