My COVID-19 data experiments

These are my attempts at visualizing and analysing CoVID-19 data put out on the github datasets curated from the JHU data. Do not take anything here too seriously. I am just a physicist trying to calm my mind and maybe provide some useful information to people during lock-down by doing some simple data anlysing/modelling. If you want real research go to the real epidemiologists at some university/institute not to the random guy on the internet (i.e. me).

Relative growth in time

This one goes to the heart of exponential growth. If it is exponential its relative growth is constant. If not - we will get linear change or other curve. You can distinquish the exponent by its growth rate much easier.

Additionally exponential decay seems to fit the growth rate curves quite well.

Trajectory

This one is inspired by the excellent https://aatishb.com/covidtrends/ page

Other curves