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harvard-artifacts-collection-data-engineering-analytics

Official

Leverage Harvard Art Museums data for in-depth analytics with SQL and Streamlit

Data & Analytics#data visualization#Streamlit#data engineering#SQL analytics#Harvard Art Museums
AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of manually extracting and analyzing complex data from the Harvard Art Museums API, providing a streamlined process to automate ETL, SQL analytics, and visualization.

Core Features & Use Cases

  • End-to-End Data Engineering: Extracts, transforms, and loads data from the Harvard Art Museums API into SQL databases.
  • SQL Analytics: Performs a variety of analytical queries on the dataset, providing insights into the museum collection.
  • Visualizations: Creates interactive dashboards with Streamlit and Plotly for visual representation of data.
  • Use Case: An art historian could use this Skill to quickly analyze trends in museum artifacts by century or culture.

Quick Start

Use the 'harvard-artifacts-collection-data-engineering-analytics' skill to extract and visualize museum artifacts data from the Harvard Art Museums API.

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-collection-data-engineering-analytics
Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-collection-data-engineering-analytics

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