Once filled out, this repository will hold a number of tools for downloading and visualizing air quality data stored in our database. At the moment we have two tools:
- Generate static map visualizations
- Generate animations over time
Generated maps look like this:
The fastest way to get up and running is by installing pipenv. After pipenv is installed, you can set up a new virtual environment:
pipenv install --skip-lock -r requirements.txtCheck the examples folder for Jupyter Notebooks containing examples.
pipenv run jupyter-notebook examplesTo create a new distro locally, go to root and run python deploy.py