Coffee-Shop-Profit-Predictor AmirhosseinHonardoust · PARTIAL
Predict the profitability of potential coffee shop locations using SQL and Python. Combines data engineering with feature-rich regression modeling, visual analytics, and business insights to support data-driven site selection and retail decision-making.
github.com/AmirhosseinHonardoust/Coffee-Shop-Profit-Predictor · ★ 40 · Forks 1 · Size 684 KB
SUMMARY
Technologies 13
Scored 10
Observed 10
Practices 6
Evidence 15
Skips 3
COVERAGE
Analyzed 34 files · 51 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
2 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
2 files · PRODUCTION
Python LANGUAGE Depth 70
13 files · PRODUCTION
SQL LANGUAGE Depth 70
1 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
Black QUALITY Depth —
0 files · config only
NumPy LIBRARY Depth 74
4 files · PRODUCTION, TEST
Ruff QUALITY Depth —
0 files · config only
mypy QUALITY Depth —
0 files · config only
pandas LIBRARY Depth 78
9 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-23
Last commit 2026-09-06
Active months 4
Commits 51