harvard-artifacts-collection-analytics-app
OfficialAnalyze Harvard Art Museums data with ETL, SQL, and Streamlit dashboards.
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of analyzing complex data from the Harvard Art Museums API, providing a streamlined approach to ETL, SQL analytics, and interactive visualization.
Core Features & Use Cases
- ETL Pipeline: Extract, transform, and load artifact data from the API.
- SQL Analytics: Execute analytical SQL queries on the data.
- Streamlit Dashboard: Create interactive visualizations using Streamlit.
- Use Case: For a museum curator, this Skill can help analyze artifact collections, identify trends, and create informative dashboards for stakeholders.
Quick Start
Use the harvard-artifacts-collection-analytics-app skill to build an ETL pipeline and visualize 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-analytics-app Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-collection-analytics-app Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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