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.

“Long overdue in the R ecosystem.”—Oscar Baruffa, Big Book of R“A great resource for anyone wishing to learn R without the intimidating jargon that normally comes with software books.”—Cara Thompson, Data Visualization Consultant at Building Stories with Data“David has captured some of the most compelling ways to use R for data visualization and maps, automation, reporting, and building websites.”—Tom Mock, Product Manager at Posit“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.”—Cédric Scherer, data visualization and information graphics designer“Demonstrates how succinctly R can be used to rapidly solve non-statistics problems.”—Bob Rudis , author of Data-Driven Security: Analysis, Visualization and Dashboards and VP of Data Science, Security Research & Detection Engineering at GreyNoise Intelligence“David Keyes delivers a comprehensive and approachable guide to R programming in R for the Rest of Us. 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.” —Gabriela de Queiroz, Director of AI, Microsoft; Founder of R-Ladies and AI Inclusive

• IntroductionPart 1: Visualizations Chapter 1: An R Programming Crash CourseChapter 2: Principles of Data VisualizationChapter 3: Making Your Own ggplot ThemeChapter 4: Creating MapsChapter 5: Crafting High-Quality TablesPart 2: Reports, Presentations, and WebsitesChapter 6: Writing Reports in R MarkdownChapter 7: Using Parameters to Automate ReportsChapter 8: Making Slideshows with xariganChapter 9: Building Websites with distillChapter 10: Reproducible Reporting with QuartoPart 3: Automation and Collaboration Chapter 11: Accessing Online DataChapter 12: Creating Your Own R Packages

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.

“Long overdue in the R ecosystem.”—Oscar Baruffa, Big Book of R“A great resource for anyone wishing to learn R without the intimidating jargon that normally comes with software books.”—Cara Thompson, Data Visualization Consultant at Building Stories with Data“David has captured some of the most compelling ways to use R for data visualization and maps, automation, reporting, and building websites.”—Tom Mock, Product Manager at Posit“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.”—Cédric Scherer, data visualization and information graphics designer“Demonstrates how succinctly R can be used to rapidly solve non-statistics problems.”—Bob Rudis , author of Data-Driven Security: Analysis, Visualization and Dashboards and VP of Data Science, Security Research & Detection Engineering at GreyNoise Intelligence“David Keyes delivers a comprehensive and approachable guide to R programming in R for the Rest of Us. 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.” —Gabriela de Queiroz, Director of AI, Microsoft; Founder of R-Ladies and AI Inclusive

• IntroductionPart 1: Visualizations Chapter 1: An R Programming Crash CourseChapter 2: Principles of Data VisualizationChapter 3: Making Your Own ggplot ThemeChapter 4: Creating MapsChapter 5: Crafting High-Quality TablesPart 2: Reports, Presentations, and WebsitesChapter 6: Writing Reports in R MarkdownChapter 7: Using Parameters to Automate ReportsChapter 8: Making Slideshows with xariganChapter 9: Building Websites with distillChapter 10: Reproducible Reporting with QuartoPart 3: Automation and Collaboration Chapter 11: Accessing Online DataChapter 12: Creating Your Own R Packages