README.md

metadata

title: Dash MCP Analytics
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
app_file: app.py
pinned: false
license: mit

Dash MCP - AI-Powered Data Analytics Dashboard

🤖 An interactive data analytics dashboard built with Dash and powered by AI assistance.

Features

• Interactive Data Visualization: Create various chart types (scatter, line, bar, histogram, box, heatmap, pie)
• Built-in Sample Datasets: Gapminder, Iris, Tips, Stock Data, and Wind Data
• CSV/Excel Upload: Upload and analyze your own datasets
• AI-Powered Analysis: Ask questions about your data and get intelligent responses
• Multiple Tabs: Organized interface for dataset management, AI assistant, visualizations, and data exploration

Quick Start

1. Install dependencies:

   pip install -r requirements.txt
   

2. Set up environment variables (optional for enhanced AI features):

   echo "OPENROUTER_API_KEY=your_key_here" > .env
   

3. Run the application:

   python app.py
   

4. Open your browser to http://localhost:7860

Tech Stack

• Frontend: Dash, Plotly, Bootstrap Components
• Backend: Python, Pandas, NumPy
• AI: LangChain, OpenRouter API
• Data Processing: Pandas, Plotly Express

License

MIT