Throughout history, the world has faced various crises and pandemics, but the resilience and innovation of humanity, along with their ability to think creatively and unconventionally, have helped them to overcome these challenges. Currently, the world is grappling with the COVID-19 pandemic, caused by a deadly new coronavirus that originated in Wuhan, China and has since spread globally, infecting millions of people. However, difficult times require stringent measures and innovative solutions. As such, the purpose of this research is to analyze COVID-19 data using visualization techniques to map and compare the outbreak in different continents and territories such as the USA, China, India, Italy, and Taiwan. This analysis utilizes metrics such as the total number of confirmed cases, casualties, and recoveries for each region, and employs data visualization to aid in comparison. Ultimately, this research aims to provide a comprehensive understanding of the impact of COVID-19 across the globe through the use of Data Visualization and Machine Learning.

Matplotlib, machine learning, random forest, data visualization, python