Data mashups in R
By: Jeremy Leipzig, Xiao-Yi Li
Contributors: Li, Xiao- Li
Edition: 1st ed.
Publisher: O'Reilly
Published: 2009
Place of publication: Sebastopol, Calif
Language: eng
Format: [electronic resource] /
Number of pages: 29
ISBN-13: 9780596804770; 9780596805302
Subjects: COMPUTERS; Design; Mashups (World Wide Web); Data Processing; R (Computer program language); Web sites
Description: This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in statistical analysis. We will be accessing spatial data in several formats-html, xml, shapefiles, and text-locally and over the web to produce a map of home foreclosure auctions and perform statistical analysis on these events.
Notes: Title from homepage (Safari, viewed Sept. 24, 2009).
Table of contents: title: chapter 1.; title: Messy address parsing -- -- chapter 2.; title: Shaking the XML tree -- -- chapter 3.; title: The many ways to philly (latitude) -- -- chapter 4.; title: Exceptional circumstances -- -- chapter 5.; title: Taking shape -- -- chapter 6.; title: Developing the plot -- -- chapter 7.; title: Turning up the heat -- -- chapter 8.; title: Statistics of foreclosure -- -- chapter 9.; title: Final thoughts -- -- chapter 10.; title: Appendix: getting started.