Flight Delay Analysis on Long-Haul Flights
This project focuses on analyzing delays in long-haul flights (>2000 km), specifically those with delays greater than 2 hours. The objective is to uncover delay patterns and evaluate which factors most strongly influence these events.
🔎 Project Scope
- Flight Filtering
Only flights with:
Distance greater than 2000 km.
Delay greater than 2 hours.
- Delay Analysis by Day of the Week
Grouping criterion: day of the week.
Evaluation of average delays to identify trends and peak delay days.
- Identification of Predictor Variables
Exploration of potential predictors such as:
Month of the year
Departure time
Airline
Day of the week
Determination of which variable(s) best predict significant flight delays.
🎯 Objectives
Understand delay patterns on long-haul flights.
Provide insights into how temporal, operational, and airline-related factors contribute to delays.
Support data-driven strategies to mitigate future disruptions.
📊 Expected Outcomes
Clear visualizations of flight delay patterns.
Insights into which variables are most influential in predicting long delays.
A foundation for building predictive models to improve airline operations and passenger experience.