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.
Thisbook 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.
|Publisher:||Springer International Publishing|
|Edition description:||Softcover reprint of the original 1st ed. 2017|
|Product dimensions:||6.10(w) x 9.25(h) x (d)|
About the Author
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.
Table of ContentsData for Everybody.- Structure and Technical Requirements.- Implementation in R.- Beyond R.- Regarding the Examples.- Categorical Data.- Distributions.- Time Series.- Scatter Plots.- Maps.- Illustrative Examples.
What People are Saying About This
“I really like this book: those 100 interesting real data examples with the detailed R-scripts for producing beautiful graphical visualisation are particularly helpful for learning R graphics. I will use it as a main textbook for data visualization for my statistics course.” (Professor Qiwei Yao, Department of Statistics, London School of Economics)
“I like the book. With my two doctoral course students, I use it as a text book for my ‚Doctoral Dissertation Research‘ course in this semester.“ (Prof Dae-Heung Jang, Department of Statistics, Pukyong National University, Busan, South Korea, 2017)