数据与研究

harvard-artifacts-collection-etl-analytics

reason-machines/data-skills

Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit

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安装命令

npx skills add https://github.com/reason-machines/data-skills --skill harvard-artifacts-collection-etl-analytics

SKILL.md

Harvard Artifacts Collection ETL Analytics

Skill by ara.so — Data Skills collection.

This project provides a complete data engineering and analytics solution for the Harvard Art Museums API. It demonstrates ETL pipeline construction, relational database design, SQL analytics, and interactive visualization using Streamlit. The application extracts artifact metadata, transforms nested JSON into structured tables, loads data into SQL databases, and provides 20+ analytical queries with auto-generated visualizations.

Installation

# Clone the repository
git clone https://github.com/Manali0711/Harvard-Artifacts-Collection-Data-Engineering-Analytics-App.git
cd Harvard-Artifacts-Collection-Data-Engineering-Analytics-App

# Install dependencies
pip install -r requirements.txt

Harvard Artifacts Collection ETL Analytics

Skill by ara.so — Data Skills collection.

This project provides a complete data engineering and analytics solution for the Harvard Art Museums API. It demonstrates ETL pipeline construction, relational database design, SQL analytics, and interactive visualization using Streamlit. The application extracts artifact metadata, transforms nested JSON into structured tables, loads data into SQL databases, and provides 20+ analytical queries with auto-generated visualizations.

Installation

# Clone the repository
git clone https://github.com/Manali0711/Harvard-Artifacts-Collection-Data-Engineering-Analytics-App.git
cd Harvard-Artifacts-Collection-Data-Engineering-Analytics-App

# Install dependencies
pip install -r requirements.txt