Data Mashups in R

Table of contents

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