COVID19---Analysis-Interactive-Visualizations-and-Prediction

This repository contains codes for a case study, analysis, and prediction of COVDI19 cases and its spread across the Globe.

Feel free to contribute to the notebook or to share feedback/suggestion.

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Features

• Several interative visulization showing the spread of COVID19 cases across the Globe
• Comparision between some of the top countries in terms of no. of cases
• Visualizations showing relationship between important metrics like mortality rate, etc

Dataset

The dataset is provided by COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University

Working data includes below time-series dataset:

• time_series_covid19_confirmed_global
• time_series_covid19_deaths_global
• time_series_covid19_recovered_global
• csse_covid_19_daily_reports
• csse_covid_19_daily_reports_us

Accessign this repository

• To clone this repository:

git clone https://github.com/Surajkumar88/COVID19---Analysis-Interactive-Visualizations-and-Prediction

or

• use the Download ZIP option to download the files nad extract it,
  and run in Jupyter Notebooks.

Some of the visualization

• Basic Statistics of COVID19
• Treemap of Countries
• Statistics by Country

Authors

• Suraj Kumar

License

This repository has MIT License, see the license file here.