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This dataset provides comprehensive details about hotel bookings, specifically focusing on cancellations. It includes various attributes such as the booking date, cancellation status, lead time, customer type, and the type of hotel (city or resort). The dataset is especially valuable for understanding patterns and trends in hotel booking cancellations, as well as for gaining insights into customer behavior. Analysts and data scientists can use this data to develop predictive models, helping to identify potential cancellations and improve booking strategies. The dataset is ideal for data science projects involving classification, time series analysis, or predictive modeling to minimize hotel cancellations and maximize booking efficiency.