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task_categories:
  - tabular-regression
  - tabular-classification
language:
  - en
pretty_name: 'Ames Iowa: Alternative to the Boston Housing Data Set'
size_categories:
  - 1K<n<10K
license: unknown
configs:
  - config_name: default
    data_files: AmesHousing.csv
    default: true
    sep: ','
  - config_name: metadata
    data_files: metadata.json

Dataset Card for 'Ames Iowa: Alternative to the Boston Housing Data Set'

This dataset contains information from the Ames Assessor’s Office about residential properties sold in Ames, IA from 2006 to 2010. This repository is a mirror the original dataset meant to facilitate its consumption.

The dataset was originally published by Dean De Cock in Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project, it is meant as a resource for teaching machine learning as an alternative to the old and small Boston Housing Dataset.

Dataset Details

Dataset Description

  • Curated by: Dean De Cock, Truman State University
  • License: Unknown

Full description of the dataset is in ./originals/DataDocumentation.txt, structured metadata was extracted manually in ./metadata.json.

The main dataset file is AmesHousing.csv is the result of a simple preprocessing of the original file, the preprocessing script is in ./preprocessing/preprocess.py.

Dataset Sources

Uses

This dataset was designed as an alternative for the well-known Boston Housing Data Set, mostly for teaching purposes.

Dataset Creation

Curation Rationale

The original author of this dataset was motivated to assemble a larger and more contemporary dataset: the boston housing dataset covers data from the 1970s and only has 506 observations, ie prices, over 14 variables.

Source Data

The original author of the dataset obtain the raw data directly from the Ames, Iowa, 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}
}