Xiao-Yi Li – författare
54 kr
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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.
156 kr
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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
136 kr
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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