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CompetitionsUnderstanding flight delays ✈️

Competition

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Understanding flight delays ✈️

Understanding flight delays ✈️

You work for a major airline operating flights across the USA. Flight delays are a significant challenge for both the airline and passengers, causing disruptions, financial losses, and dissatisfaction. As part of the airline’s data analytics team, your goal is to analyze historical flight data to uncover delay patterns, identify operational inefficiencies, and predict delays before they occur. By identifying delay patterns, predicting delays, and uncovering the factors that contribute most to delays, you’ll be able to drive operational efficiency and enhance the overall passenger experience. Your insights will help the airline make data-driven decisions to optimize scheduling, improve on-time performance, and enhance passenger satisfaction.

Prize

SWAG

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Your challenge

  • How do different airlines compare in terms of their departure and arrival times? Are there noticeable trends in their on-time performance over the year? A well-structured visualization could help uncover patterns.
  • Are there particular months/weeks/time of day where there is a general trend of greater delays in flights across all carriers? If so, what could be the reasons?
  • Some airports seem to operate like clockwork, while others are notorious for disruptions. How do different airports compare when it comes to departure and arrival punctuality? Could location, traffic volume, or other factors play a role? Are there patterns that emerge when looking at delays across various airports?
  • [Optional 1] Predict whether a flight will have a delay of 15 minutes or more at departure.
  • [Optional 2] What underlying factors influence flight delays the most? Are some routes more prone to disruptions than others? Do external variables like time of day, distance, or carrier policies play a significant role? By analyzing the relationships between different features, you might discover unexpected insights.

How to get started

Create your most insightful analysis using DataLab, our in-browser tool to write, run, and publish data analyses. Once you’ve finished your work, you’ll need to publish it for review.

1
Start your analysis in R or Python.
2
Create an insightful analysis.
3
Make your work public to share it and get upvoted.

Judging criteria

This is a community-based competition. Once the competition concludes, you'll have the opportunity to view and vote for the best submissions of others as the voting begins. The top 5 most upvoted entries will win. The winners will receive DataCamp merchandise.

Rules

  • Entries to the competition take the form of a workbook publication. Make sure the competition publication is publicly visible in order to be entered into the competition.
  • Your publication should be focused on data provided within the competition.
  • The competition is open and free to registered DataCamp users.
  • Make sure your competition workbook is published by the competition deadline in order for it to be valid.
  • You can check the time left to submit on the counter at the top of this page.

Note: Please make sure you're 18+ years old and are allowed to take part in a skill-based competition from your country.

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