Data Visualisation With R: 111 Examples

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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.

Author(s): Thomas Rahlf
Publisher: Springer
Year: 2019

Language: English
Pages: 461
Tags: Computer Graphics, Data Visualisation

Front Matter ....Pages i-xx
Data for Everybody (Thomas Rahlf)....Pages 1-4
Front Matter ....Pages 5-5
Structure and Technical Requirements (Thomas Rahlf)....Pages 7-24
Implementation in R (Thomas Rahlf)....Pages 25-75
Beyond R (Thomas Rahlf)....Pages 77-87
Regarding the Examples (Thomas Rahlf)....Pages 89-92
Front Matter ....Pages 93-93
Categorical Data (Thomas Rahlf)....Pages 95-190
Distributions (Thomas Rahlf)....Pages 191-238
Time Series (Thomas Rahlf)....Pages 239-301
Scatter Plots (Thomas Rahlf)....Pages 303-326
Maps (Thomas Rahlf)....Pages 327-383
Illustrative Examples (Thomas Rahlf)....Pages 385-411
Interactive Visualisation with JavaScript: Highcharts and Mapael (Thomas Rahlf)....Pages 413-446
Back Matter ....Pages 447-451