60 million booking transactions for flights, hotels, and rides. The dataset likely contains booking details across 20 different countries. Its origin, author, and specific time range are unknown.
Use Cases
- Predict booking trends based on transaction volume across 20 countries
- Cluster customer segments based on booking types (flights, hotels, rides)
- Analyze market share or service usage across different travel sectors
Strengths
- 60 million transactions provides a large sample size
- Includes three distinct booking types: flights, hotels, and rides
- Geographic coverage spans 20 countries
Limitations
- Column-level documentation is absent; field semantics must be inferred after download
- Row count is unknown, which may limit suitability assessment
- Last update date is unknown; freshness unverified
Provenance
- Geography
- 20 countries