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

For each given date, the number is the total of new normalized* cases that week (that date, plus the three before and three after). So a '1000' means 0.1% of the state's population received a positive COVID diagnosis that week.

* "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.