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| Categorie: | Algemeen - Boeken | Van: | O'Reilly |
| Meer informatie: | www.oreilly.com | Auteur(s): | Jeremy Leipzig, Xiao-Yi Li |
| Publicatie-jaar: | 2010 | ||
How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, Data Mashups in R, 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 & analyze current home foreclosure auctions in Philadelphia.This practical mashup exercise shows you how to access spatial data in several » Lees meer... |  |
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How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, Data Mashups in R, 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 & 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.Data Mashups in R:- Parse messy data from public foreclosure auction postings;- Plot the data using R's PBS mapping package;- Import US Census data to add context to foreclosure data;- Use R's lattice and lattice Extra packages for data visualization;- Create multidimensional correlation graphs with the pairs() scatterplot matrix package.