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Introduction

I looked at the Ciovid-19 statistics from Johns Hopkins University. There are raw data for confirmed cases and deaths by date for each county in each state. The data also includes. I also extracted state population, area and population density from https://www.states101.com/populations on each state from 

'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_US.csv',

          'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_US.csv'

Results

 

 USUS with fit
Deaths vs ConfirmedHereHere
Deaths vs % population confirmed with Corona-19 virus Here

Notes:

 

Deaths vs Confirmed:

  • Straight line in log-log plot followed by most states. This indicates it follows a power law (exponential increase in both measures (deaths and % confirmed)).
  • High outliers are NM and NH
  • Washington state started getting confirmed cases first starting at the end of February.
  • Washinton state started having deaths in early March

Deaths vs %population confirmed

  • Wide dispersion (not all states on line as seen in log-log plot)
  • % Confirmed and deaths both low for AK, VT, NH, ID
  • Cluster of DE, DC and RI with low deaths compared to the % confirmed cases
  • NY, NJ, MA, DE, CT, LA, RI DC have the highest % confirmed cases.
  • By March 14th, WA, NY, CA, FL were reporting deaths.

 

 

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