Flight Delay Analysis – United Airlines

Tags: Permutation Testing | Weather Analytics | R

Link: GitHub

🔍 Overview

Studied departure delays for over 58,000 UA flights and how they correlate with time, temperature, and weather conditions.

❓ Key Questions

• What time-of-day factors influence delays?

• How does weather impact delay magnitude?

🧪 Methodology

• Used permutation tests instead of parametric tests

• Engineered temporal features and grouped weather metrics

📈 Results

• Delays more severe in late-day flights

• Low visibility and temperature strongly correlated with high delays