Visualizing the number of COVID-19 recovered cases with Plotly
I would like to see: The evolution over time of the number of cases/deaths/recovery patients per country. Assuming that others are also interested in this information, I am sharing the plots I made with plotly.
The Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) maintain a GitHub repository with daily updated information about the Corona Virus. They also provide a dashboard to interact with the data (however, even their dashboard doesn’t provide the plot I was looking for).
You are more than welcome to modify the notebook to predict the number of cases and do other types of analysis. The notebook can be found in my GitHub repository.
The data is split into three plots:
Bellow, you can see the data for all the recovered cases (total and per day).
NOTE: Starting from 25/03/2020, the JHU CSSE is not updating the number of recovered cases anymore. Thus, the plot bellow will not be updated anymore.
You can select countries to compare the data. If you are having problems to visualise the plot, you can try the clean html version from this link
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