Covid-19 changed the world, especially the US. It affected lives, economy and our future. I wanted to gain insights on the situation of the disease from different states

What it does

My project provides analysis of metrics like confirmed cases, active cases, deaths and recovered cases, hospitalization rate in different regions of the United States for gaining insights, extract trends and patterns as well as forecast confirmed cases in the near future

How I built it

I used the John Hopkins dataset as well as the population dataset. My major tools were IPython Notebook and Python libraries like Plotly( for visualization), pandas, prophet(for forecasting).

Challenges I ran into

One of the difficulties was less data. More data would have helped me gain more insights

Accomplishments that I'm proud of

I was able to complete it before time. Came up with region analysis on the US data.

What I learned

I learnt more about time series data and the usage of fbprophet as well as the way it computes trends and seasonality.

What's next for Covid-19 Analysis 2020

On more data gathering and processing, Covid-19 Analysis 2020 can be used in newspapers, magazines and blogs

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