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Tidyverse for Data Analysis: Cleaning, Transforming, Visualizing, and Reporting Data in R by Julian K. Mercer
English | April 28, 2026 | ASIN: B0GX2SQGHR | 536 pages | EPUB | 0.55 Mb
Reactive Publishing Tidyverse for Data Analysis is a practical guide to working with data in R using the core tools of the tidyverse. Designed for analysts, students, researchers, and data professionals, this book walks through the essential workflow of importing, cleaning, transforming, visualizing, and reporting data with clear examples and structured explanations.
The book focuses on practical data analysis tasks, including organizing messy datasets, reshaping data, creating reproducible workflows, building charts, summarizing results, and preparing analysis outputs for reports or presentations. Readers will learn how tidyverse tools fit together in a modern R workflow without unnecessary complexity or excessive theory.
Inside, readers will explore:
Data cleaning and preparation in R
Data transformation using tidyverse workflows
Practical visualization with ggDescription2
Reshaping and organizing datasets
Summarizing grouped data
Building repeatable analysis pipelines
Preparing tables, charts, and reports
Written in a clear, applied style, this book is suitable for readers who want to become more confident using R for real-world data work. Whether used for academic research, business analytics, finance, public policy, scientific analysis, or independent projects, Tidyverse for Data Analysis provides a structured foundation for turning raw data into usable insight.
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