I got frustrated that there are so many sites with COVID data, but none shows them in a way that is easy to spot trends.
So I hacked up my own script to pull the data from https://covidtracking.com/api and visualize the data in a way that is meaningful to me.
To use the program you need Python 3 with numpy and matplotlib.
This tool plots daily new cases and the 7-day moving average. Use it like this:
show_state.py <your_state>
Example:
show_state.py nj
Run show_state.py --help for additional options.
Try it for different states and make your own calls when they can/should open and if they have already opened whether they made the right call.
This tool compares 7-day moving average of new cases for multiple states. Use it like this:
compare_states.py <state1> <state2> ....
Example:
compare_states.py ny nj ct pa
List states of interest and see how the stack up both in absolute number of new cases and their trends. You can use it on neighboring states to spot the regional trend or on any set of random states to tell whether one state made better decision than the other.
Run compare_states.py --help for additional options.