SPORT ANALYSIS WITH R

### Abstract: Sport Analysis with R

Sports analytics has revolutionized the way teams, coaches, and analysts make data-driven decisions to enhance performance, strategy, and player management. R, a powerful statistical computing language, has become a valuable tool for sports analysis due to its extensive data visualization, machine learning, and statistical modeling capabilities. This training explores the application of R in sports analytics, covering key aspects such as performance evaluation, injury prediction, game strategy optimization, and player scouting. Using real-world datasets, we demonstrate how R can be utilized for descriptive, predictive, and prescriptive analytics to uncover meaningful insights. The study highlights various R packages like ggplot2, dplyr, caret, and shiny, which facilitate data cleaning, exploratory analysis, and interactive reporting. The findings underscore the effectiveness of R in enhancing decision-making processes across different sports, thereby contributing to improved team performance and strategic planning.