Beginning Data Science with R

  • Manas A. Pathak

Table of contents

  1. Front Matter
    Pages i-xi
  2. Manas A. Pathak
    Pages 1-4
  3. Manas A. Pathak
    Pages 5-17
  4. Manas A. Pathak
    Pages 19-30
  5. Manas A. Pathak
    Pages 31-60
  6. Manas A. Pathak
    Pages 61-85
  7. Manas A. Pathak
    Pages 87-114
  8. Manas A. Pathak
    Pages 115-136
  9. Manas A. Pathak
    Pages 137-157

About this book

Introduction

“Data Science with R” deals with implementing many useful data analysis methodologies with the R programming language. The target audience for this book is non-R programmers and non-statisticians. The book will cover all the necessary concepts from the basics to state-of-the-art technologies like working with big data. The author attempts to strike a balance between the “how”: specific processes and methodologies, while also talking about the “why”: giving an intuition behind how a particular technique works, so that the reader can apply the generalized solution to the problem at hand.

Keywords

Creating Tag Clouds R Code R Interfacing R Programming Social Network Data Analysis Statistical Modeling Time Series Data

Authors and affiliations

  • Manas A. Pathak
    • 1
  1. 1.Foster CityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12066-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-12065-2
  • Online ISBN 978-3-319-12066-9
  • About this book