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https://github.com/debjyotisaha/web-application-projects-streamlit-phase-2

This repository showcases interactive web applications built using the Streamlit framework.
https://github.com/debjyotisaha/web-application-projects-streamlit-phase-2

dashboard data-visualization python streamlit

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This repository showcases interactive web applications built using the Streamlit framework.

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# Web Application Projects - Streamlit Phase 2

This repository contains web application projects built using [Streamlit](https://streamlit.io/), a Python-based framework for creating interactive web applications. These projects demonstrate various use cases and visualizations, showcasing the power and simplicity of Streamlit.

## 📂 Repository Structure

- **`Adidas Interactive Dashboard`**: A Streamlit-based web application offering an interactive dashboard to visualize Adidas-related data. This app highlights advanced data visualization techniques and an intuitive UI.
- **`Superstore Sales Dashboard`**: The Superstore Sales Dashboard is an interactive and user-friendly web application developed using Streamlit.
It provides a comprehensive visualization of sales data, enabling users to analyze sales across various dimensions such as regions, states, categories, and time.

## 🚀 Features

- Interactive dashboards and visualizations.
- Data-driven applications built with simplicity and scalability in mind.
- Clean and modular code for easy understanding and contribution.

## 🛠️ Technology Stack

- **Framework**: [Streamlit](https://streamlit.io/)
- **Programming Language**: Python
- **Visualization**: Matplotlib, Plotly, and other Python libraries (where applicable).

## 📦 Installation

1. Clone this repository:
```bash
git clone https://github.com/DebjyotiSaha/Web-Application-Projects-Streamlit-Phase-2.git
```
2. Navigate to the project directory:
```bash
cd Web-Application-Projects-Streamlit-Phase-2
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Streamlit app:
```bash
streamlit run app.py
```

## 🧑‍💻 Usage

Explore the dashboards and interact with the features to analyze the datasets dynamically. Each project folder includes details about its functionality.

## 📄 License

This repository is open-source under the [MIT License](LICENSE).

## 🤝 Contributions

Contributions, bug reports, and feature requests are welcome! Feel free to fork this repository and submit a pull request.

## 💬 Contact

For questions or feedback, open an issue in the repository or reach out to the maintainer through GitHub.