A Study of before and after Lockdown Situation of 10 Countries through Visualization of Data along With Entropy Analysis of Top Three Countries
Abstract
Since Dec 2019 the world is facing anepidemic caused by a new coronavirus termedas severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease related with this virus is familiar as COVID-19. The COVID-19 virulent virus was position reportable in City, China and so far exhausted on to move to many than 50 countries across the orb. WHO declared COVID-19 as a pandemic on 11th Genre 2020 and there has been travel cases of contagion of the virus. This paper emphases on COVID-19 based on freelyaccessible datasets including the ones in Kaggle repository. In thisstudy visualization of the confirmed, active and recoveredcases of 10 countries is taken in consideration along with before and after lockdown period upto 12 August, 2020.Finally,Shannon’s entropy is used for analyzing the confirmed cases of top 3 countries through visualization of data upto the period of consideration of data.
