“Long overdue in the R ecosystem.”<br /><b>—Oscar Baruffa,</b><i><b> Big Book of R</b><br /></i><br />“A great resource for anyone wishing to learn R without the intimidating jargon that normally comes with software books.”<br /><b>—Cara Thompson, Data Visualization Consultant at Building Stories with Data</b><br /><br />“David has captured some of the most compelling ways to use R for data visualization and maps, automation, reporting, and building websites.”<br /><b>—Tom Mock, Product Manager at Posit</b><br /><br />“An easy-to-read source of exciting case studies, relevant code snippets, and helpful explanations—no matter if you're an experienced programmer or not.”<br /><b>—Cédric Scherer, data visualization and information graphics designer</b><br /><br />“Demonstrates how succinctly R can be used to rapidly solve non-statistics problems.”<br /><b>—Bob Rudis , author of </b><i>Data-Driven Security: Analysis, Visualization and Dashboards </i><b>and VP of Data Science, Security Research & Detection Engineering at GreyNoise Intelligence</b><br /><br />“David Keyes delivers a comprehensive and approachable guide to R programming in <i>R for the Rest of Us.</i> His expertise shines through in every chapter, making complex concepts understandable and applicable. This book is a fantastic and invaluable resource for anyone working with or aspiring to work with data, regardless of their background. Highly recommended.” <br /><b>—Gabriela de Queiroz, Director of AI, Microsoft; Founder of R-Ladies and AI Inclusive</b>
Part 1: 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 2: 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 3: Automation and Collaboration
Chapter 11: Accessing Online Data
Chapter 12: Creating Your Own R Packages