《Covid-19 Data Time Series Analysis》

In this paper, the time series analysis was utilized to carry out the exploration for the covid 19 dataset form different countries and cities. The paper tried to find the pattern of confirmed cases with Holt-Winters seasonal method as the virus spread and further more to forecast the future confirmed cases to help the people and government to coordinate the plan for time, expenses and resources. Also, the data visualization for the cases trend and distribution will also be provided. We find the Holt model can predict pretty good for the future cases using training and testing set validation