Hotel Booking Reservation

This dataset contains detailed information about hotel bookings, including reservation dates, customer demographics, stay duration, deposit types, cancellation status, and other booking-related attributes. It is an updated and cleaned version of the original UCI “Hotel Booking Demand” dataset, prepared for machine learning and data analytics tasks.

The dataset is suitable for classification, regression, and clustering projects such as:

Predicting booking cancellations

Forecasting demand and occupancy

Understanding guest behavior and stay patterns

Analyzing customer segmentation

Data Summary

Instances: 119,390

Attributes: 33

Features (Inputs): 32

Target Variable: is_canceled

Missing Values: Yes (some in children, agent, company)

File Type: CSV (21.28 MB)

Use Cases

Machine learning classification (predicting cancellations)

Regression (predicting ADR or lead time)

Clustering (customer segmentation)

Time-series analysis (seasonal trends)

Business intelligence dashboards