Data analysis on Corona Virus Disease (Covid-19)- Its Challenges in the Midst of Pandemic

Abstract

The world is experiencing a infectious and deadly disease Novel Corona Virus termed as Severe Acute Respiratory System (SARS-Cov-2) since December 2019, which was originally referred to as 2019-nCov. The Covid–19 is declared a pandemic by World Health Organization (WHO) which means it is highly contagious and deadly. This is categorized as novel SARS-Cov-2 virus.  The Covid – 19 pandemic has affected the whole world and continuous to cause immense disruption across the globe and poses a serious threat to physical and mental wellbeing. This paper consists of Introduction, Challenges, Literature Review, Data Analysis and Conclusion. The introduction part gives the information about Covid-19, precautionary measures to be taken to avoid Covid-19. Then discussed about challenges and opportunitiesprevail in Education, Climate Change, Technology, World Economy, Medicine and Health Care System, Migrant workers and people who work from home. It also helps to drawmeaningful inferences through analysisto understandthe spread of Covid-19 based on freely available datasets in GitHub Repository from 1^st April, 2020 to till 20^th July, 2020. The result of the datavisualizationanalysis shows total numbers of cases and new cases added day wise, and the relative number of confirmed, recovered and death cases and top three states which are most affected in Indiaare shown.