harvard-art-museum-data-engineering
OfficialAutomate ETL and analytics for Harvard Art Museums data
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the Extract, Transform, Load (ETL) process and provides analytics for the Harvard Art Museums API, streamlining data engineering tasks.
Core Features & Use Cases
- ETL Pipeline: Extracts artifact data from the API, transforms it into relational tables, and loads it into SQL databases.
- Analytics Dashboard: Offers interactive analytics dashboards using Streamlit for data visualization.
- Use Case: Ideal for data engineers and analysts looking to automate the processing of museum collection data and create insightful visualizations.
Quick Start
Use the harvard-art-museum-data-engineering skill to load and analyze the museum artifact data from the Harvard Art Museums API.
Dependency Matrix
Required Modules
streamlitpandasrequestsmysql-connector-pythonplotlypython-dotenv
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-art-museum-data-engineering Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museum-data-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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