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Clone the repository:\n   ```bash\n   git clone https://github.com/Future-Rafay/Data-Management-App-Python-Streamlit.git\n   cd data-management-pro\n   ```\n2. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Run the app:\n   ```bash\n   streamlit run app.py\n   ```\n4. Open your browser and go to:\n   ```\n   http://localhost:8501\n   ```\n\n## 🖥️ Usage\n\n### Upload Data:\nChoose a CSV/Excel file or use the sample dataset.\n\n### Clean Data:\nRemove duplicates, handle missing values, and rename/delete columns.\n\n### Edit Data:\nUse the interactive editor to modify data directly.\n\n### Visualize Data:\nCreate charts with customizable axes and styles.\n\n### Export Data:\nSave your cleaned data in CSV, Excel, or JSON format.\n\n---\n\n## 🐂 File Structure\n```\ndata-management-pro/\n├── app.py                # Main application code\n├── requirements.txt      # Python dependencies\n├── README.md             # Project documentation\n\n```\n\n---\n\n## 🌐 Deployment\n\n### Streamlit Sharing (Recommended)\n1. Fork this repository\n2. Go to Streamlit Sharing\n3. Connect your GitHub account and deploy the app\n\n\n## 👨‍💻 Author\n**Rafay Nadeem**  \nGitHub: [@Future-Rafay](https://github.com/Future-Rafay)  \nLinkedIn: [@Rafay Nadeem](https://www.linkedin.com/in/rafay-nadeem-web-developer/)\n\n---\n\n✨ Made with ❤️ and Python  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffuture-rafay%2Fdata-management-app-python-streamlit","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffuture-rafay%2Fdata-management-app-python-streamlit","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffuture-rafay%2Fdata-management-app-python-streamlit/lists"}