Unicorn-Companies-Analysis Cyberoctane29 · COMPLETED
This project explores unicorn companies, private startups valued at over $1 billion, using Python for data analysis. It covers industry trends, geographic distribution, and investment patterns through EDA, including data cleaning, handling missing values, datetime transformations, and visualizations to uncover key insights.
github.com/Cyberoctane29/Unicorn-Companies-Analysis · ★ 0 · Forks 0 · Size 21.7 MB
SUMMARY
Technologies 1
Scored 1
Observed 1
Practices 6
Evidence 1
Skips 0
COVERAGE
Analyzed 5 files · 31 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 2025-03-02
Last commit 2025-03-13
Active months 1
Commits 31