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A Python-based chatbot application designed to empower users with seamless data analysis and visualization capabilities using Matplotlib. Built upon the robust LangChain framework, ChatPlotLib simplifies the process of exploring and interpreting datasets by generating Matplotlib code snippets directly from user interactions.

License: MIT License

Python 100.00%

chatplotlib's Introduction

ChatPlotLib ๐Ÿš€๐Ÿค–

ChatPlotLib is a Python-based chatbot application designed to assist users with data analysis and visualization using data visualisation libraries. It integrates with LangChain as well as ChainLit and allows users to interactively request code snippets for generating various types of plots based on their dataset.

Features

  • Interactive Data Analysis: Users can upload CSV or Excel files to analyze and visualize data without writing code.

  • Matplotlib and Seaborn Integration: Generates Matplotlib/Seaborn code snippets for common data visualizations such as histograms, scatter plots, and line charts.

  • Educational Tool: Provides explanations alongside code snippets, helping users understand the insights gained from visualizations.

Usage

  1. Installation:

    • Clone the repository:
      git clone https://github.com/smruthi-sumanth/ChatPlotLib.git
      cd ChatPlotLib
    • Install dependencies:
      pip install -r requirements.txt
  2. Running the Application:

    • Start the application:
      python app.py
    • Open your web browser and navigate to http://localhost:8000 to access ChatPlotLib.
  3. Using ChatPlotLib:

    • Upload your dataset (CSV or Excel) to begin.
    • Interact with the chatbot to request data insights, visualization code, or analysis suggestions.
    • Code snippets for Matplotlib visualizations will be provided with explanations on their significance.

Contributing

Contributions are welcome! Fork the repository, make your changes, and submit a pull request. Please adhere to the existing code style and documentation format.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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