/COVID19

COVID19 Analysis

Primary LanguagePythonMIT LicenseMIT

COVID19

The idea is to do normalized analysis on case data for COVID19 obtained from https://github.com/CSSEGISandData/COVID-19, to infer hidden trends in data that are not apparent from the absolute values of data.

Confirmed Cases:
https://github.com/parampopat/COVID19/blob/master/analysis_time_series_covid19_confirmed_global.csv

Image of US and India's Case Growth Rate

Recovered Cases:
https://github.com/parampopat/COVID19/blob/master/analysis_time_series_covid19_recovered_global.csv

Image of US and India's Case Growth Rate

Death Cases:
https://github.com/parampopat/COVID19/blob/master/analysis_time_series_covid19_deaths_global.csv

Image of US and India's Case Death Rate

Author:
Param Popat (LinkedIn)

Source:
GitHub