R Without Statistics

For statisticians, R is the go-to programming language for complex numerical analysis—but it comes in handy for a lot more than that. In R Without Statistics you’ll discover ways that R can be used by the rest of us! Packed with real-world examples and easy-to-follow coding instructions, it introduces R’s application in a wide range of non-statistical tasks, from data visualization and interpreting survey results, to map plotting and automating workloads.

Each chapter features an actual R programmer who achieved something novel using the language, and then covers the case study and code samples demonstrating exactly how they did it. Whether it’s creating visualizations for Scientific American, applying a consistent theme to BBC graphics, organizing professional government reports, or effectively mapping the spread of COVID-19, R offers a unique way to transform your work.

About the Author

David Keyes is the founder and CEO of R for the Rest of Us (rfortherestofus.com), which offers online courses, workshops, and custom training sessions that help organizations take control of their data. He has a PhD in anthropology from UC San Diego, as well as a master's degree in education from Ohio State, and has dedicated his professional life to teaching people to embrace R as the most powerful tool for data analysis and visualization.

Table of contents

Introduction
Part I: Visualizations
Chapter 1. An R Programming Crash Course
Chapter 2. Principles of Data Visualization
Chapter 3. Making Your Own ggplot Theme
Chapter 4. Creating Maps
Chapter 5. Crafting High-Quality Tables

Part II: Reports, Presentations, and Websites
Chapter 6. Writing Reports in R Markdown
Chapter 7. Using Parameters to Automate Reports
Chapter 8. Making Slideshows with xarigan
Chapter 9. Building Websites with distill
Chapter 10. Reproducible Reporting with Quarto

Part III: Automation and Collaboration
Chapter 11. Accessing Online Data
Chapter 12. Creating Your Own R Packages