Data Mashups in R

betty

Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
1. Mapping Foreclosures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Messy Address Parsing 1
Exploring “streets” 3
Obtaining Latitude and Longitude Using Yahoo 4
Shaking the XML Tree 5
The Many Ways to Philly (Latitude) 6
Using Data Structures 7
Using Helper Methods 7
Using Internal Class Methods 7
Exceptional Circumstances 8
The Unmappable Fake Street 8
No Connection 9
Taking Shape 9
Finding a Usable Map 10
PBSmapping 10
Developing the Plot 11
Preparing to Add Points to Our Map 12
Exploring R Data Structures: geoTable 14
Making Events of Our Foreclosures 15
Turning Up the Heat 15
Factors When You Need Them 16
Filling with Color Gradients 17
2. Statistics of Foreclosure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Importing Census Data 19
Descriptive Statistics 22
Descriptive Plots 23
Correlation 25
Final Thoughts 26


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