Source: This exploratory analysis originated from a DataCamp project.
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This is a DataCamp Tutorial to study the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE and explore the data using some foundational packages in the Scientific Python Data Science stack.
In the notebook, I
- melt the data into long format,
- use Altair to make interactive plots of increasing richness
My main takeaway:
Logarithmic scale is great for plotting, but in day to day life, we live on the linear scale.
For more detail, code and interactive graphs Visit Notebook
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