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.
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.
