COVID19-Algeria-and-World-Dataset

COVID19-Algeria-and-World-Dataset A coronavirus dataset with 104 countries constructed from different reliable sources, where each row represents a country, and the columns represent geographic, climate, healthcare, economic, and demographic factors that may contribute to accelerate/slow the spread of the COVID-19. The assumptions for the different factors are as follows: Geography: some continents/areas may be more affected by the disease Climate: cold temperatures may promote the spread of the virus Healthcare: lack of hospital beds/doctors may lead to more human losses Economy: weak economies (GDP) have fewer means to fight the disease Demography: older populations may be at higher risk of the disease The last column represents the number of daily tests performed and the total number of cases and deaths reported each day. Data description Countries in the dataset by geographic coordinates Europe: 33 countries Asia: 28 countries Africa: 21 countries North America: 11 countries South America: 8 countries Oceania: 3 countries Statistical description of the data Data distribution Download The dataset is available in an encoded CSV form on GitHub. Python code