This objective of this project was to perform an exploratory data analysis on flights recorded in the US for the months of January 2019 and January 2020, which includes 17 Airlines and 346 airports. The main focus was to explore delays and what would be most likely to cause a flight to be delayed.

Here’s a link to the Kaggle page with the datasets and here linked in a google drive.

The python code is available as a Jupyter notebook at Github here.

I also created visuals using Tableau and the following Google slides to present the project, findings, and recommendations/next steps.