Turn museum collections into interactive analytics.
Builds museum-data ETL pipelines and interactive analytics dashboards with relational storage and visualizations.
When to use it
Use when building an ETL pipeline, database, or analytics dashboard for Harvard museum collection data.
Give it a request for museum-data analytics; it builds an ETL pipeline, SQL tables, analytical queries, and a Streamlit dashboard.
Requires Python 3.8 or newer.
Requires a MySQL or TiDB Cloud database.
This skill
MySQL or TiDB Cloud
Loads and updates database records (irreversible)
Harvard Art Museums API
Fetches museum artifact data