COVID-19 Economics

At UofT, our first introduction to computer science course (CSC110) required us to use what we've learned to analyze one aspect of the COVID-19 pandemic, and answer a question (in partners). And so we asked:

To what degree do changes in COVID-19 case numbers in Canada, the United States and China correlate to changes in the Canadian and American economy as measured by change in stock indices?

To answer this question we performed what we deemed 'local' and 'global' analyses on freely available stock and COVID-19 case data. In performing, and visualizing this analysis we had to invoke the Pandas, Plotly, and the Dash Python libraries.

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