This repository contains an exploratory data analysis (EDA) and data visualization of the Hotel booking demand dataset.
The dataset can be found on Kaggle: Hotel booking demand
This notebook explores different aspects of hotel booking data, providing insights through analysis, visualizations, and addressing key questions raised during exploration.
- Distribution of guests' home countries
- Monthly averages of guests
- Duration of stay in nights
- Average hotel cost per night
- Time difference between booking and arrival dates
- Cancellation rates
- Which time of year shows the highest discrepancies between reserved and assigned room types?
- Are guest cancellations correlated with differences between reserved and assigned room types?
- Do guests tend to bring children/babies to hotels more frequently during the summer?
- Is there a relationship between cancellation rates and popular accommodation dates?
- What are the most significant factors correlated with cancellation?