harvard-art-museum-etl-analytics
OfficialCreate ETL pipelines for Harvard Art Museums data analysis.
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates end-to-end data engineering pipelines for analyzing Harvard Art Museums data, streamlining the process of data extraction, transformation, and visualization.
Core Features & Use Cases
- ETL Pipeline Creation: Build ETL pipelines to extract data from the Harvard Art Museums API, transform it into relational databases, and load it for analysis.
- Data Analytics: Perform SQL analytics on the extracted data, including queries on culture, century, media, colors, and departments.
- Visualization: Generate interactive visualizations and dashboards using Streamlit for data exploration.
- Use Case: For a museum curator, this Skill could be used to analyze the collection's color distribution, media usage, or artifact distribution by culture over time.
Quick Start
To get started, run the ETL pipeline with the provided script and connect your database.
Dependency Matrix
Required Modules
pandasrequestsmysql-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-etl-analytics Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museum-etl-analytics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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