harvard-artifacts-collection-analytics-pipeline
OfficialData engineering solution for Harvard Art Museums API analytics
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill offers a comprehensive data engineering solution to analyze Harvard Art Museums data, including ETL, SQL analytics, and interactive visualization.
Core Features & Use Cases
- ETL Pipeline: Extract, transform, and load data from the Harvard Art Museums API.
- SQL Analytics: Perform detailed SQL analytics on art artifacts.
- Streamlit Dashboard: Create interactive dashboards for art collection data visualization.
- Use Case: For a museum curator, this Skill can be used to analyze the popularity of different art artifacts and generate insights about the collection.
Quick Start
Clone the repository and install dependencies. Run the ETL pipeline to load data into the database.
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-pipeline Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-artifacts-collection-analytics-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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