Turn museum collection data into interactive analytics.
Builds a museum-data ETL pipeline with relational storage, SQL analytics, and an interactive dashboard.
When to use it
Use when building an ETL pipeline, querying Harvard museum collection data, or creating a dashboard for artifact analytics.
Give it a museum-data pipeline request; it builds an ETL project with SQL analytics and a Streamlit dashboard.
Requires streamlit for the interactive dashboard.
Requires pandas for DataFrames and SQL query results.
This skill
MySQL
Inserts and updates database records (irreversible)
Harvard Art Museums API
Fetches museum artifact records