Inspiration
Cases rising worldwide would help countries to analyze and make decisions to counter.
What it does
Analyzing world COVID data to know the most affected regions and the factors causing it. Solution: Using Exploratory Data Analysis.
How we built it
Built using tools like Jupyter Notebook, Python & different libraries.
Challenges we ran into
Analyzing the given data and plotting different graphs like TreeMaps, LinePlots, BarPlots, Pie Charts, etc.
Accomplishments that we're proud of
Working on such a big dataset.
What we learned
Data Analysis on a dataset.
What's next for COVID-19 Data Analysis Project
Automating analysis to provide entire statistics of a specified country
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