This project analyzes a hotel booking dataset to uncover trends and insights related to booking cancellations. Key findings include the impact of room rates on cancellations, monthly booking patterns, and the influence of market segments.
- Bar plots showing booking and cancellation trends.
- Pie charts depicting cancellation distribution by country and market segment.
- Line plot analyzing the Average Daily Rate (ADR) over time.
- Insights into how room pricing and booking channels affect cancellations.
- Python 3.x
- Jupyter Notebook
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Clone the repository:
git clone https://github.com/asghar-rizvi/Hotel-Booking_Analysis