{"id":26183026,"url":"https://github.com/abdurrehman2003/data-sweeper","last_synced_at":"2026-06-07T14:31:02.658Z","repository":{"id":279019368,"uuid":"937494033","full_name":"Abdurrehman2003/data-sweeper","owner":"Abdurrehman2003","description":"Data Sweeper: A Streamlit web app for quick CSV/Excel conversions, data cleaning, and simple 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Data Sweeper\n\nData Sweeper is a Streamlit web application that allows you to:\n\n* **Transform files:** Convert between CSV and Excel formats.\n* **Clean data:** Remove duplicates and fill missing values.\n* **Visualize data:** Generate bar charts.\n* **Select columns:** Choose specific columns to work with.\n\n## Features\n\n* **File Upload:** Upload CSV and Excel files.\n* **Data Preview:** View a preview of your data in a table.\n* **Data Cleaning:**\n    * Remove duplicate rows.\n    * Fill missing numerical values with the mean.\n* **Column Selection:** Choose specific columns for processing.\n* **Data Visualization:** Generate bar charts of numerical columns.\n* **File Conversion:** Convert files between CSV and Excel formats.\n* **Easy Download:** Download the processed files.\n\n## Usage\n\n1.  **Upload Files:** Use the sidebar to upload your CSV or Excel files.\n2.  **Data Preview:** View the data preview on the main page.\n3.  **Data Cleaning:** Check the \"Clean Data\" box and use the buttons to remove duplicates or fill missing values.\n4.  **Column Selection:** Select the columns you want to keep.\n5.  **Data Visualization:** Check the \"Show Bar Chart\" box to generate a bar chart.\n6.  **File Conversion:** Choose the desired output format (CSV or Excel) and click \"Convert.\"\n7.  **Download:** Click the \"Download\" button to save the converted file.\n\n## Installation\n\n1.  **Clone the Repository:**\n\n    ```bash\n    git clone [https://github.com/Abdurrehman2003/data-sweeper.git](https://github.com/Abdurrehman2003/data-sweeper.git)\n    cd data-sweeper\n    ```\n\n2.  **Create a Virtual Environment (Recommended):**\n\n    ```bash\n    python -m venv venv\n    ```\n\n3.  **Activate the Virtual Environment:**\n\n    * **Windows:**\n\n        ```bash\n        venv\\Scripts\\activate\n        ```\n\n    * **macOS/Linux:**\n\n        ```bash\n        source venv/bin/activate\n        ```\n\n4.  **Install Dependencies:**\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n5.  **Run the App:**\n\n    ```bash\n    streamlit run app.py\n    ```\n\n## Deployment\n\nThis app can be deployed on Vercel:\n\n1.  Push your code to a GitHub repository.\n2.  Create a Vercel account.\n3.  Import your GitHub repository into Vercel.\n4.  Vercel will automatically build and deploy your app.\n\n## Contributing\n\nFeel free to contribute to this project by submitting pull requests or opening issues.\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdurrehman2003%2Fdata-sweeper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabdurrehman2003%2Fdata-sweeper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabdurrehman2003%2Fdata-sweeper/lists"}