Join BookitisSave favorites, build lists, and follow creators.

Data mashups in R

Work detail

Bookitis Pick
Cover for Data mashups in R
DM
Image source: Open Library
Jeremy LeipzigXiaoyi LiXiao-Yi Li3 editions

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.

Overview

Shared work-level identity and catalog context.

3 credited authorsSearch language english

Bookitis keeps work pages focused on the shared book identity and the editions that actually belong to it. Unrelated books should not appear here as primary content.

Contributors

People credited with this work in the active catalog.

  • Jeremy Leipzig

    Author profile in the active Bookitis catalog

    Open Author
  • Xiaoyi Li

    Author profile in the active Bookitis catalog

    Open Author
  • Xiao-Yi Li

    Author profile in the active Bookitis catalog

    Open Author

Editions

Publication-specific versions linked to this work only.