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https://github.com/uznetdev/global-internet-users

This repository contains a project that analyzes global internet user data. The project includes scripts and tools to visualize and interpret various aspects of internet usage across the world. You can use this project with MIT license!
https://github.com/uznetdev/global-internet-users

data-science matplotlib pandas pandas-dataframe pandas-python plotly plotly-dash python python3 seabor seaborn streamlit streamlit-application streamlit-dashboard streamlit-web streamlit-webapp visualization web website

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This repository contains a project that analyzes global internet user data. The project includes scripts and tools to visualize and interpret various aspects of internet usage across the world. You can use this project with MIT license!

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# Global Internet Users

This repository contains a project that analyzes global internet user data. The project includes scripts and tools to visualize and interpret various aspects of internet usage across the world.

## Project Structure

- `app.py`: The main application file that runs the project.
- `loader.py`: A script to load and preprocess data.
- `Final.csv`: The dataset used in the project.
- `requirements.txt`: A file listing all the dependencies required to run the project.
- `pages/`: A directory containing various modules for different analyses and visualizations.
- `__init__.py`: Initialization file for the `pages` package.
- `broadband_subscription.py`: Analysis of broadband subscriptions.
- `cellular_vs_internet.py`: Comparison of cellular vs. internet users.
- `internet_users_distribution.py`: Distribution of internet users globally.
- `internet_users_map.py`: Geographical visualization of internet users.
- `internet_users_timeline.py`: Timeline analysis of internet user growth.

## Installation

1. Clone the repository:
```sh
git clone https://github.com/UznetDev/Global-Internet-users.git
```
2. Navigate to the project directory:
```sh
cd Global-Internet-users
```
3. Create a virtual environment:
```sh
python -m venv venv
```
4. Activate the virtual environment:
- On Windows:
```sh
venv\Scripts\activate
```
- On macOS and Linux:
```sh
source venv/bin/activate
```
5. Install the necessary libraries:
```sh
pip install -r requirements.txt
```

## Usage

Run the main application:
```sh
streamlit run app.py
```

#### [Adres of project](https://uznetdev-global-internet-users-app-js8fyj.streamlit.app/)

## This project uses the following technologies and libraries:
- Python
- Pandas
- Matplotlib
- Seaborn
- streamlit

## Contributing

Contributions are welcome! Please fork the repository and submit pull requests.

If you would like to contribute to the project, please follow these steps:
1. Fork the repository
2. Create a new branch (`git checkout -b feature/YourFeature`)
3. Make your changes and commit them (`git commit -m 'Add some feature'`)
4. Push the branch (`git push origin feature/YourFeature`)
5. Create a pull request

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

If you have any questions or suggestions, please contact:
- Email: uznetdev@example.com
- GitHub Issues: [Issues section](https://github.com/UznetDev/Global-Internet-users/issues)
- GitHub Profile: [UznetDev](https://github.com/UznetDev/)
- Telegram: [UZNet_Dev](https://t.me/UZNet_Dev)
- Linkedin: [Abdurahmon Niyozaliev](https://www.linkedin.com/in/abdurakhmon-niyozaliyev-%F0%9F%87%B5%F0%9F%87%B8-66545222a/)

### Thank you for your interest in the project!