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harvard-artifacts-collection-analytics

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Data Engineering & Analytics for Harvard Art Museums

Data & Analytics#data visualization#ETL#data analysis#artifacts#Harvard Art Museums
AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill streamlines the process of working with the Harvard Art Museums API, enabling efficient data extraction, transformation, and analysis of art artifacts.

Core Features & Use Cases

  • ETL Pipeline: Extracts and transforms data from the API into a normalized relational database structure.
  • Data Analysis: Executes predefined SQL queries for insights on artifacts, cultures, centuries, and media.
  • Visualization: Generates interactive dashboards to visualize data using Plotly charts.
  • Use Case: Use this Skill to quickly analyze the Harvard Art Museums' artifact collection, understand the cultural distribution of artifacts, and visualize their color usage patterns.

Quick Start

Execute the following command to run the Streamlit app and access the analytics dashboard: streamlit run app.py

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

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