real_estate_valuation: Real Estate Valuation Dataset A dataset containing features related to residential property valuation in New Taipei City, Taiwan, including house age, proximity to transit (MRT), local amenities (convenience stores), geographic coordinates, and the target valuation.

Description

Real Estate Valuation Dataset

A dataset containing features related to residential property valuation in New Taipei City, Taiwan, including house age, proximity to transit (MRT), local amenities (convenience stores), geographic coordinates, and the target valuation.

Usage

real_estate_valuation

Arguments

Format

A data frame with 414 observations (rows) and 6 variables:

X1 house age: House age (years). Older properties typically experience depreciation, which influences valuation.
X2 distance to the nearest MRT station: Distance to the nearest MRT (Mass Rapid Transit) station (meters). Closer transit access generally increases property value.
X3 number of convenience stores: Number of nearby convenience stores. More amenities correlate with higher desirability and valuation.
X4 latitude: Latitude (decimal degrees). Geographic coordinate for spatial analysis of location-based value trends.
X5 longitude: Longitude (decimal degrees). Geographic coordinate for spatial analysis of location-based value trends.
Y: Real estate valuation (10,000 New Taiwan Dollars per ping). The target variable representing property value. (Note: 1 ping = 3.3058 m², a local unit of area in Taiwan.)