Passenger satisfaction is a crucial element for the success and reputation of any airline company. Recent survey results from Maven Airlines passengers have shown a satisfaction rate below 50% for the first time. The goal of this analysis is to identify key areas that require improvement and to recommend a data-driven strategy to increase the satisfaction rate.
To analyze the data, we will use various statistical and Machine Learning techniques. This may include descriptive analysis, correlation analysis, etc. Libraries such as Pandas, Numpy, Seaborn, Matplotlib, and Scikit-Learn will be employed to transform the data and produce relevant visualizations.
The project is conducted using Python and requires the installation of the following packages :
- pandas
- matplotlib
- seaborn
- scikit-learn
- plotly
- dash
These packages can be installed using pip :
pip install pandas numpy matplotlib seaborn sklearn plotly dash
The dataset is a CSV file named 'airline_passenger_satisfaction.csv'. It can be loaded into Python using the pandas library :
import pandas as pd
data = pd.read_csv('chemin_vers_le_fichier/airline_passenger_satisfaction.csv')- Key Findings :
The analysis has revealed significant insights into the factors influencing passenger satisfaction. Key areas identified include the quality of onboard service, ease of booking, and airport services.
- Recommendations:
The recommendations are based on the analysis results and aim to improve the identified key areas. Targeted actions such as improving onboard service, and enhancing the booking experience can help increase the satisfaction rate.
Conclusion
This study has explored various factors influencing passenger satisfaction and proposed concrete measures to improve customer experience at Maven Airlines. The insights gained are specific to this dataset and can serve as a basis for targeted improvement strategies.
The data used in this analysis comes from https://mavenanalytics.io/
Contributions to this project are welcome. If you wish to contribute, please first open an issue to discuss what you would like to change.
If you have any questions or comments about this project, please contact me at :