Columns

Name	Data type	Description
iso_code	object	Country code
continent	object	Description of continent
location	object	Description of location
date	date	Description of date
total_cases	float64	Description of total_cases
new_cases	float64	Description of new_cases
total_deaths	float64	Description of total_deaths
new_deaths	float64	Description of new_deaths
total_cases_per_million	float64	Description of total_cases_per_million
new_cases_per_million	float64	Description of new_cases_per_million
total_deaths_per_million	float64	Description of total_deaths_per_million
new_deaths_per_million	float64	Description of new_deaths_per_million
new_tests	float64	Description of new_tests
total_tests	float64	Description of total_tests
total_tests_per_thousand	float64	Description of total_tests_per_thousand
new_tests_per_thousand	float64	Description of new_tests_per_thousand
new_tests_smoothed	float64	Description of new_tests_smoothed
new_tests_smoothed_per_thousand	float64	Description of new_tests_smoothed_per_thousand
tests_per_case	float64	Description of tests_per_case
positive_rate	float64	Description of positive_rate
tests_units	object	Description of tests_units
stringency_index	float64	Description of stringency_index
population	float64	Description of population
population_density	float64	Description of population_density
median_age	float64	Description of median_age
aged_65_older	float64	Description of aged_65_older
aged_70_older	float64	Description of aged_70_older
gdp_per_capita	float64	Description of gdp_per_capita
extreme_poverty	float64	Description of extreme_poverty
cardiovasc_death_rate	float64	Description of cardiovasc_death_rate
diabetes_prevalence	float64	Description of diabetes_prevalence
female_smokers	float64	Description of female_smokers
male_smokers	float64	Description of male_smokers
handwashing_facilities	float64	Description of handwashing_facilities
hospital_beds_per_thousand	float64	Description of hospital_beds_per_thousand
life_expectancy	float64	Description of life_expectancy