Statistical-Detection-Quantification-of-Global-Warming MelihOrel · COMPLETED
🌡️ A rigorous statistical pipeline for quantifying global warming trends. This project moves beyond simple visualization, employing robust time-series decomposition, anomaly detection, and advanced interpolation to isolate climate change signals from noisy historical temperature data. 🌍📊
github.com/MelihOrel/Statistical-Detection-Quantification-of-Global-Warming · ★ 2 · Forks 0 · Size 2.2 MB
SUMMARY
Technologies 7
Scored 7
Observed 7
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 18 files · 3 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
2 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
6 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
MongoDB DATABASE Depth 65
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
5 files · PRODUCTION
pandas LIBRARY Depth 74
6 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2026-06-28
Last commit 2026-06-28
Active months 1
Commits 3