Data Visualisation with R (PDF)
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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
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.
- Autor: Thomas Rahlf
- 2017, 1st ed. 2017, 385 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319497510
- ISBN-13: 9783319497518
- Erscheinungsdatum: 31.01.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 99 MB
- Ohne Kopierschutz
- Vorlesefunktion
“Provides the reader with a broad and excellent overview of the various possibilities offered by R’s standard graphics package. … Overall, the book can especially be recommended for students and researchers that are already familiar with R and who intend to find suitable methods for visualizing their data in real world applications. Furthermore, it can also be helpful for students who want a broad overview of R and its visualization capabilities.” (Marc Hüsch, Statistical Papers, April, 2018)
“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)“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)
“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)
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