Data Mashups in R
A Case Study in Real-World Data Analysis
1st Edition
Published on 4. March 2011
40 pages
978-1-4493-0736-3 (ISBN)
Description
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
More details
Other editions
Additional editions
Book
04/2011
O'Reilly
€14.50
Shipment within 10-20 days
Content
- Intro
- Table of Contents
- Introduction
- 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
