Turn museum records into a pipeline and dashboard.
Builds an artifact-data pipeline and dashboard that collect museum records, normalize them into database tables, and visualize analytical results.
When to use it
Use when building an ETL workflow, database schema, or analytics dashboard for Harvard Art Museums data.
Give it a request for a museum-data pipeline or dashboard; it builds Python ETL code, relational tables, SQL analytics, and a Streamlit application.
Requires Python 3.8 or later.
Requires a MySQL account for the MySQL database path; the prerequisites offer a TiDB Cloud account as an alternative.
This skill
MySQL
Loads artifacts into MySQL
Harvard Art Museums API
Fetches museum artifact records