Data mashups in R
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 pa...
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Sebastopol, Calif.
O'Reilly
2009
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Edition: | 1st ed |
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Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Summary: | 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 |
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Item Description: | Title from homepage (Safari, viewed September 24, 2009) |
Physical Description: | 29 pages |
ISBN: | 9780596804770 |