Evaluation of passengers' expectations and satisfaction in the airline industry using Python

Introduction—

MATLABSolutions demonstrate In this task we are going to The report is focused on understanding the various ways in which passengers could be satisfied in the airline business while looking for the key drivers of satisfaction within this industry. Hence, its importance can be seen through the benefits it will provide to airlines such as better understanding of service quality, developing systematic customer retention strategies, and achieving competitive advantage in the industry. A proper understanding of these factors can help the airline industry to better optimize operational performances and adjust services to better cater for passengers’ needs and wants under various circumstances, which in turn will help to strengthen the relationships between the airline and consumer, as well as maintain the positive perception of the airline brand in today’s highly competitive environment.

Dataset Overview

The dataset used in this analysis is the “Airline Passenger Satisfaction”, which provides a set of structured and accurate data regarding different aspects of passenger-end interaction with airlines. It combined fundamental and detailed data on passengers and travelers, kind of trip, flight information, service opinions, and customer satisfaction and rating (Chang et al. 2022).

Data Preparation

Dataset Source

To accomplish the aim of this analysis, the “Airline Passenger Satisfaction” dataset employed here was obtained from an online archive solely on airline data sets.

This dataset consolidates data relating to passenger information in terms of the journey, background, services they availed on board, and their satisfaction level of service of the airline.