R for Data Science: Import, Tidy, Transform, Visualize, and Model Data – Wickham Hadley (2023)

This book teaches you how to use R to turn data into insight, knowledge and understanding. Designed for current and aspiring data scientists, it introduces data science with R and RStudio, together with the tidyverse, a collection of R packages designed to work together to make data science fast, fluent and accessible. Even without programming experience, readers can begin working with data science quickly. The book explains how to import, transform and visualize data, communicate results and understand the complete data science cycle, along with the basic tools needed to manage its details. Exercises in each section help you practise what you learn. Updated for the latest tidyverse best practices, this edition includes new chapters that explore visualization and data wrangling in greater depth, explain how to obtain data from spreadsheets, databases and websites, and introduce new programming tools. It covers visualization, including creating plots for data exploration and communicating results; transformation, including variable types and tools for working with them; importing data into R in a form suitable for analysis; programming with R tools for solving data problems clearly and easily; and communication, integrating prose, code and results with Quarto.