This dashboard explores player and team performance during the 2024–25 NBA season using five visualizations. The Top 15 Scorers chart shows the players averaging the most points per game. The Top 15 Three-Point Shooters section compares players based on their three-point attempts, makes, and shooting percentage. The Average Team Rebounds per Game chart highlights which teams collect the most rebounds. The Favorite Guard Comparison section compares four guards across multiple statistics to show differences in their overall performance. Finally, the MVP Race visualization compares key statistics between Nikola Jokić and Shai Gilgeous-Alexander. Data Collected From: https://www.kaggle.com/datasets/eduardopalmieri/nba-player-stats-season-2425?resource=download

This project analyzes crime data from San Francisco during 2023 using R. The original dataset contained 132,914 rows and 6 columns, including information such as incident ID, datetime, crime category, police district, and geographic coordinates. Sf_crimes2023 For this analysis, the dataset was filtered to include only incidents categorized as “Larceny Theft,” resulting in 38,267 observations. Additional time-based variables were created from the datetime column, including date, month, day of the week, and hour, to better examine patterns in theft incidents. Sf_crimes2023 Three visualizations were created to explore these patterns: theft incidents by hour of the day, daily theft trends throughout 2023, and theft incidents by police district. This analysis helps highlight when and where larceny theft incidents occur most frequently in San Francisco. Data collected from: https://data.sfgov.org

STAT451 Final

Karl Castillo, Mathew Yeung

Team: Karl Castillo, Mathew Yeung

STAT 451 Dashboard Example