This project utilizes SafeGraph location data to show visit trends in the 2021 year for various fast food brands in Los Angeles. Through hover responsive callbacks and Uber's H3 "geo-hexes" the data can be analyized at a more precise geographic level.
The repository consists of:
- main.py which initializes and lays out the dashboard as well as operates the callbacks
- components.py provides helper functions and classes which make the objects on the dashboard
- metrics.csv and brands.csv sudo databases represented as comma separated values for easy manipulation
- Dockerfile provided for easy image building
- data/ summarized data files of selected SafeGraph data fields. Please note this data has been modified for the purposes of this project.
- docs/ project & code documentation
- Hover Responsive Callbacks with H3 Geo-Hexes
- Efficient demonstration of 2021 fast food trends in Los Angeles
- Clean One-Page Layout
- Dockerfile provided for easy deployment
Clone the project
git clone https://github.com/john-ramsey/fast_food_dashGo to the project directory
cd fast_food_dashInstall dependencies
pip install -r requirements.txtStart the server
python3 main.pyNote that you may have to change the host and port to run locally depending on your OS.
To run this project, you will need to add a mapbox key environment variable to your .env file. More information on mapbox and obtaining a free key can be found here.
mapbox_key