feat: add Streamlit visualization dashboard

- Create interactive dashboard with company analysis page
- Add batch analysis with progress tracking and charts
- Include analytics page for historical data visualization
- Add system status monitoring
- Update requirements.txt with streamlit, plotly, pandas
- Document dashboard usage in README

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -17,6 +17,7 @@ SPARC automatically collects, parses, and analyzes patents from companies to pro
 - **Portfolio Analysis**: Evaluates multiple patents holistically for comprehensive insights
 - **Batch Processing**: Analyze multiple companies concurrently with progress tracking
 - **REST API**: FastAPI web service with async job support
+- **Dashboard**: Interactive Streamlit visualization dashboard
 - **Robust Testing**: 40 tests covering all major functionality
 
 ## Architecture
@@ -167,6 +168,22 @@ curl -X POST http://localhost:8000/analyze/batch/async \
   -d '{"companies": ["nvidia", "amd", "intel", "qualcomm"]}'
 ```
 
+### Visualization Dashboard
+
+Launch the interactive Streamlit dashboard:
+
+```bash
+streamlit run dashboard.py
+```
+
+Dashboard features:
+- **Company Analysis**: Analyze individual companies with real-time results
+- **Batch Analysis**: Process multiple companies with progress tracking and charts
+- **Analytics**: View historical analysis data and trends (requires database mode)
+- **System Status**: Monitor database and analyzer health
+
+The dashboard runs at `http://localhost:8501` by default.
+
 ## Running Tests
 
 ```bash
@@ -202,7 +219,7 @@ pytest tests/ --cov=SPARC --cov-report=term-missing
 - [X] FastAPI web service wrapper
 - [X] Docker containerization
 - [X] Results persistence (database)
-- [ ] Visualization dashboard
+- [X] Visualization dashboard
 
 ## Development