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๐Ÿš€ Data Analysis Playground using Streamlit

Welcome to the Data Analysis Playground! ๐Ÿ“Š Users can upload various data file formats (CSV, Excel, SQL, etc.), import libraries, and write Python scripts to manipulate and visualize the loaded data. The app provides an interactive environment for exploring and analyzing datasets, making it a handy tool for data enthusiasts and analysts.

Key Features:

  • ๐Ÿ“ File upload for CSV, Excel, SQL, etc.
  • ๐Ÿ“Š Dynamic library import (pandas, matplotlib, seaborn, numpy).
  • ๐Ÿ’ป Interactive code editor for Python scripts.
  • โšก Real-time execution and display of code output.

Usage:

  1. Upload your dataset.
  2. Choose libraries to import.
  3. Write Python scripts in the code editor.
  4. Click "Run" to execute the script and view results.

Feel free to customize and extend the app to suit your unique data analysis needs! ๐Ÿ› ๏ธ


Getting Started

To run the app locally:

  1. Clone the repository:

    git clone https://github.com/your-username/your-repo.git
    
  2. Install the required dependencies:

    pip install -r requirements.txt
    
  3. Run the app:

    streamlit run app.py
    

Contributing

Contributions are always welcomed! If you'd like to enhance or fix something, feel free to open an issue or submit a pull request.

Happy coding! ๐ŸŽ‰

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