This was my undergrad capstone project. It was an idea for how to go about communicating the impact of the opioid crisis to the public.

To run the application:

python app.py

This will start a local flask server listening on port 8080.

Required packages (used pip3 for Python, and npm for JS):

Flask, Pandas

d3, leaflet, Leaflet.markercluster, topojson, bootstrap, crossfilter, jquery, underscore, queue

Just need to download the source code and associated packages.

I just used Codacy to test my coding style.

Line 41 in the app.py file may need to be modified to make it run on a live system.

app.run(host=os.getenv('IP', '0.0.0.0'), port=int(os.getenv('PORT', 8080)))

• Flask - The Python framework used
• Pandas - Reads the data and turns it into JSON
• d3 - Used to generate the charts
• leaflet - Used to make the map
• bootstrap - Handles the layout of the web page
• crossfilter - Handles the dynamic filtering of the data in the charts.
• underscore - Convenience JS functions

• Sean Bergunder - Initial work - paperplate

This project is licensed under the MIT License - see the LICENSE.md file for details