This dataset provides comprehensive information about customers' preferences and behaviors related to airline holiday bookings. With detailed attributes covering various aspects of the booking process, this dataset is ideal for analyzing and understanding customer choices and patterns in the airline industry.
Potential analyses and applications include:
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Identifying factors influencing successful holiday bookings and improving conversion rates.
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Evaluating the impact of different services (e.g., in-flight meals, extra baggage allowance) on customers' booking decisions.
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Assessing the relationship between booking lead time and customer choices.
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Exploratory Data Analysis file : https://github.com/Muhannad0101/Analysis-of-airline-booking-dataset/blob/main/EDA-Machine%20learning.ipynb
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Dashboards : https://github.com/Muhannad0101/Analysis-of-airline-booking-dataset/blob/main/dashboards.pdf