The Coronavirus Disease (COVID-19) pandemic took the world by surprise and, despite the advances we have made in dealing with the virus, we still have a lot to learn. However, since last year, the world has produced countless data that can help us understand what is happening and why.

This study aims to apply Data Science techniques to understand the different mortality rates caused by COVID-19 at a global level, based on the five aspects that may affect its lethality: economy, corruption, education, health, and government regime.

By Juliano Oliveira (2021)