IJCRRI Journ Cur Res ReInternational Journal of Current Research and ReviewI Journ Cur Res Re2231-21960975-5241Radiance Research Academy3798 http://dx.doi.org/10.31782/IJCRR.2021.SP210HealthcareData Analysis and Visualization of the Coronavirus Pandemic [Covid-19] in Major Countries Using Python V.KulshreshthaNKGargJKMaherchandani11062021WaOV7780This article is copyright of Popeye Publishing, 20092009This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.

Introduction: Human being is facing with an invisible enemy; the novel COVID-19 coronavirus. It was at the start found in the Wuhan province of China. Now it is spreading around the globe. Objective: The paper aims to explain total cases, new cases, total deaths, and new deaths caused by coronavirus pandemic [Covid-19] of three major countries viz. USA, Brazil, and India during this pandemic. Methods: This paper explains the data analysis and visualization of the coronavirus pandemic. The data is analyzed and visualized by using Python programming language. Case Study: Three case studies with the original dataset are shown in this paper, which is useful for the researcher to analyze the COVID-19 pandemic further. Conclusion: This data analysis result proves the lower Standard Deviation in India and the USA, which shows that data is aggregated close to mean value, which shows that data is reliable and uses further research

Covid-19 Data analysis Data visualization Pandemic Standard Deviation Python