miami_housing

OpenML dataset with id 44983

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Full work available at URL: https://api.openml.org/data/v1/download/22111847/miami_housing.arff

Upload date: 22 December 2022

Dataset Characteristics

Number of classes: 0
Number of features: 16 (numeric: 16, symbolic: 0 and in total binary: 0 )
Number of instances: 13,932
Number of instances with missing values: 0
Number of missing values: 0

Description

Data description

The dataset contains information on 13,932 single-family homes sold in Miami . Content.

The goal is to predict the sale price.

Attribute description

The dataset contains the following columns:

 * PARCELNO: unique identifier for each property. About 1% appear multiple times.
 * SALE_PRC: sale price ($)
 * LND_SQFOOT: land area (square feet)
 * TOTLVGAREA: floor area (square feet)
 * SPECFEATVAL: value of special features (e.g., swimming pools) ($)
 * RAIL_DIST: distance to the nearest rail line (an indicator of noise) (feet)
 * OCEAN_DIST: distance to the ocean (feet)
 * WATER_DIST: distance to the nearest body of water (feet)
 * CNTR_DIST: distance to the Miami central business district (feet)
 * SUBCNTR_DI: distance to the nearest subcenter (feet)
 * HWY_DIST: distance to the nearest highway (an indicator of noise) (feet)
 * age: age of the structure
 * avno60plus: dummy variable for airplane noise exceeding an acceptable level
 * structure_quality: quality of the structure
 * month_sold: sale month in 2016 (1 = jan)
 * LATITUDE
 * LONGITUDE

This page was built for dataset: miami_housing