R for the Rest of Us: A Statistics-Free Introduction

Make R Work for You 📊

R has a reputation as a statistician’s tool, but that’s only part of the story. R for the Rest of Us by David Keyes reveals how R can handle visualizations, reports, websites, and automation—all without requiring a deep background in statistics.

This book is for anyone who works with data but has felt locked out of R’s more statistical side. Whether you’re a journalist, analyst, researcher, or student, you’ll find a practical, approachable path to using R effectively.

What You’ll Learn

• Build compelling visualizations with ggplot2, including custom themes
• Create maps and work with geospatial data
• Design clear, effective tables
• Generate reproducible reports with R Markdown and Quarto
• Automate reporting using parameterized documents
• Make slideshow presentations with xaringan
• Build and host websites with distill and Quarto
• Access online data from Google Sheets and the US Census
• Write your own functions and R packages

Who This Book Is For

If you’ve been curious about R but put off by its statistical reputation, this is your entry point. The book assumes no prior programming experience, though familiarity with basic data concepts will help. It’s ideal for professionals who need to present data, create reports, or automate repetitive tasks.

Why It Stands Out

Rather than focusing on hypothesis tests and regression, Keyes emphasizes the practical, day-to-day uses of R that often get overlooked. The result is a guide that feels immediately applicable—whether you’re making a chart for a presentation or building an interactive website.

With clear explanations and real-world examples, R for the Rest of Us helps you turn R into a versatile tool for your own work.