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https://github.com/prime-infinity/type-one

Software to visualize and analyze GitHub repos based on certain statistics such as stars, forks and issues
https://github.com/prime-infinity/type-one

data-analysis data-visualization

Last synced: 2 months ago
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Software to visualize and analyze GitHub repos based on certain statistics such as stars, forks and issues

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# Type One - GitHub Ranking Visualization

Type One is a web application that visualizes GitHub repository statistics using an interactive bubble chart. The chart provides an engaging way to explore and compare GitHub repositories based on various metrics such as stars, forks, and programming languages.

## Features

- Interactive bubble chart representation of GitHub repositories.
- Filter repositories by different metrics such as stars and forks.
- Adjustable item count to customize the number of repositories displayed.
- Color-coded bubbles based on the programming language.
- Responsive design for seamless viewing across different devices.

## Technologies Used

- [D3.js](https://d3js.org/) for data visualization.
- HTML, CSS, and JavaScript for the frontend.
- Node.js and D3-fetch for data loading and manipulation.

## See Type One in Action

Visit the [Type One Website](https://type-one.netlify.app/) to explore the GitHub repository statistics visualization in practice.

## Run locally

- Clone the project and run `npm install` to add packages.

```js
git clone https://github.com/prime-infinity/type-one.git

cd type-one.git

//Install dependencies
npm install

//Start development server
npm run dev

```

## Contributing

Contributions are welcome! If you find a bug or have an enhancement idea, please open an issue or submit a pull request. Make sure to follow the [Contributing Guidelines](CONTRIBUTING.md) before making a contribution.

## License

This project is licensed under the [MIT License](LICENSE).

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Feel free to contact me at my email address in my github profile for any questions or feedback. We hope you enjoy using Type One to explore GitHub repository stats in a visually engaging way!