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Airline_Satisfaction_Project

Package

  • import pandas as pd
  • import numpy as np
  • import matplotlib.pyplot as plt
  • import seaborn as sns

Column Description

Gender: Gender of the passengers (Female, Male)

Customer Type: The customer type (Loyal customer, disloyal customer)

Age: The actual age of the passengers

Type of Travel: Purpose of the flight of the passengers (Personal Travel, Business Travel)

Class: Travel class in the plane of the passengers (Business, Eco, Eco Plus)

Flight distance: The flight distance of this journey

Inflight wifi service: Satisfaction level of the inflight wifi service (0:Not Applicable;1-5)

Departure/Arrival time convenient: Satisfaction level of Departure/Arrival time convenient

Ease of Online booking: Satisfaction level of online booking

Gate location: Satisfaction level of Gate location

Food and drink: Satisfaction level of Food and drink

Online boarding: Satisfaction level of online boarding

Seat comfort: Satisfaction level of Seat comfort

Inflight entertainment: Satisfaction level of inflight entertainment

On-board service: Satisfaction level of On-board service

Leg room service: Satisfaction level of Leg room service

Baggage handling: Satisfaction level of baggage handling

Check-in service: Satisfaction level of Check-in service

Inflight service: Satisfaction level of inflight service

Cleanliness: Satisfaction level of Cleanliness

Departure Delay in Minutes: Minutes delayed when departure

Arrival Delay in Minutes: Minutes delayed when Arrival

Satisfaction: Airline satisfaction level(Satisfaction, neutral or dissatisfaction)

File

train.csv: Original training dataset that is used for ML

test.csv: Original testing dataset that is used for ML

Airline Satisfaction.ipynb: The notebook with analysis for this project

Purpose of the project

I am trying to find out if airline industry can rely on passenger satisfaction survey to improve their service.

Analysis

Throughout the analysis in the notebook, I use Data Visualization and Machine Learning techniques to find out that Class (Whether passenger fly in Business or Economy Class) has a big effect on how satisfy the passengers are. I think this will not help the Airline Industry improve their service, because airline don't decide if people purchase a business class or economy class ticket. If Airline solely rely on this factor to improve service, it would be completely unreliable.

Please refer to the Medium: https://medium.com/@zzy98y/can-we-rely-on-air-travel-passenger-satisfaction-survey-to-improve-air-travel-experience-bc60ec474fb3

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Udacity Data Science Capstone

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