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Motion chart of deaths vs Covid-19 Confirmed cases with bubbles sized by population for US states and colored by political leaning
Notes:
Ungrouped
Deaths vs Confirmed:
We tend to use a log log chart which provides a greater visibility of a wide range of data (compare the two charts below), and since both the confirmed data and deaths are exponential in their behavior for most states.
Linear plot Log Log plot
.- The first confirmed cases were seen by WA 1/22/20, IL a day later and AZ & CA on 1/25/20
. - First deaths reported for Washington State were at the start of March
. - Deaths start to really increase in the second week in March
. - By the start of April, NY followed by NJ were leading the way in both deaths and confirmed cases
. - By the end of the second week in April, SD and UT are noticeably below the general line followed by other states
. - On 3/30/20 WV was the last state to record a Covid-19 death
- At the end of the second week in April, WY appears to be the last state to have greater than one Corona-19 death.
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Deaths/Million Population vs Confirmed cases/Million Population
- The leading states in terms of deaths per million population are: NY, NJ, CT, MA, LA, MI, DE,DC, RI.
The leading states in terms of confirmed per million of population are: NY, NJ, MA, DE, CT,RI, LA, DC, MI
If one does not normalize by population the NY and NJ standout followed by the top of the bunch being MA and MI
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Looking at a log vs log plot the trailing states one sees the lowest deaths are for AK SD, HI, MT, WY, ND. The lowest Confirmed cases are for AK, SD, SD,HI, MT, WY, ND. - Note that since it is a log-log scale no bubble appears for a state until there is at least 1 confirmed case and 1 death for the state.
- % 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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Grouped by Income | Grouped by Age | |
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Possible further work
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- Look at the California counties data from JHU using the same analysis and visualization.
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