Beginning Data Science with R

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“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

Author(s): Manas A. Pathak (auth.)
Edition: 1
Publisher: Springer International Publishing
Year: 2014

Language: English
Pages: 157
Tags: Appl.Mathematics/Computational Methods of Engineering; Statistics and Computing/Statistics Programs; Signal, Image and Speech Processing

Front Matter....Pages i-xi
Introduction....Pages 1-4
Overview of the R Programming Language....Pages 5-17
Getting Data into R....Pages 19-30
Data Visualization....Pages 31-60
Exploratory Data Analysis....Pages 61-85
Regression....Pages 87-114
Classification....Pages 115-136
Text Mining....Pages 137-157