Turn museum collection data into an analytics dashboard.
Builds a museum-data pipeline that extracts collection records, normalizes them into SQL tables, and presents analytics in an interactive dashboard.
When to use it
Use when building ETL pipelines, relational databases, SQL analytics, or dashboards for Harvard Art Museums collection data.
Ask for a museum-data engineering application; it helps build the pipeline from API extraction through visualization.
Requires Python to run the extraction, transformation, database-loading, and dashboard code; no runtime version is specified.
Requires streamlit for the dashboard.
This skill
MySQL
Loads museum records into MySQL
Harvard Art Museums API
Fetches museum collection records