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Data Mashups in R (A Case Study in Real-World Data Analysis)
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Product Details
Author:
Jeremy Leipzig, Xiao-Yi Li
Format:
Paperback
Pages:
36
Publisher:
O'Reilly Media (April 19, 2011)
Language:
English
ISBN-13:
9781449303532
ISBN-10:
1449303536
Dimensions:
7" x 9.19"
File:
TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20251022163324-20251022.xml
Folder:
TWO RIVERS
List Price:
$14.99
As low as:
$12.89
Publisher Identifier:
P-PER
Discount Code:
C
Case Pack:
111
Country of Origin:
United States
Pub Discount:
60
Weight:
3.2oz
Imprint:
O'Reilly Media
Overview
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 postings
- Plot the data using R's PBSmapping package
- Import US Census data to add context to foreclosure data
- Use R's lattice and latticeExtra packages for data visualization
- Create multidimensional correlation graphs with the pairs() scatterplot matrix package
