DAT 301 proj 1

An end-to-end healthcare informatics and data engineering pipeline demonstrating how to architect, seed, and query an enterprise-level clinical reporting warehouse. This project replicates an Epic Clarity relational database architecture, mapping complex patient, provider, scheduling, and diagnostic transactional workflows. Utilizing a dual-language pipeline (SQL + R), the data engine moves from initial database normalization to high-ROI operational reporting, culminating in a publication-grade data visualization that tracks patient care-access latency.

Análisis de frecuencias de la variable cualitativa nominal "Subnational Unit (Province/State)" del dataset Global Oil and Gas Extraction Tracker (GOGET).

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