This is an interactive tool I developed alongside a group for a databases course at the University of Florida. Data detailing deaths related to COVID-19 was pulled from the U.S. Department of Health & Human Services into an Oracle database instance provided by the university. This tool enables users to customize their visualizations based on a variety of factors, including the age group, state, region, condition, and condition group related to deaths.

The ultimate goal of this project was to create a tool that can uncover trends not already existing in the database. This encouraged more complex queries, which helped me to understand writing SQL at a higher level. Beyond this, in developing the visualization tool on the frontend, I was able to gain more experience with React by managing state and the large amount of data that flows through this tool. Lastly, the backend for this project was written with Express and Node.js, which gave me the opportunity to understand how to integrate an Oracle database with these tools.

Unfortunately, access to the database this tool connects requires access to UF’s networks, so it cannot be hosted publicly. The source code of this tool is also private in order to respect UF’s academic integrity policy. For this reason, a demonstration of this tool is provided below.