Yankee Stadium Beer Price Controls
C 62 completed
Data Tool
monorepo / css · small
315
Files
16,239
LOC
2
Frameworks
9
Languages
Pipeline State
completedRun ID
#281493Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
75.47Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:10Deduplication group #47493
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Top concepts (8)
data_accesspresentationtestingFactoryStrategyTestingDatabaseConfiguration
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🧪 Code Distillation
Browse all specs →AI Prompt
Create an economic analysis tool that models the impact of beer price controls at Yankee Stadium. The tool should analyze consumer welfare, revenue changes, and externalities. Specifically, it needs to calculate the Pigouvian Tax Gap, considering external costs like crime and health, and model how changes in beer price affect beer consumption and ticket prices. I'd like to see the key findings, such as the revenue potential for NYC, and ideally, integrate a way to view the analysis, perhaps using a JupyterBook or a Streamlit-like interface.
python economics analysis modeling finance jupyterbook streamlit price-control welfare
Generated by gemma4:latest
Catalog Information
This project analyzes the economic impact of beer price controls at Yankee Stadium.
Description
The yankee-stadium-beer-controls project is an economic analysis tool that examines the effects of regulating beer prices at a major sports venue, specifically Yankee Stadium. It uses data visualization and statistical methods to provide insights into the potential outcomes of such policies. The project aims to inform decision-makers about the economic implications of price controls on beer sales in this context.
الوصف
هذا المشروع هو أداة تحليل اقتصادية تدرس تأثيرات التحكم في أسعار البيرة في ملعب يانكي. يستخدم هذا الأداء visualization وطرق إحصائية لتقديم نظرة على النتائج المحتملة لهذه السياسات. الهدف من المشروع هو تزويد القرار makers بفهم الاقتصادي للنتائج المحتملة للسيطرة على أسعار البيرة في هذا السياق.
Novelty
5/10Tags
economic-analysis beer-price-controls sports-venue data-visualization statistical-modeling
Technologies
matplotlib numpy pandas plotly scipy streamlit
Claude Models
claude (unknown version) claude-opus-4.6 claude-opus-4.5
Quality Score
C
61.7/100
Structure
78
Code Quality
80
Documentation
71
Testing
55
Practices
34
Security
20
Dependencies
80
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Properly licensed project
Weaknesses
- Potential hardcoded secrets in 18 files
- 207 duplicate lines detected \u2014 consider DRY refactoring
Recommendations
- Move hardcoded secrets to environment variables or a secrets manager
- Address 34 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
14
Vulnerabilities
2
Critical CVEs
13.6h
Tech Debt (B)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
Medium
DORA Rating
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (14)
MIT
License
4.4%
Duplication
Languages
Frameworks
Express pytest
Symbols
variable64
function20
method20
constant6
class3
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API Endpoints (10)
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Concepts (8)
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BinComp Dependency Hardening
All packages →5 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.