harvard-artifacts-collection-data-engineering
OfficialAutomate data engineering for Harvard Art Museums, visualize museum collections.
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines data engineering processes for the Harvard Art Museums API, enabling efficient ETL, SQL analytics, and interactive visualization.
Core Features & Use Cases
- ETL Pipeline: Automates the extraction, transformation, and loading of museum artifact data into a relational database.
- SQL Analytics: Executes a suite of predefined SQL queries for detailed analysis of the collection.
- Visualization: Generates interactive dashboards to visualize museum data with Streamlit and Plotly.
- Use Case: Utilize this Skill to create a comprehensive view of the museum's collection, analyze artifact metadata, and generate insights from the data.
Quick Start
Use the harvard-artifacts-collection-data-engineering skill to build an ETL pipeline for museum artifact data.
Dependency Matrix
Required Modules
pandasrequestsmysql-connector-pythonplotlystreamlit
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: harvard-artifacts-collection-data-engineering Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-collection-data-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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