Traveler Segmentation Survey Data with Cluster Labels

This dataset is drawn from a survey of 1,030 travelers, cleaned and processed for segmentation analysis. Raw responses were quality-filtered; multi-select items parsed; and ordinal/qualitative answers encoded to derive features spanning psychological traits, travel preferences and behavior, technology usage, and budgeting patterns. Five distinct traveler segments (clusters 0–4) were identified on the standardized feature set. The file includes the derived feature matrix and cluster assignments, enabling replication or secondary analysis of traveler typologies.