HousingPrices is a dataset of real estate properties in Amsterdam, containing details such as address, price, area size, number of rooms, and geographic coordinates. The dataset is available on OpenML under a CC0-1.0 license. The author and last update date are not specified.
Use Cases
- Predict property prices based on features like area size and number of rooms.
- Analyze housing price variations across different neighborhoods in Amsterdam.
- Perform spatial analysis and mapping of property locations using longitude and latitude coordinates.
- Study trends in property characteristics such as size and room count.
Strengths
- Includes geographic coordinates (longitude and latitude) for spatial analysis.
- Contains specific property features such as price in Euros, area in square meters, and number of rooms.
Limitations
- Row count and overall dataset size are unknown, which may limit suitability assessment.
- Last update date is unknown; freshness unverified.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- OpenML
- Geography
- Amsterdam, Netherlands