Analysis of COVID-19 Impact using Data Visualization

Abstract

The world has suffered from many crises and pandemics in the past but it's the creativity and inventiveness of its people and their rigorous efforts with the capacity to think out of the box which has made them combat and overcome those situations The world is facing a similar situation with the inception of COVID-19 The deadly new coronavirus first detected in Wuhan;the capital of China's Hubei province has sat its foot across the globe by infecting millions of people worldwide Nevertheless, tough times ask for draconian measures and smart solutions, so the objective of our research work is to analyse the data with the help of visualization using Python to delineate and bring out a result by comparing the COVID-19 outbreak in different continents and countries like the USA, China, India, Italy, and Taiwan For differentiation, we have used the total number of confirmed cases, the total number of casualties, and the total number of recovered cases of the COVID-19 Additionally, we have also compared the total number of tests conducted by the countries mentioned above Our research will also concentrate on what makes COVID-19 pandemic different from other epidemics like SARS (2003), MERS (2012), Ebola (2014) by comparing their mortality rate, contagiousness, and symptoms For all the comparison we have used data visualization This research provides a comprehensive understanding of COVID-19 and compares its impact on different regions of the world with the help of Data Visualization and it will also help to derive a better solution for future emergencies