Free Trial

Safari Books Online is a digital library providing on-demand subscription access to thousands of learning resources.

Overview

Data analysis is more than means and standard deviations. This book is a case study of how you can push R into new territory to analyze online real-world data. The authors scrape public foreclosure records for Philadelphia, geocode them, plot them by neighborhood, and analyze the results, using R facilities to interact with web servers, parse HTML and XML, and more.

Subscriber Reviews

Average Rating: 3 out of 5 rating Based on 2 Ratings

"Binding data sources in R" - by Michal Konrad Owsiak on 06-AUG-2011
Reviewer Rating: 1 star rating2 star rating3 star rating4 star rating5 star rating
Have you ever wondered whether R can utilize regular expressions? Have you been forced to download data from particular source before you start using it within R? Or maybe you were not quite sure how to deal with XML within R scripts. Well, thats what Data Mashups are all about. Jeremy and Xiao-Yi show you how to deal with all these aspects. They show it in very condense way, but still, you can get the feeling what’s R and scripting is all about. You will find here regular expressions, XML parsing, how to use PBSmapping package and description of how to combine all of this within single project.

The book is quite interesting – in terms of the topic. However, it looks little bit messy. I would expect that you get the idea of the problem we want to solve before you start solving it. Well, not this time. Jeremy and Xiao-Yi skip this part and jump straight into solution. It complicates the process of getting through the ideas presented in the book. I prefer to be offered problem before I start looking for a solution. Question here is – maybe for this kind of topic, essay is really enough. I don’t know. I am still getting through R and it’s “traps”, and honestly, I choose other R related titles from O’Reilly over Data Mashups. If you start your adventure with R choose “R Cookbook” or “25 Recipes for Getting Started with R”. If you are already familiar with R, and you want to go beyond what can be called standard, go ahead with Data Mashups.

Idea of the book is very good. The application, not the best one. I can value the solutions and the code snippets that are shown – you can always reuse them at some point in your own projects, however, the way everything is bound and presented doesn’t quite appeal to me.

Report as Inappropriate

Extras

The publisher has provided additional content related to this title.


Description
Content

Visit the catalog page for Data Mashups in R

  • Catalog Page

Visit the errata page for Data Mashups in R

  • Errata