About

Outside of Political Science, I enjoy spending some of my free time statistically analyzing professional basketball. These projects involve leveraging data analysis tools like Tableau and R to gain insights into player performance. Each project represents a meticulous process of data collection, analysis, and visualization, aimed at providing valuable information to basketball and fantasy sports enthusiasts alike.

Fantasy Basketball 2024

Tableau Dashboard: Link.
Description: Dashboard designed to see the best performers of the 2024 Basketball season. Graphs include: Assist to Turnover Ratio, Games Played & Average Points, and Average by position.

Storing in Database (SQL): Link.

Description: Details about storing basketball data in a SQL database for easy retrieval and analysis.

Fantasy Basketball Rankings Shiny App 2024 (R): Link.
Description: Developed a Shiny app post-2024 season to evaluate the best and worst fantasy performers.

Creating 2024 Data-frame (R): Link.
Description: Detailed the process of compiling and merging data from multiple sources to create the data for the Shiny app.

Fantasy Basketball 2023

Fantasy Shiny Application 2023 (R): Link.
Description: Created a Shiny app following the 2023 season to analyze fantasy player performance. This inaugural version has some extra features that were later scrapped for the 2024 edition.

Creating 2023 Data-frame (R): Link.
Description: Explained the steps taken to assemble the data from various sources for the 2023 Shiny app.