Organize R projects for volleyball analytics, manage file paths with the here package, and load DVW files efficiently. Covers project setup, folder structure, data validation, and working with DataVolley play-by-play data.

Understanding how R stores and manipulates data is critical for meaningful analysis. This tutorial covers variables, data types, vectors, and data frames, providing the foundation needed to extract actionable insights from volleyball performance data.

Before analyzing matches, you need a reliable, repeatable environment. This tutorial walks through installing R and RStudio, setting up a reproducible workspace, and preparing your system to handle volleyball data efficiently.