VisaFlow Analytics Dashboard

A modern, Vision UI-inspired analytics dashboard for Australian Temporary Graduate Visa (subclass 485) data visualization.

Features

• 🎨 Glassmorphism Design: Dark theme with backdrop blur effects
• 📊 Interactive Charts: Line charts, donut charts, treemap, world map, and Sankey diagrams
• 📱 Responsive Layout: Mobile-friendly with collapsible sidebar
• 🔍 Data Filtering: Year-based filtering across all visualizations
• ♿ Accessible: WCAG 2.2 compliant with proper focus indicators

Quick Start

1. Install dependencies: bash pip install flask pandas numpy openpyxl

2. Run the application: bash python app.py

3. Open your browser and navigate to: http://localhost:9000

Project Structure

├── app.py # Main Flask application ├── templates/index.html # HTML template ├── static/ │ ├── css/styles.css # Vision UI styles │ └── js/ │ ├── api.js # API communication │ ├── charts.js # Chart visualizations │ └── app.js # Main application logic └── *.xlsx # Australian visa data files

Tech Stack

• Backend: Flask, Pandas, NumPy
• Frontend: Vanilla JavaScript, D3.js, Chart.js
• Design: CSS3 with glassmorphism effects
• Data: Excel files with visa statistics

Dashboard Sections

1. Overview: Total statistics and trends over time
2. Demographics: Country breakdown and applicant analysis
   
3. Global Flow: Interactive world map visualization
4. Application Flow: Sankey diagram showing visa processing
5. Future Trends: Historical data with forecasting

📜 Acknowledgements & Credits

Data Source

• Data Provider: Department of Home Affairs, Australian Government
• Dataset: Temporary Graduate Visas (Subclass 485) - Granted and Lodged Reports
• Data Lock Date: 30 June 2025
• Citation Requirement: All publications and reports using this data must cite the Department of Home Affairs as the source

Design & Technology Credits

• Design Inspiration: Vision UI Dashboard design principles
• Visualization Libraries:
  • D3.js v7 for advanced interactive visualizations
  • Chart.js for standard chart components
  • Flatpickr for date range selection
• UI Framework: Custom CSS with glassmorphism effects and light theme
• Backend: Flask with pandas for data processing

Legal Compliance

This dashboard is built for educational and analytical purposes. Users must: 1. Cite the Department of Home Affairs as the data source in any publications 2. Comply with Australian Government data usage policies 3. Respect intellectual property rights of visualization libraries used

Open Source Libraries

• Flask: BSD-3-Clause License
• D3.js: BSD-3-Clause License
  
• Chart.js: MIT License
• Flatpickr: MIT License
• Pandas: BSD-3-Clause License
• NumPy: BSD-3-Clause License

Built with ❤️ for Australian immigration data analysis and visualization.