HousingPrices
OpenML dataset with id 45933
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Full work available at URL: https://api.openml.org/data/v1/download/22117722/HousingPrices.arff
Upload date: 22 March 2024
Dataset Characteristics
Number of features: 8 (numeric: 5, symbolic: 1 and in total binary: 0 )
Number of instances: 924
Number of instances with missing values: 4
Number of missing values: 4
Description: This dataset contains information about real estate properties in Amsterdam. It includes details such as address, zip code, price, area size, number of rooms, longitude, and latitude coordinates.
Columns description: - Unnamed: 0: An identifier for each property listing. - Address: The street address of the property in Amsterdam. - Zip: The postal code of the property location. - Price: The price of the property in Euros. - Area: The size of the property in square meters. - Room: The number of rooms in the property. - Lon: The longitude coordinate of the property location. - Lat: The latitude coordinate of the property location.
Use case:
This dataset is valuable for real estate agencies, property investors, and researchers interested in the Amsterdam housing market. It can be used to analyze housing trends, pricing variations, and property characteristics across different neighborhoods in Amsterdam. The geographical coordinates also allow for mapping and spatial analysis of the properties. Additionally, this dataset can be used for predictive modeling to estimate property prices based on relevant features.
This page was built for dataset: HousingPrices
