Data Visualisation with R
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Data Visualisation with R : 100 Examples

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Description

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.show more

Product details

  • Hardback | 385 pages
  • 155 x 235 x 23.88mm | 765g
  • Springer International Publishing AG
  • Cham, Switzerland
  • English
  • 1st ed. 2017
  • 162 Illustrations, color; 19 Illustrations, black and white; XV, 385 p. 181 illus., 162 illus. in color.
  • 3319497502
  • 9783319497501
  • 61,098

Review quote

"I definitely recommend this book. The example-based approach is very successful for introducing readers to R's graphical capabilities; readers can learn proficiency in using base R graphics for obtaining exactly the static presentation figure they envision - including ambitious infographics. ... Last but (by far) not least, the book can be used as a collection of ideas for useful, informative and beautiful graphical displays." (Ulrike Gromping, Journal of Statistical Software, Vol. 81, October, 2017)"If you've ever been interested in coding using R, then this book is for you. ... If like me, you need hands-on guidance the examples (which use real data) are shown with a step-by-step walkthrough teaching you everything that you need to know." (Sandro Sorrentino, Medium, medium.com, February, 2017)"This is a well written book for designers. ... Enjoy this book. I am having fun getting the code to work on other data." (Mary Anne Thygesen, Cats and Dogs with Data, maryannedata.com, May, 2017)show more

About Thomas Rahlf

Thomas Rahlf has 20 years of experience in data visualization. Holding a PhD in the history of statistics and econometrics, his areas of expertise include also historical statistics, time series analysis and statistical inference. He is director in the department of quality and program management at the German Research Foundation as well as a lecturer at the University of Bonn, Germany. Graphics and statistics have been a key element of his work for a long time. Recent publications include "Statistical Inference" in the Handbook of Cliometrics (Springer Reference Series, 2016) and "The German Time Series Dataset, 1834-2012" (Journal of Economics and Statistics, Vol. 236/1). He is also the editor of a book about historical statistics of Germany.show more

Back cover copy

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 datashow more

Table of contents

Data for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.show more

Review Text

"I definitely recommend this book. The example-based approach is very successful for introducing readers to R's graphical capabilities; readers can learn proficiency in using base R graphics for obtaining exactly the static presentation figure they envision - including ambitious infographics. ... Last but (by far) not least, the book can be used as a collection of ideas for useful, informative and beautiful graphical displays." (Ulrike Grömping, Journal of Statistical Software, Vol. 81, October, 2017) "If you've ever been interested in coding using R, then this book is for you. ... If like me, you need hands-on guidance the examples (which use real data) are shown with a step-by-step walkthrough teaching you everything that you need to know." (Sandro Sorrentino, Medium, medium.com, February, 2017) "This is a well written book for designers. ... Enjoy this book. I am having fun getting the code to work on other data." (Mary Anne Thygesen, Cats and Dogs with Data, maryannedata.com, May, 2017)show more