COVID19 Tracker

Overview:

The COVID19-Tracker is a Python web app built with Django that visualizes the recent outbreak of COVID-19. It utilizes data from reputable sources such as JHU CSSE and BNO to provide up-to-date information on confirmed cases and deaths. The main page features a table, a map, and a chart to display this data. Users can set up a local copy of the tracker by following the installation guide provided.

Features:

• Data Visualization: The app presents COVID-19 outbreak data in a visually appealing manner, including tables, maps, and charts.
• Real-time Updates: The data on the site is updated hourly from BNO's spreadsheet, ensuring users have the most recent information.
• Data Sources: The app sources data from reputable sources such as JHU CSSE and BNO, providing reliable and accurate information.
• Easy Setup: The installation process for setting up a local copy of the tracker is simple and straightforward.
• Virtual Environment Support: Users have the option to set up a virtual environment using the provided instructions for a clean and isolated installation.
• Database Management: The app utilizes a database to store and retrieve data, allowing for efficient querying and retrieval of information.
• Contribution-friendly: Users are encouraged to contribute to the project by forking the repository and submitting pull requests or creating issues for bug reports and feature requests.

Summary:

The COVID19-Tracker is a web app that uses Django and Python to visualize the outbreak of COVID-19. It provides real-time data updates sourced from JHU CSSE and BNO. Users can easily set up a local copy by following the installation guide. The app offers various features for data visualization and is open to contributions from the community.