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Simply upload your file and get instant insights without needing any setup or coding. 🚀\n\n---\n\n## Features ✨\n\n- **Dataset Overview** 🗂️: Get a quick summary of your dataset's dimensions (rows and columns).\n- **Data Preview** 🔍: View the first 10 rows of your data.\n- **Column Details** 🧠: See information about all columns, including data types and null values.\n\n---\n\n## Usage 🛠️\n\nTo use the **What's in my CSV?** Streamlit app, follow these steps:\n\n1. **Clone the Repository** 📥:\n    ```bash\n    git clone https://github.com/aditi-manthri/whatsinmycsv.git\n    cd whatsinmycsv\n    ```\n\n2. **Set Up a Virtual Environment** 🌱 (Optional but Recommended):\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n    ```\n\n3. **Install Required Packages** 📦:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. **Run the Streamlit App** 🚀:\n    ```bash\n    streamlit run streamlit_app.py\n    ```\n\n5. **Access the App** 🌐:\n    Open your web browser and go to [http://localhost:8501](http://localhost:8501).\n\n---\n\n## Contributing 💡\n\nWe welcome contributions! If you have any suggestions or improvements, feel free to open an issue or submit a pull request. 🤝\n\n---\n\n## License 📜\n\nThis project is licensed under the **MIT License**.\n\n---\n\n### 🌟 **Enjoy Exploring Your CSV Files!** 🌟\n\nHappy analyzing! ✨📊\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhecatops%2Finsightbench","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhecatops%2Finsightbench","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhecatops%2Finsightbench/lists"}