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ames_iowa_housing

This dataset contains information on residential properties sold in Ames, Iowa, USA, from 2006 to 2010, compiled by Dean De Cock. It serves as an educational resource to replace the older Boston Housing dataset. Detailed documentation is available in `./originals/DataDocumentation.txt`; structured feature metadata are manually extracted into `./features.json`. The primary data file is `AmesHousing.csv`, a lightly pre‑processed version of the original data.

Updated 12/19/2024
huggingface

Description

Dataset Card: Ames Iowa – Alternative to the Boston Housing Dataset

Dataset Overview

The dataset provides information on residential properties sold in Ames, Iowa, between 2006 and 2010, supplied by the Ames City Assessor's Office. It mirrors the original data and is intended to simplify usage.

Dataset Details

Description

  • Task Categories: Tabular Regression, Tabular Classification
  • Language: English
  • Dataset Name: Ames Iowa: Alternative to the Boston Housing Dataset
  • Size: 1K<n<10K
  • License: Unknown

Configuration

  • Configuration Name: default

    • Data File: AmesHousing.csv
    • Default: Yes
    • Separator: Comma
  • Configuration Name: features

    • Data File: features.json

Source

Intended Use

The dataset is meant to serve as a modern replacement for the classic Boston Housing dataset, primarily for teaching purposes.

Creation

Motivation

The original author aimed to assemble a larger, more contemporary dataset: the Boston Housing data dates from the 1970s and contains only 506 observations with 14 variables.

Source Data

The original data were obtained directly from the Ames City Assessor's Office.

Citation

BibTeX:

@article{de2011ames,
  title={Ames, Iowa: Alternative to the Boston housing data as an end of semester regression project},
  author={De Cock, Dean},
  journal={Journal of Statistics Education},
  volume={19},
  number={3},
  year={2011},
  publisher={Taylor & Francis}
}

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Topics

Real Estate
Data Analysis

Source

Organization: huggingface

Created: 12/17/2024

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