Data Mashups in R
Data Mashups in R
remy Leipzig, Xiao-Yi Li | June 2009 | Pages: 29 | PDF | ISBN 10: 0596804776 | 1.28 Mb
remy Leipzig, Xiao-Yi Li | June 2009 | Pages: 29 | PDF | ISBN 10: 0596804776 | 1.28 Mb
This article demonstrates how the realworld data is imported, managed, visualized, and analyzed within the R statistical framework. Presented as a spatial mashup, this tutorial introduces the user to R packages, R syntax, and data structures. The user will learn how the R environment works with R packages as well as its own capabilities in statistical analysis. We will be accessing spatial data in several formats-html, xml, shapefiles, and text-locally and over the web to produce a map of home foreclosure auctions and perform statistical analysis on these events.