harvard-art-museums-data-pipeline
OfficialBuild robust data engineering pipelines with Harvard Art Museums API data.
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for efficient data engineering in managing, analyzing, and visualizing art museum collections, leveraging the Harvard Art Museums API.
Core Features & Use Cases
- ETL Workflow: Provides a comprehensive ETL (Extract, Transform, Load) workflow for processing data from the Harvard Art Museums API.
- SQL Analytics: Employs SQL for deep data analysis, offering insights into artifact metadata and collections.
- Data Visualization: Generates interactive Streamlit dashboards for artifact data visualization using Plotly and Streamlit.
- Use Case: Suppose you're a museum curator or researcher interested in the cultural heritage of specific artifacts. This Skill can help you collect, process, and visualize the data, enabling a better understanding of the collection and its artifacts.
Quick Start
To start building your data pipeline, clone the repository, install dependencies, and run the provided Streamlit dashboard with your environment variables set up.
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-art-museums-data-pipeline Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museums-data-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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