harvard-art-museum-etl-pipeline
OfficialBuild and deploy an ETL pipeline with Harvard Art Museum API data analysis and visualization
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides an ETL (extract, transform, load) pipeline solution that helps in fetching, cleaning, and visualizing data from the Harvard Art Museums API, catering to those looking for automated and streamlined access to art collection and analysis capabilities.
Core Features & Use Cases
- ETL Process Automation: Automates data retrieval, transformation, and storage of art collection metadata, media files, and color attributes.
- Data Visualization: Creates interactive visualizations and analytics dashboards to understand and showcase art dataset insights.
- Use Case: For a cultural heritage manager or an artist seeking detailed analysis and insights on museum art data without manually coding data processing pipelines.
Quick Start
Run the provided Python scripts to install and initialize the data engineering workflow for Harvard Art Museums.
Dependency Matrix
Required Modules
requestsmysql-connector-pythonpandas
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-etl-pipeline Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museum-etl-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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