Introduction to R: Data Analysis and Visualization

This book brings together a series of applied data analysis projects completed as part of a Reproducible Psychological Research R course. Using real-world datasets, the projects highlight key R skills such as data cleaning, transformation, visualization, statistical modeling, and building interactive Shiny applications. Each chapter reflects a step in my learning process, showing how I worked through moving from raw data to meaningful, interpretable results using reproducible workflows in R.