harvard-artifacts-data-engineering-analytics

Official

Leverage Harvard Art Museums API to build analytics dashboards and ETL pipelines

AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill enables users to build comprehensive data engineering pipelines and interactive analytics dashboards for the Harvard Art Museums API.

Core Features & Use Cases

  • ETL Pipeline Construction: Automate the extraction, transformation, and loading of museum artifact data.
  • SQL Database Integration: Design and execute SQL queries for detailed analysis of artifact metadata.
  • Interactive Visualization: Create Streamlit-based dashboards with visualizations for easy data exploration.
  • Use Case: With this Skill, a data engineer can quickly set up a complete pipeline that fetches data from the Harvard Art Museums API, transforms it into a SQL database, and visualizes key metrics on a dashboard.

Quick Start

Clone the repository, set up the environment variables, and run the ETL pipeline using the command: pip install -r requirements.txt && ./run-etl.sh.

Dependency Matrix

Required Modules

requestspandassqlalchemystreamlit

Components

scriptsreferencesassets

💻 Claude Code Installation

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Please help me install this Skill:
Name: harvard-artifacts-data-engineering-analytics
Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-data-engineering-analytics

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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