### 2.1 Integration Assessment The **titanic** table operates as a self-contained passenger manifest with 891 records and no dependencies on external tables. This flat structure captures voyage-specific attributes—passenger demographics, ticket details, cabin assignments, and survival outcomes—but lacks connections to broader maritime, geographic, or economic reference data that could contextualize the journey and passenger profiles. ### 2.2 Recommended Actions - **Link port-of-embarkation codes** to a geographic reference table containing city names, regional economic indicators, and 1912 population data to analyze boarding patterns and socioeconomic context by departure location - **Enrich fare analysis** by joining to historical currency conversion rates and cost-of-living indices, enabling comparison of ticket prices across passenger classes in modern economic terms - **Append vessel specification data** (tonnage, crew size, route history) to provide operational context for capacity utilization and safety analysis beyond passenger-level attributes - **Integrate surname genealogy datasets** to identify family groups traveling together, revealing booking patterns and survival correlations among related passengers that individual records alone cannot surface