This project was a part of the University of Arizona Data Analaysis Bootcamp (2023). The project is focused on telling a story using data visualizations.

Within the United States, 700 heat-related deaths occur yearly. These deaths are preventable, and we can decrease these numbers by spreading awareness. Our team aims to provide a dashboard linking health data to clear visualizations that the public can use. Using the CDC's National Environmental Public Health Tracking Network data API, we created a dashboard to provide public acccess to heat-related illness data.

Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web API. www.cdc.gov/ephtracking.

• How to communicate and work efficiently within a team.

• Abby
• Brittany
• Dakota
• Noelle
• Acknowledgements:
  • Our instructor & teaching assistant: Mark F, Zachary Johnson

1. Your visualization must include a Python Flask-powered API, HTML/CSS, JavaScript, and at least one database (SQL, MongoDB, SQLite, etc.).
2. Your project should fall into one of the following three tracks:
   • A combination of web scraping and Leaflet or Plotly
   • A dashboard page with multiple charts that update from the same data
   • A server that performs multiple manipulations on data in a database prior to visualization (must be approved)
3. Your project should include at least one JS library that we did not cover.
4. Your project must be powered by a dataset with at least 100 records.
5. Your project must include some level of user-driven interaction (e.g., menus, dropdowns, textboxes).
6. Your final visualization should ideally include at least three views.