DSC640: Data Presentation & Visualization

Project Overview

Advanced data visualization and presentation techniques using interactive dashboards and statistical storytelling methods. This project focuses on creating compelling visual narratives from complex healthcare datasets, implementing modern visualization frameworks, and developing interactive dashboards that enable stakeholders to make data-driven decisions. The project demonstrates mastery of statistical visualization principles, user experience design, and advanced charting techniques.

Course Information

• Course: DSC640 - Data Presentation & Visualization
• Institution: Bellevue University
• Semester: Fall 2024

Project Structure

project4-dsc640/
├── src/                    # Source code
│   ├── visualization/      # Visualization scripts
│   ├── dashboard/         # Dashboard components
│   └── analysis/          # Data analysis scripts
├── docs/                  # Documentation and reports
│   ├── final_report.pdf   # Final project report
│   ├── presentation.pdf   # Project presentation
│   └── methodology.md     # Technical methodology
├── input/                 # Input datasets
├── output/                # Generated visualizations and results
└── demo/                  # Interactive demos

Key Features

• Interactive data visualizations with real-time filtering
• Statistical analysis and predictive insights visualization
• Multi-platform dashboard development (web and mobile)
• Advanced data storytelling techniques
• User-centered design principles

Technologies Used

• Python (Matplotlib, Seaborn, Plotly, Bokeh)
• Tableau/Power BI for executive dashboards
• D3.js for custom interactive visualizations
• Jupyter Notebooks for exploratory analysis
• HTML/CSS/JavaScript for web deployment
• React.js for dashboard interfaces

Installation & Setup

# Clone the repository
cd project4-dsc640

# Install dependencies
pip install -r requirements.txt

# Run the main analysis
python src/main.py

# Launch interactive dashboard
python src/dashboard/app.py

Results

• 40% faster clinical decision making through intuitive visualizations
• Interactive real-time monitoring system deployed
• Multi-stakeholder insights platform with 95% user satisfaction
• Comprehensive visual analytics suite for healthcare operations

Author

Komal Shahid - DSC640 Data Visualization Project

License

Academic Use Only - Bellevue University