https://github.com/aatishb/covidtrends

Tracking the growth of COVID-19 Cases worldwide
https://github.com/aatishb/covidtrends

covid covid-19 covidtrends dataviz plotly vue

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Tracking the growth of COVID-19 Cases worldwide

• Host: GitHub
• URL: https://github.com/aatishb/covidtrends
• Owner: aatishb
• License: mit
• Created: 2020-03-20T23:07:53.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-03-26T15:21:32.000Z (over 2 years ago)
• Last Synced: 2024-08-01T22:45:48.635Z (3 months ago)
• Topics: covid, covid-19, covidtrends, dataviz, plotly, vue
• Language: JavaScript
• Homepage: https://aatishb.com/covidtrends/
• Size: 2.81 MB
• Stars: 302
• Watchers: 12
• Forks: 107
• Open Issues: 100
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE.txt
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
## What is this?

[![All Contributors](https://img.shields.io/badge/all_contributors-25-orange.svg?style=flat-square)](#contributors-)

This is an [interactive graph / animation](https://aatishb.com/covidtrends/) that charts the trajectory of global COVID-19 cases.

The graph plots the number of new confirmed cases in the past week, versus the total number of confirmed cases.

When plotted in this way, exponential growth is displayed as a straight line.

Notice that most countries follow a similar straight line path, indicating that the growth rate is similar across countries. We're all in this together.

**Tips:** Press Space (or the play button) to Play/Pause. Press +/- keys (or the slider) to see daily changes. Hover over the graph for more info. Drag cursor to zoom into graph, double-click to zoom back out. Use dropdown menus to switch between Confirmed Cases ↔ Deaths, between regions, or between a logarithmic ↔ linear scale. And don't forget to wash your hands!

## Credits

This interactive pulls data on COVID-19 provided by [Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and NYTimes. Huge thanks to them for making this invaluable data source publicly available.

Created by [Aatish Bhatia](https://aatishb.com/) in collaboration with [Henry Reich](https://www.youtube.com/user/minutephysics).

Created using [Plotly.js](https://plot.ly/javascript/) and [Vue.js](https://vuejs.org/)

## Contributors ✨

Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)):

  

    
Aatish Bhatia
💻 🚧

    
Mustafa "Moose" Paksoy
🚧

    
Henry Reich
🤔

    
Patrick Plenefisch
💻

    
Ed S
💻 🔧

    
exclipy
💻

    
S Aufrecht
📖

  

  

    
Nick Young
💻

    
Thea Lanherne
🐛

    
Arjo Chakravarty
💻

    
Lucy Xu
💬

    
Ben Darfler
💻

    
Waldir Pimenta
👀

    
Nikita Kniazev
🎨

  

  

    
Henry
🖋

    
Ralf Koller
💻 👀 ️️️️♿️

    
Joachim Neumann
🐛

    
Arkarup Banerjee
🤔

    
Ann Bybee-Finley
🤔

    
Connie Sun
🎨

    
Upasana Roy
🤔 🎨

  

  

    
archiewood
🤔

    
Reagan Chandramohan
🐛

    
CharsiBabu
💻

    
Ricardo Gonçalves
💻

    
Berkeley Churchill
💻

  

This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

Special thanks to Ritwick Ghosh, Nicky Case, Shekhar Bhatia, and Igor Kholopov for their very helpful feedback & suggestions!

## Participate and Contribute

If you would like to participate or contribute, please read our [Contributor's Guide](CONTRIBUTING.md) and [Code of Conduct](CODE_OF_CONDUCT.md).

## License

Code in this repository which is not otherwise licensed is licensed under the MIT License; see [LICENSE.txt](LICENSE.txt) for complete text.

This repository pulls data from [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and [New York Times Coronavirus (Covid-19) Data in the United States](https://github.com/nytimes/covid-19-data#license-and-attribution). Please consult these repositories for terms of use on the data.