An advanced, interactive Business Intelligence (BI) engine designed to visualize global transformation through the lens of wealth, health, and population dynamics. This project leverages real-world data from the Gapminder Foundation to provide executive-level insights into market scalability and economic longevity.
- Dynamic Intelligence Filters: Multi-regional and temporal selection (1952–2026) for granular trend analysis.
- Innovation Velocity Engine: A 4D Bubble Chart visualizing the correlation between GDP Per Capita and Life Expectancy.
- Hierarchical Regional Concentration: Sunburst visualizations detailing economic density by continent and country.
- Statistical Deep-Dives: Automated correlation heatmaps and temporal spline-interpolated line charts.
- Automated Narrative Generation: Real-time business insights generated based on filtered data parameters.
- Frontend: Streamlit (Custom CSS/Glassmorphism UI)
- Data Processing: Pandas (Feature Engineering & Z-Score Anomaly Detection)
- Visuals: Plotly Express & Graph Objects (Interactive SVG/HTML exports)
- Architecture: Cached Data Ingestion Pipeline (
@st.cache_data) for high-speed performance.
"Raw data was ingested via a secure SSL-verified endpoint. Feature engineering was applied to calculate
Aggregate GDP($GDP \times Population$ ) andGrowth Multipliersto normalize skewed economic distributions."
├── app.py # Main Streamlit application
├── requirements.txt # Production dependencies
├── global_data.csv # Local backup of the Gapminder dataset
└── README.md # Technical documentation