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.