- Chapter 1: Line plots
- Chapter 2: Area plots
- Chapter 3: Bar pots
- Chapter 4: Stacked bar plots
- Chapter 5: Scatterplots
- Chapter 6: Weighted scatterplots
- Chapter 7: Histograms
- Chapter 8: Density plots
- Chapter 9: Function plots
- Chapter 10: Boxplots
- Chapter 11: Linear regression plots
- Chapter 12: LOWESS plots
The Hitchhiker's Guide to Ggplot2
This book will help you master R plots the easy way. We have spent a long time creating R plots with different tools (base, lattice and ggplot2) during different academic and working positions. If you want to create highly customised plots in R, including replicating the styles of XKCD, The Economist or FiveThirtyEight, this is your book.
This book is available in multiple packages!
This book will help you master R plots the easy way. We have spent a long time creating R plots with different tools (base, lattice and ggplot2) during different academic and working positions. If you want to create highly customised plots in R, including replicating the styles of XKCD, The Economist or FiveThirtyEight, this is your book.
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About
About the Book
This is a technical book. The scope of the book is to go straight to the point and the writing style is similar to a recipe with detailed instructions. It is assumed that you know the basics of R and that you want to learn how to create beautiful plots.
Each chapter will explain how to create a different type of plot, and will take you step-by-step from a basic plot to a highly customised graph. The chapters' order is by degree of difficulty.
Every chapter is independent from the others. You can read the whole book or go to a section of interest and we are sure that it will be easy to understand the instructions and reproduce our examples without reading the first chapters.
- Pages: 237
- Language: English
- ISBN-13: 978-956-362-693-3
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Author
About the Authors
Mauricio Vargas Sepúlveda
I am a PhD student in Political Science at the University of Toronto. My research interests include International Relations, Canadian Politics and Public Policy, with a focus on the politics of trade agreements and sanctions. I have a Master of Arts in Political Science from the University of Toronto, a Master of Science in Statistics from the Catholic University of Chile, and an Engineering degree from the University of Chile. I can provide my CV (academic/professional) upon request. You can reach me at m.sepulveda+removethis@mail.utoronto.ca (please remove the +removethis).
See my website (pacha.dev) and my blog (pacha.dev/blog).
Jodie Burchell
Jodie Burchell is the Developer Advocate in Data Science at JetBrains and was previously Lead Data Scientist in audience generation at Verve Group Europe. After finishing her PhD in psychology and a postdoc in biostatistics, she has worked in a range of data science and machine learning roles across the fields of search improvement, recommendation systems, NLP, and programmatic advertising. You can see more of her work at her blog, Standard Error.
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