A Flask web application for visualizing Australian cancer incidence and mortality data with interactive maps, charts, and analytics.

• Interactive Dashboard - Choropleth maps, time series charts, and heatmaps
• Advanced Analytics - Trend analysis, outlier detection, and correlations
• RESTful API - JSON endpoints for data access
• Responsive Design - Works on all devices

1. Install Dependencies

   pip install -r requirements.txt

2. Setup Environment

   cp .env.example .env
   # Edit .env with your database credentials

3. Run Application

   python main.py

4. Access Dashboard

   • Main Dashboard: http://localhost:5000
   • Analytics: http://localhost:5000/analytics
   • API Health: http://localhost:5000/api/health

DB_HOST=your-database-host
DB_USER=your-username
DB_PASSWORD=your-password
DB_NAME=your-database-name

• GET /api/data - Cancer data with filters
• GET /api/states - List of states
• GET /api/analytics/trends - Trend analysis
• GET /api/analytics/outliers - Outlier detection

• Backend: Flask, PostgreSQL, Pandas
• Frontend: Bootstrap, Plotly, Folium
• Analytics: NumPy, Statistical analysis