District-Literacy-Analysis Cyberoctane29 · COMPLETED
This project analyzes district literacy rates using descriptive statistics, probability distributions, confidence intervals, and hypothesis testing. It explores data patterns, detects outliers with z-scores, and conducts point estimation. The analysis is performed using Python with NumPy, Pandas, SciPy Stats, Statsmodels, and Matplotlib.
github.com/Cyberoctane29/District-Literacy-Analysis · ★ 0 · Forks 0 · Size 755 KB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 4 files · 21 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-03-06
Last commit 2025-03-14
Active months 1
Commits 21