To help to visualize theCOVID-19 scenario across the world.

What it does

It shows us how it's spreading day by day, %increment, rate of death and positives, etc.

How I built it

I built it using Python NumPy, Matplotlib, Pandas, Seaborn, etc. libraries.

Challenges I ran into

Collecting pure dataset, exploration, and data cleaning.

Accomplishments that I'm proud of

I've completed the project successfully and received compliments from the top data scientist of SDSC.

What I learned

Python, Data Science, Data Analysis.

What's next for Pandemic COVID-19 Analysis and Visualization

It requires a continuous upgrade of datasets. I've just shown how to visualize effectively the COVID-19 datasets.

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