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Analyzing prevalent COVID-19 datasets to generate insights on the spread of COVID-19 over time using charts, graphs, time series and other tools.

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FACE-Amrita-Bengaluru/FACExIEEE-COVID-19-Data-Science-Project

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COVID 19 - Data Analytics Project

This repository is open for contributions from everyone at college, as a part of the annual Kalanjali events. Make your commits count!

Project Aim:

Analyzing prevalent COVID-19 datasets to generate insights on the spread of COVID-19 over time using charts, graphs, time series and other tools.

Author: Sree Neha M (2nd Year, CSE)

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Analyzing prevalent COVID-19 datasets to generate insights on the spread of COVID-19 over time using charts, graphs, time series and other tools.

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