Analysis on Cutting Down of Stock Market Outbreak of Covid-19

Abstract

Human life was affected worldwide during the rough years of COVID-19, including the economic and social disruption that affected tens of millions of people. This research comes to a clear conclusion about which sectors are most affected, how it indirectly affects many other sectors, such as the financial stock exchange, and how it increases the risk of extreme poverty. This paper has arrived at a general conclusion about the stock market in the difficult years of 2019-21 of COVID-19. Different visualization techniques using some of the most popular libraries like Seaborn, Matplotlib, NumPy, and Pandas are used to know the accuracy and main content of a large, combined dataset. Before performing the visualization techniques, this study will combine datasets with different attributes and perform cleaning and integration methods on the combined dataset. The purpose of the project is to shed light on the stock market through an analysis of the daily closing prices of the market. The reason to take this project is for the overall growth of the economy and hope it will help many businesses developers.