This project leverages a SQL database and REST API to analyze and visualize interesting trends in baseball data. By structuring the data into a well-defined schema and optimizing queries, the website provides interactive visualizations that offer insights into five select aspects of baseball statistics.
Note: The hosted database and backend API are no longer active.
As a result, the live website is currently non-functional — interactive charts and data-driven features will not load.
This project is deployed on Oracle Cloud DB and Compute. After the initial completion, I (Alec) migrated the app and database to my personal Oracle Cloud instance for public access. Interested developers can find the deployment-specific modifications in the Oracle deployment branch.
🔗 Live App: Baseball Data Trends
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- Five interactive visualizations of baseball statistical data
- REST API for querying and fetching data
- Hosted on Oracle Cloud with an Autonomous SQL Database
- Frontend built with Vue.js & Quasar, backend powered by Node.js & Express
- Vue.js (JavaScript framework)
- Quasar Framework (UI framework for Vue)
- Chart.js (Data visualization library)
- Node.js (JavaScript runtime)
- Express.js (REST API framework)
- Oracle Autonomous Database (SQL-based data storage)
- Oracle Cloud Compute Instance (Deployment server)
- Alec Patterson
- Joseph Barron
- Christian Carey
- Quan Nguyen
This project is not licensed for public use. Please contact me for permissions.
