Project whose objective was to bring light to air traffic trends in the US after the christmas holidays. To achieve more interesting insights, the data is complemented with weather data through a JSON API. The project starts by considering research questions that would bring value to everyday companies, business planners or transport institutes and follows answering them with visualizations and explainable machine learning with XGBOOST and SHAP.