COVID-19 is a pandemic which slowed all the daily process that happens in the world except its spread rate. The pandemic is considered to be the biggest disaster of the century and eventually will go into history for questioning the development and inventions made in the health sector. Where it took many months to invent the vaccine which enhance the immune system in the fight against COVID-19. So the analysis of the widespread disease throughout the world is an important thing to do with its spatial representation.
To analyze the spread of COVID-19 and visualize it graphically. 1. To estimate the infection rate and the effects from the period of pre-COVID to post-COVID. 2. To visualize the spread graphically and geospatially.
COVID-19 spread datasets are downloaded from the Kaggle. The dataset is segregated into rows and columns. Where the datasets are divided by the basis of country/region, latitude, longitude, infection rate, dates, etc...
The COVID-19 infection rates for countries like India, France, the United Kingdom, and Canada are shown in the plot.