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This project is a collection of automatically prepared COVID-19 datasets.

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COVID-19-Bulgaria/covid-database

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Contributors Forks Stargazers Issues License: CC BY-NC-SA 4.0


COVID-19 Database

Collection of automatically prepared COVID-19 datasets.
Live Demo

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Table of Contents

About The Project

This project is a collection of automatically prepared COVID-19 datasets. Currently there are datasets only for Bulgaria, but soon datasets for other countries will be added as well.

Getting Started

To get a local copy follow these simple example steps.

Installation

  1. Clone the repo
git clone https://github.com/COVID-19-Bulgaria/covid-database.git
  1. Use the data as you wish

Usage

For each country the following datasets might be available:

  • TotalsDataset.json - includes the latest known information about the infected, cured, fatal totals in the specified country
  • DateCasesDataset.json - includes historical data about how the infected, cured, fatal cases were changing for each date since the beginning of the disease in the specified country
  • DateDiffCasesDataset.json - includes historical data about the delta infected, cured, fatal cases for each date since the beginning of the disease in the specified country
  • GeoDataset.json - includes infected, cured, fatal totals and coordinates per geographic location for the specified country

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Creative Commons License Project is distributed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Contact

Veselin Stoyanov: LinkedIn