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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Leipzig, Jeremy
Otros Autores: Li, Xiao- Li
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, Calif. : O'Reilly, 2009.
Edición:1st ed.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Notas:Title from homepage (Safari, viewed September 24, 2009).
Descripción Física:1 online resource (29 pages)
ISBN:9780596804770
0596804776