Yesterday I was trying to understand why the corona virus hit Massachusets so differently than it hit Georgia and Diego Zviovich shared a really nice bit of Mathematica code with me:
In case the graphs don’t so up show well from Twitter, here are the graphs of new positive cases in Massachusetts and Georgia since March (per 100,000 population)
Zviovich’s code was so easy to use that I made a gif of the charts for all states and territories. It wasn’t working well with WordPress, but you can see it on twitter here:
Tonight I asked me kids to look at the graphs from the different states and territories and pick out 4 that caught their eye.
My older son picked out Washington D.C., Louisiana, Nebraska, and South Dakota
My younger son picked out Kansas, Nebraska, New Jersey, and South Dakota
I thought this was a nice exercise for kids. Both to see how you can use computer programs to sift through lots of data, and also to see how to read and interpret graphs.
I’m going to admit some skepticism about the quality of data between states especially around deaths in nursing homes and deaths at home.
That’s based both on places that have already gone back and examined their records as well as some of the research on excess unexplained fatalities that sites like ft.com have done.
Its possible that covid has struck differently in different regions but for now reporting seems the most obvious explanation for some of the variations.