Data Mashups in R (e-bog) af Li, Xiao-Yi
Li, Xiao-Yi (forfatter)

Data Mashups in R e-bog

78,54 DKK (inkl. moms 98,18 DKK)
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 p...
E-bog 78,54 DKK
Forfattere Li, Xiao-Yi (forfatter)
Udgivet 4 marts 2011
Længde 40 sider
Genrer Probability and statistics
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781449307257
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