Airbnb property listings from multiple major cities including New York City, London, Paris, and Tokyo. The dataset's author, organization, and specific volume are unknown. The last update date is also unknown.
Use Cases
- Analyze listing_price variations across cities like NYC, London, Paris, and Tokyo.
- Model occupancy_rate or demand using features like neighborhood and property_type.
- Cluster listings based on amenities and review_scores to identify market segments.
- Predict host_superhost status from historical review_count and response_time data.
- Map the geographic_density of listings to study their impact on local housing markets.
Strengths
- Covers listings from several major global tourism and business hubs.
- Includes multiple cities for comparative urban analysis.
Limitations
- Specific row count, column details, and data completeness are unknown.
- Temporal coverage and recency of the listings data are unspecified.
- Potential geographic bias is present, focusing only on selected major cities.
Provenance
- Source
- null
- Collection Method
- null
- Time Range
- null
- Freshness
- null
- Geography
- Global, with specified cities: New York City, London, Paris, Tokyo.