Turn museum collection records into interactive analytics.
Builds a museum-data ETL and analytics application that collects Harvard Art Museums records, stores them in relational tables, and presents interactive dashboards.
When to use it
Use when building museum-data ETL pipelines, collecting Harvard Art Museums API data, or creating SQL analytics and Streamlit visualizations.
Ask for a museum-data analytics application; it provides project code for API extraction, relational storage, SQL analysis, and interactive dashboards.
Requires Python to run the ETL and application code; no runtime version is specified.
Requires an accessible MySQL database server configured through DB_HOST, DB_PORT, DB_USER, and DB_PASSWORD.
This skill
MySQL
Loads records into MySQL (irreversible)
Harvard Art Museums API
Fetches museum collection records