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Data Visualisation with R

111 Examples

  • Thomas Rahlf
Book

Table of contents

  1. Front Matter
    Pages i-xx
  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 95-190
    3. Thomas Rahlf
      Pages 191-238
    4. Thomas Rahlf
      Pages 239-301
    5. Thomas Rahlf
      Pages 303-326
    6. Thomas Rahlf
      Pages 327-383
    7. Thomas Rahlf
      Pages 385-411
  5. Back Matter
    Pages 447-451

About this book

Introduction

This book introduces readers to the fundamentals of creating presentation graphics using R, based on 111 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. This second edition contains additional examples for cartograms, chord-diagrams and networks, and interactive visualizations with Javascript.

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 14000 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 111 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.Rheinische Friedrich-Wilhelms-Universität BonnBonnGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-28444-2
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-28443-5
  • Online ISBN 978-3-030-28444-2
  • Buy this book on publisher's site
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