Data Mashups in R is popular PDF and ePub book, written by Jeremy Leipzig in 2011-03-04, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Mashups in R can be Read Online from any device for your convenience.
Data Mashups in R Book PDF Summary
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
Detail Book of Data Mashups in R PDF
- Author : Jeremy Leipzig
- Release : 04 March 2011
- Publisher : "O'Reilly Media, Inc."
- ISBN : 1449307256
- Genre : Computers
- Total Page : 40 pages
- Language : English
- PDF File Size : 15,5 Mb
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