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harvard-artifacts-etl-streamlit

Official

Build and analyze data engineering pipelines for museum artifacts

Data & Analytics#SQL#ETL#Streamlit#data engineering#Plotly#art museum
AuthorAradotso
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the extraction, transformation, and loading of museum artifact data, providing analytics and visualization capabilities through SQL queries and interactive dashboards.

Core Features & Use Cases

  • ETL Pipeline Automation: Streamlines the process of extracting data from APIs, transforming it, and loading it into a SQL database.
  • Interactive Dashboard: Offers real-time analytics and visualization of art museum data using Streamlit and Plotly.
  • Use Case: Imagine you need to analyze the color distribution of art pieces from the Harvard Art Museums. Use this Skill to extract data, analyze it, and visualize the results in a dashboard.

Quick Start

Install the skill and run the command 'harvard-artifacts-etl-streamlit run-etl-pipeline' to start the ETL process.

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

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