Caso de Práctica 1: Colombina - Juan Jose Zuluaga Suarez

The main objective of this cleaning process is to transform the raw, segmented temporal data of the NYC 2013 flights dataset into a continuous and usable timeline. By converting military-style integers into formal time objects and reconciling scheduled times with their respective delays, the script aims to create accurate, high-fidelity datetime columns. A critical component of this objective is the implementation of logical corrections for overnight flights, ensuring that arrivals occurring after midnight are correctly attributed to the following calendar day, thereby maintaining temporal integrity for subsequent analysis.