harvard-art-museums-data-engineering-app
OfficialStreamlit Dashboard for Harvard Art Museums Analytics
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The harvard-art-museums-data-engineering-app solves the problem of analyzing large datasets from the Harvard Art Museums using SQL queries and Streamlit visualizations.
Core Features & Use Cases
- End-to-End Data Pipeline: Collects, transforms, loads, analyzes, and visualizes art metadata from the Harvard Art Museums API.
- SQL Analytics: Provides over 20 predefined SQL queries to analyze art collection data.
- Streamlit Visualization: Offers interactive Plotly dashboards for visualizing museum artifact data.
- Use Case: For a data scientist or analyst looking to gain insights from the vast collection of the Harvard Art Museums, this app could be used to quickly analyze patterns and trends in the art collection.
Quick Start
Run the Streamlit app by executing the following command:
streamlit run app.py
Dependency Matrix
Required Modules
streamlitpandasrequestsmysql-connector-pythonplotlypython-dotenv
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: harvard-art-museums-data-engineering-app Download link: https://github.com/Aradotso/data-skills/archive/main.zip#harvard-art-museums-data-engineering-app Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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