### 1.1 Business Data Landscape This dataset represents passenger manifest and outcome data from the RMS Titanic disaster, structured as a single comprehensive dimension table. The **titanic** table captures 891 individual passenger records, combining demographic attributes, ticketing information, cabin assignments, and survival outcomes in one unified view. This is a historical research dataset rather than an operational business system, designed to support analysis of survival patterns, passenger demographics, and voyage logistics. The single-table architecture reflects a snapshot analytical use case where all relevant passenger attributes have been denormalized into one queryable asset. ### 1.2 Key Data Assets | Table | Role | Rows | % of Total | Size | |-------|------|-----:|----------:|-----:| | titanic | dimension | 891 | 100.0% | 0.2 MB | The **titanic** table constitutes the entire dataset, holding all 891 passenger records in a 0.2 MB footprint. This table serves as both the analytical foundation and the complete data inventory, containing every attribute needed to examine passenger characteristics, fare structures, embarkation patterns, and survival outcomes without requiring joins or cross-table navigation. ### 1.3 Data Integration Posture With zero inter-table relationships detected, this dataset operates as a self-contained analytical unit rather than an integrated data ecosystem. The absence of foreign keys or related tables means all analysis occurs within a single namespace, eliminating join complexity but also limiting the ability to enrich passenger records with external reference data such as crew manifests, voyage itineraries, or port-of-call details. For business users, this translates to straightforward querying and rapid insight generation within the existing attribute set, but any expansion of analytical scope—such as linking to historical voyage economics, ship specifications, or contemporary passenger travel patterns—will require deliberate schema evolution and external data integration rather than leveraging pre-existing relationships.