This interactive Power BI dashboard provides a deep dive into the factors influencing passenger survival rates on the Titanic. By leveraging advanced DAX formulas and clean data modeling, the project transforms historical data into actionable insights.
Key Features:
Demographic Analysis: Visualized survival rates by passenger class, gender, and age groups.
Interactive Exploration: Implemented drill-through pages and filters allowing users to explore specific passenger segments.
Data-Driven Storytelling: Clear visuals highlight the strong correlation between socio-economic status (class) and the likelihood of survival.
Enterprise Readiness: Published to the Power BI Service with Row-Level Security (RLS) for secure, collaborative viewing.
This project demonstrates skills in data analysis, DAX, and building user-centric business intelligence solutions.