The result of my internshp with the GVSU Social Science Lab. A set of interconnected Google files (created through an R Shiny App and Google APIs) allowing high school students to automatically transform raw data collected on local watersheds into eye-appealing, interpretable plots. Code hosted on GitHub. See also the internship final report.

CIS 671 (Information Visualization) course project. I chose to build a Shiny App in R allowing users to visualize pitches from the 2024 regular season. The app allows for filtering by a variety of categories and provides a few visualizations with the goal of aiding batters in preparing to face major league pitchers. Code hosted on GitHub. See also the project final report.

A package written for introductory statistics students/learners providing an easy way to generate nice-looking plots and tables without focusing on the code used to create them. Hosted on GitHub.

A recommendation algorithm for Spotify users. Designed for future research uses by anyone. Hosted on GitHub.

A course project testing various methods to predict the hit distance of a batted ball. The code can be found on GitHub and the report is hosted here.

Presentation given to the West Michigan R User Group introducing the baseballr package. The code can be found on GitHub and the report is hosted here.

A personal project dedicated to counting and analyzing my personal baseball card collection. The GitHub repository contains the raw card data as well as development code for a Shiny App.