← Back to Home

Airline Delay Analysis

A Tableau dashboard built to explain where delays cost the most, what causes them, and when they peak -helping translate airline disruption data into operational insights.

Tableau Exploratory Analytics Operations Storytelling
Passenger impact and highest delay costs by U.S. airports (2024)
Airport impact

Highlights the airports and airlines where delay time translates into the largest passenger impact - making it easy to spot the biggest cost centers at a glance.

Delay causes and average delay breakdown by airline
Delay drivers

Breaks delays into root causes (carrier, late aircraft, NAS, weather) and compares airlines by average delay mix- useful for diagnosing what’s actually driving disruption.

Seasonal peaks in passenger delay hours and trends in cancellations vs delays
Seasonality & trends

Shows seasonal peaks in passenger delay hours and the shift between cancellations and delays over time - helping identify “high-risk” months and changing disruption patterns.

View Dashboard Back to Projects