Data Visualisation with R

100 Examples

  • Thomas Rahlf

Table of contents

  1. Front Matter
    Pages i-xv
  2. Thomas Rahlf
    Pages 1-4
  3. Basics and Techniques

    1. Front Matter
      Pages 5-5
    2. Thomas Rahlf
      Pages 7-24
    3. Thomas Rahlf
      Pages 25-75
    4. Thomas Rahlf
      Pages 77-87
    5. Thomas Rahlf
      Pages 89-92
  4. Examples

    1. Front Matter
      Pages 93-93
    2. Thomas Rahlf
      Pages 95-167
    3. Thomas Rahlf
      Pages 169-216
    4. Thomas Rahlf
      Pages 217-279
    5. Thomas Rahlf
      Pages 281-304
    6. Thomas Rahlf
      Pages 305-351
    7. Thomas Rahlf
      Pages 353-379
  5. Back Matter
    Pages 381-385

About this book

Introduction

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 100 detailed and complete scripts. It shows how bar and column charts, population pyramids, Lorenz curves, box plots, scatter plots, time series, radial polygons, Gantt charts, heat maps, bump charts, mosaic and balloon charts, and a series of different thematic map types can be created using R’s Base Graphics System. Every example uses real data and includes step-by-step explanations of the figures and their programming.

The open source software R is an established standard and a powerful tool for various visualizing applications, integrating nearly all technologies relevant for data visualization. The basic software, enhanced by more than 7000 extension packs currently freely available, is intensively used by organizations including Google, Facebook and the CIA. The book serves as a comprehensive reference guide to a broad variety of applications in various fields.

This

book is intended for all kinds of R users, ranging from experts, for whom especially the example codes are particularly useful, to beginners, who will find the finished graphics most helpful in learning what R can actually deliver.

Features and Benefits

Offers a comprehensive introduction to creating presentation graphics with R

Presents the complete code of 100 examples from various fields

Includes step-by-step explanations of the programming of figures, based on real data

Keywords

Statistical Software Visualization Application Domains Visualisation Toolkits Data Visualisation R(Language)

Authors and affiliations

  • Thomas Rahlf
    • 1
  1. 1.Deutsche ForschungsgemeinschaftBonnGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-49751-8
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-49750-1
  • Online ISBN 978-3-319-49751-8
  • About this book