The U. of Chicago has taken my infection rate metric (confirmed cases per million population) to the next level: interactive county-by-county visualization. This shows hot spots that state level data miss. Hot spots are counties with high infection rate that are surrounded by counties with elevated infection rates (this filters outliers, isolated counties with a high infection rate). The U. of Chicago is using the same data source that I have been using in my personal data analysis (1point3acres.com).

https://news.uchicago.edu/story/stat...ncluding-south

The tool allows you to drill down to county level data that includes:
1. Confirmed case count.
2. COVID-19 deaths.
3. Licensed hospital beds
4. Daily new data (cases, deaths, infection rate, death rate)

https://geodacenter.github.io/covid/map.html

The country-wide view can select from 10 different metrics:
1. Confirmed count
2. Confirmed count per 10k population
3. Confirmed count per licensed bed (this is well above 1 for the NYC area)
4. Death count
5. Death count per 10k population
6. Death count per Confirmed count
7-10. Daily metrics

All of this data is available by date since the start of the crisis. You can also compare state-only data to country data to see the dramatic difference between the two.