A dataset of property listings for Amsterdam, containing address, price, area, room count, and geographic coordinates. It was contributed by author 'thomasnibb' to the OpenML platform and is shared under a CC0-1.0 license. The number of records and the last update date are not specified in the provided metadata.
Use Cases
- Predict property prices based on features like area and number of rooms.
- Analyze housing price variations across different Amsterdam neighborhoods using zip codes.
- Perform spatial analysis and mapping of property distributions using longitude and latitude coordinates.
Strengths
- Includes geographic coordinates (longitude and latitude) for spatial analysis.
- Contains specific property features such as price in Euros, area in square meters, and room count.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- OpenML platform, contributed by author 'thomasnibb'.
- Geography
- Amsterdam, Netherlands.