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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Leipzig, Jeremy (VerfasserIn)
Weitere beteiligte Personen: Li, Xiao- Li (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Sebastopol, Calif. O'Reilly 2009
Ausgabe:1st ed.
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9780596805302/?ar
Zusammenfassung: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.
Beschreibung:Title from homepage (Safari, viewed September 24, 2009)
Umfang:1 Online-Ressource (29 Seiten)
ISBN:9780596804770
0596804776
9780596805302