harvard-artifacts-etl-streamlit-analytics
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 ETL (Extract, Transform, Load) process and analytics for Harvard Art Museums data, enabling developers to build end-to-end data engineering and analytics applications.
Core Features & Use Cases
- ETL Pipeline: Extract data from the Harvard Art Museums API, transform it into structured SQL tables, and load it into a database.
- SQL Analytics: Pre-built analytical queries for insights on culture, century, media availability, and color patterns.
- Interactive Dashboard: Build interactive Streamlit visualizations for query results.
- Use Case: Developers can use this Skill to create a Streamlit dashboard that visualizes the number of artifacts by culture, century, and department.
Quick Start
Install the skill and run the Streamlit app to visualize Harvard museum collection data.
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-artifacts-etl-streamlit-analytics Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-etl-streamlit-analytics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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