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Data Mashups in R 1st Edition by Jeremy Leipzig, Xiao Yi Li ISBN 1449303536 9781449303532

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Data Mashups in R 1st Edition Jeremy Leipzig Digital Instant Download

Author(s): Jeremy Leipzig, Xiao-Yi Li
ISBN(s): 9781449303532, 1449303536
Edition: 1
File Details: PDF, 4.82 MB
Year: 2011
Language: english
SKU: EB-2371198 Category: Tags: ,

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ISBN 10: 1449303536 
ISBN 13: 9781449303532
Author: Jeremy Leipzig, Xiao Yi Li

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.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.Parse messy data from public foreclosure auction postingsPlot the data using R’s PBSmapping packageImport US Census data to add context to foreclosure dataUse R’s lattice and latticeExtra packages for data visualizationCreate multidimensional correlation graphs with the pairs() scatterplot matrix package

Data Mashups in R 1st Table of contents:

Chapter 1. Mapping Foreclosures
Messy Address Parsing
Exploring “streets”
Obtaining Latitude and Longitude Using Yahoo
Shaking the XML Tree
The Many Ways to Philly (Latitude)
Using Data Structures
Using Helper Methods
Using Internal Class Methods
Exceptional Circumstances
The Unmappable Fake Street
No Connection
Taking Shape
Finding a Usable Map
PBSmapping
Developing the Plot
Preparing to Add Points to Our Map
Exploring R Data Structures: geoTable
Making Events of Our Foreclosures
Turning Up the Heat
Factors When You Need Them
Filling with Color Gradients
Chapter 2. Statistics of Foreclosure
Importing Census Data
Descriptive Statistics
Descriptive Plots
Correlation
Final Thoughts
Appendix. Getting Started
Obtaining R
Quick and Dirty Essentials of R
O’Reilly Resources

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Tags: Jeremy Leipzig, Xiao Yi Li, Data