| Description |
1 online resource (29 pages) |
| Contents |
chapter 1. Messy address parsing -- chapter 2. Shaking the XML tree -- chapter 3. The many ways to philly (latitude) -- chapter 4. Exceptional circumstances -- chapter 5. Taking shape -- chapter 6. Developing the plot -- chapter 7. Turning up the heat -- chapter 8. Statistics of foreclosure -- chapter 9. Final thoughts -- chapter 10. Appendix: getting started |
| Summary |
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 September 24, 2009) |
| Subject |
Mashups (World Wide Web)
|
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R (Computer program language)
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Web sites -- Design.
|
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COMPUTERS -- Data Processing.
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Mashups (World Wide Web)
|
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R (Computer program language)
|
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Web sites -- Design.
|
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Mashups (World Wide Web)
|
|
R (Computer program language)
|
|
Web sites -- Design
|
| Form |
Electronic book
|
| Author |
Li, Xiao- Li
|
| ISBN |
9780596804770 |
|
0596804776 |
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