Picturing the Power of Policy in a Pandemic - Python
In this project, we are interested in analyzing the efficacy of various global policy responses in reducing deaths and cases. In doing so, we hope to learn more about the interconnections between policies and their role in reducing transmission of COVID-19, and shed light on the policy response(s) that have been most effective in their respective regions. This project uses Python as well as libraries like plotly, networkx and pandas. This project is a collaborative work with Komal Saini as part of CSC111 Final Project, where we have to use graphs and graphs algorithm to represent our data.
Github Repo