Airline Losses Estimate

By shrijeetverma13 · March 9, 2026

Data source:

The analysis identified the airlines with the highest estimated daily losses and their countries of origin. A bar chart was created showing the top 10 airlines ranked by their daily losses, with each airline color-coded by country.

The analysis successfully calculated the estimated loss per impacted passenger for each airline and created a visualization showing the results. A bar chart displays the loss per passenger across all airlines, with color intensity indicating the magnitude of loss. The data is sorted from highest to lowest loss per passenger, making it easy to identify which airlines experience the greatest financial impact per affected passenger.

The analysis successfully identified which countries have the highest aggregate daily losses across all their airlines. A comprehensive bar chart was created showing the total daily losses for each country, with color intensity indicating the magnitude of losses.

The analysis shows the percentage of total daily losses attributed to additional fuel costs for each airline. A bar chart visualization has been created showing these percentages, with color intensity indicating the relative impact. The data reveals how much of each airline's daily losses come specifically from extra fuel expenses.

I've created a comprehensive analysis showing the relationship between airline cancellation rates and passenger impact. The interactive scatter plot displays each airline's cancellation rate on the horizontal axis and the number of passengers impacted on the vertical axis, with bubble sizes representing the volume of cancelled flights.

I've analyzed the average daily losses per airline broken down by country to reveal regional patterns. The analysis includes both a grouped bar chart showing losses by airline within each country, and detailed data tables breaking down the financial impact across regions.

The analysis identified airlines with disproportionately high fuel costs relative to their rerouted flights. The average fuel cost per rerouted flight across all airlines is $35,614. Airlines spending above this average are considered to have disproportionately high costs.

The analysis reveals a strong positive correlation (0.928) between the number of passengers impacted and estimated daily losses across airlines. This means that airlines with more affected passengers consistently experience proportionally higher financial losses. Two visualizations were created: a scatter plot showing the relationship between passengers impacted and daily losses (with bubble sizes representing cancelled flights), and a bar chart ranking all airlines by passengers impacted with color-coding for their daily losses.

Yes, airlines with more cancelled flights have significantly higher losses than those with more rerouted flights. The analysis shows that cancelled flights have a stronger correlation with losses (0.869) compared to rerouted flights (0.803), and each cancelled flight costs an average of $267,286 versus only $59,587 per rerouted flight.

I've created two visualizations showing which airlines rely most heavily on rerouting and their associated fuel costs. The first chart is a scatter plot that displays the relationship between rerouting reliance (the ratio of rerouted flights to total disrupted flights) and additional fuel costs, with bubble sizes representing the number of rerouted flights. The second chart shows a horizontal bar chart of additional fuel costs by airline, color-coded by their rerouting ratio to help identify patterns.

I've calculated the average daily loss per cancelled flight for each airline and created a visualization showing the comparison across all airlines.

The analysis identified countries with multiple airlines affected by the disruption and calculated their combined impact. A bar chart was generated showing the total daily losses for each country, with the number of airlines indicated on each bar.

Only one airline in the dataset has zero rerouted flights. The analysis successfully generated a visualization comparing cancelled flights and daily losses for this airline, along with a detailed data table showing the complete breakdown of their operational metrics.

The total industry-wide daily impact shows significant disruption across all metrics. The industry is experiencing a daily loss of $48.84 million USD, with 195 flights cancelled and 119,570 passengers impacted.

The analysis reveals a dramatic difference between the top 5 and bottom 5 airlines ranked by estimated daily losses. The top 5 airlines (Emirates, Qatar Airways, El Al, Turkish Airlines, and Singapore Airlines) face significantly higher impacts across all metrics compared to the bottom 5 (Oman Air, Finnair, LOT Polish Airlines, Royal Jordanian, and EgyptAir).

I've analyzed the average number of passengers impacted per disrupted flight for each airline. The analysis shows the relative impact each airline's disruptions have on passengers, with a clear visualization comparing all carriers.

The analysis generated two data tables showing how airlines are distributed across low, medium, and high daily loss segments. The segmentation is based on percentile thresholds of estimated daily losses, dividing airlines into three equal groups.

The analysis successfully identified airlines reporting zero additional fuel costs and created a visualization comparing their operational patterns. A grouped bar chart shows the number of cancelled versus rerouted flights for each of these airlines, revealing their flight management strategies during disruptions.