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1. numpy
2. pandas to make Dataframes
3. Matplotlib & Plotly for visualizations

How to install the Libraries ?pip install pandasconda install pandaspip install numpyconda install numpypip install matplotlibconda install matplotlibpip install plotlycpnda install plotly

Dataset i used was a much bigger dataset with lots of columns that i didn't need so i used pandas to mainapulate, clean and updating it.

I made my new dataset you can check it in the link belowhttps://www.kaggle.com/mohamedhanyyy/covid19-worldspreading

I wanted to Collect all the Covid-19 cases all over the world and make analysis on itData is simple but can bring a lot of insights

Data is classified into 4 columns(Country/Region', 'Confirmed', 'Country Abbr 2', 'Country Abbr 3)

1. Country/Region contain all world Countries
2. Confirmed contain all confirmed Covid-19 cases
3. Country Abbr 2 contain every country with the abbreviation of 2 letter
4. Country Abbr 3 contain every country with the abbreviation of 3 letter

matplotlib & plotly support many graphsWorld map (choropleth) made it easy to understand the spreading analysis of covid-19

Understanding how covid-19 affected countries all over the world by some easy analysis