This is primarily a Jupyter Notebook with some support for running a subset of functions as Flask services. The motivation for this project was that local COVID data was only reported as raw data which is pretty useless. I also wanted to learn Python so the this code documents my journey in that endeavour. I found a standard county level dataset that was upated daily

Loads COVID and county population data and combine into single DataFrame. Perform 7 day moving average and normalize per 100k using conty population data.

Display current case counts for selected counties. Any set of CONUS counties can be displayed.

Display graph of case counts for selected counties. Any set of CONUS counties can be displayed. Date range is also selectable.

Builds animated GIF of maps over selected date range.

Pick map image to display by date.

• Jupyter Lab Interactive notebook
• Flask

• Python 3.7
• conda 22.9

• AWS AWS_ACCESS_KEY_ID

AWS_SECRET_ACCESS_KEY

• MongoDb

conda env create -f config/test_geo.yml

conda activate test_geo

jupyter lab

conda env create -f config/flask_env.yml

conda activate flask_env

flask run