The hotel industry is constantly evolving, and it is important for hotel managers to understand factors that influence booking demand in order to optimize pricing, marketing, and other business strategies. In this analysis, we will explore the Hotel Booking Demand dataset from Kaggle, which contains booking information for a city hotel and a resort hotel, and includes information such as when the booking was made, length of stay, the number of adults, children, and babies, and the amount paid. Our goal is to identify trends and patterns in the data that can provide actionable insights for hotel management.