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For each state, we extracted various demographics including the ISO 2 character label, population, area, population density, education, income, median age, political leaning. The demographics were obtained from the following sources.


A Perl script covid-us.pl was developed to gather the above information and cast it in a suitable form for the www.charte.ca motion charts and correlation data.  See here for example.

Results

Motion chart of deaths vs Covid-19 Confirmed cases with bubbles sized by population for US states

Motion chart  of  IPDV (Inter Packet Delay Variability or Jitter) vs Covid-19 Confirmed cases with bubbles sized by population density for Latin America 

Motion chart of IPDV (Inter Packet Delay Variability or Jitter) vs Covid-19 Confirmed cases with bubbles sized by population for selected countries colored by continentMotion plot

Notes:

Ungrouped

Deaths vs Confirmed:

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If we color the bubbles by each state's political leaning the chart appears below. It is apparent that Covid-19 is impacting democratic states the hardest, followed by the swing states.

Possible further work

  • Looks at dividing states into 0-12%, 25-50%, 50%-75%, 75%-100% for the education and income demographics, and using these to group the states.
  • Look at the California counties data from JHU using the same analysis and visualization.