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Data mashups in R

Author: Jeremy Leipzig; Xiao- Li Li
Publisher: Sebastopol, Calif. : O'Reilly, 2009.
Edition/Format:   eBook : Document : English : 1st edView all editions and formats
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  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jeremy Leipzig; Xiao- Li Li
ISBN: 9780596804770 0596804776
OCLC Number: 428740670
Notes: Title from homepage (Safari, viewed Sept. 24, 2009).
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.
Responsibility: Jeremy Leipzig, Xiao-Yi Li.

Abstract:

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.

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