Dan’s COVID Charts

Created by Dan Goodspeed
using data from New York Times and
visualization help from Flourish.

Some have asked for ways to donate to help keep the charts updated and to continue making more similar charts. I'm not expecting much, but if you'd like, I made a few options. Thanks! -Dan

Paypal | GoFundMe | Patreon

The numbers are the total confirmed normalized* cases per million for each state since June. A '10,000' means 1% of the state's population has tested positive of COVID since June 1. June 1 was chosen as it was around that time that countries worldwide that had been sucker-punched months before had the opportunity to apply proven preventative measures. It also provided an opportunity to contrast the resulting data with states' political affiliations, using the Cook Partisan Voting Index. The results suggest a strong correlation between a state's political leanings and its ability to employ proven science to slow the spread of COVID.

* "Normalization" means the abnormalities in the data were evened out. For example, if there were 10 days in a row of a few cases/deaths a day and then one day of 1000... that looks awful and frenetic on a chart like this, even when framed in a per-week display. In reality, that 1000 is just a backlog catch-up, so I normalized it by spreading the thousand over previous dates for a more even / more realistic data. It works similarly when the total number of cases/deaths drops one day. Likely a correction from a previous report, I just subtracted the difference over previous dates to numbers that are probably closer to reality.