Professional R for Data Analysis: Advanced Techniques for Clean Code, Scalable Models, and Impactful Visuals

Whether you're new to programming or transitioning to R, this book provides a structured, hands-on guide to mastering data analysis. Learn how to:

✔ Wrangle and clean data efficiently using dplyr and tidyr.
✔ Create stunning visualizations with ggplot2 to uncover patterns.
✔ Apply essential statistics—hypothesis testing, regression, and clustering.
✔ Handle real-world challenges like missing data, outliers, and time series.
✔ Ensure reproducibility with R Markdown and best practices.

Packed with examples, exercises, and clear explanations, this book transforms beginners into confident R users—ready to tackle real data problems.