laurenemilyto/pharmaceutical_web_app_etl
Extracted global pharmaceutical spending data to determine how much countries spend on off the shelf pharmaceutical medicines. Data was extracted from CSV and JSON sources, transformed using Python, Pandas and SQL. Data was then loaded into PostgreSQL. SQLAlchemy was used with Flask to deploy results to a pharmaceutical web app.
Jupyter Notebook