kotanrn / covid-county

COVID visualization

Written in Python 2.7, this project uses John's Hopkins data to visualize COVID infection data for a user selected county.

County.py:

Shows a graph of active infections of a user-selected country, state/province, or county.

States.py:

Displays all active infections of all US states on the most current data only.

Requirements:

python version 2.7

Windows:

https://www.python.org/ftp/python/2.7.17/python-2.7.17.amd64.msi

Mac:

https://www.python.org/ftp/python/2.7.17/python-2.7.17-macosx10.9.pkg

Dependencies:

pip install pprint matplotlib

Common combined keys:

--- Bell, Texas, US

--- Coryell, Texas, US

--- Lampasas, Texas, US

To do:

--- Calculate Rt values to predict if that selected county is "winning the fight" against COVID-19 (SAR-CoV-2).

DO NOT SAVE / RUN THIS ON YOUR DESKTOP! IT WILL FILL UP YOUR SCREEN WITH A LOT OF DATA FILES!

Instead, put the script in it's own folder such as COVID or County. and run it there.

John's Hopkins data:

https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_daily_reports