Covid-19 Visualization

Name: A.Yee

Legend: shown in the graph

Modeling Technique: Regression in Tableau and Time Series Bar Graph in Python

Data Source: https://github.com/nytimes/covid-19-data

Last Updated: April 1st, 2020

The question that I am trying to answer is to figure out how quickly can the virus grow over time. This question is important because if we can figure how much it can grow within a few days, we can easily figure out a way to control the growth of the virus for the next following weeks. As you can see from the tableau dashboard, it made a prediction that there will be more cases and more deaths. This can help the city and the people to understand how to quickly protect themselves even more in order to control it. In the Python graphs, I made a comparison between the deaths and the cases, you can see that there are less death. It can help people to understand that even though there may be less death than confirmed cases, people should still be careful with the virus due to how quickly it can spread.

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