As I hear news stories about COVID-19 trends, I like to look at data to form my own opinion if the narratives are in line with the data. I often want to compare current numbers to the high-water marks for bellweather countries and states. For international COVID data visualizations, my favorite site is Financial Times’ Coronavirus Chart.
I like to see the metrics per 1M people so I can compare countries, regardless of their size.
I created a Python script to create small multiples of key COVID data from The COVID Tracking Project. It allows me to scan the state data to get a comprehensive view of key metrics.
I published the charts on my Covid Small Multiples page.
New Cases For Select States All Time Last 90 Days New Cases Hospitalizations Deaths Description These charts show per capita (1M people) data for changes in positive cases, hospitalizations, and deaths sourced from The COVID Tracking Project. The data is shown as small multiples to allow the reader to scan the changes across the states. Per capita numbers are shown to see similar metrics regardless of state population.