Book description
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.
Product information
- Title: Data Mashups in R
- Author(s):
- Release date: June 2009
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9780596559649
You might also like
book
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
book
Time Series Analysis: Forecasting and Control, Fourth Edition
A modernized new edition of one of the most trusted books on time series analysis. Since …
book
Official (ISC)2 Guide to the CISSP CBK, 4th Edition
As a result of a rigorous, methodical process that (ISC) follows to routinely update its credential …
book
SQL Queries for Mere Mortals: A Hands-On Guide to Data Manipulation in SQL, 4th Edition
The #1 Easy, Common-Sense Guide to SQL Queries—Updated with More Advanced Techniques and Solutions Foreword by …