Turn museum collection data into interactive insights.
Builds a museum-data pipeline and interactive dashboard that extract artifacts, organize them in relational tables, and visualize analytical queries.
When to use it
Use when building an ETL pipeline or analytics dashboard for Harvard Art Museums collection data.
Ask for a museum-data analytics application; it provides an ETL pipeline, database schema, analytical queries, and interactive dashboard implementation.
Requires Python to run the pipeline and dashboard code; no version is specified.
Uses requests to retrieve artifact data from the API.
This skill
MySQL
Loads artifacts into MySQL (irreversible)
Harvard Art Museums API
Fetches museum artifact data