Source: This exploratory analysis originated from a DataCamp project.


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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