Embark on a comprehensive live coding session that guides you through the process of creating a flight delay dataset using Python and Pandas on Kaggle. Learn how to pull airline flight data, explore existing datasets, and navigate public flight information sources. Gain hands-on experience in data cleaning, feature understanding, and visualization techniques using Plotly Express. Follow along as the instructor encounters and resolves real-time challenges, including dealing with partial data and downloading additional information. By the end of this tutorial, you'll have created a Kaggle dataset, generated visualizations, and gained valuable insights into the intricacies of working with flight delay data.