task_categories:
- tabular-regression
- tabular-classification
language:
- en
pretty_name: 'Ames Iowa: Alternative to the Boston Housing Data Set'
size_categories:
- 1K<n<10K
Dataset Card for 'Ames Iowa: Alternative to the Boston Housing Data Set'
This dataset contains information from the Ames Assessor’s Office used in computing assessed values for individual residential properties sold in Ames, IA from 2006 to 2010.
It was published by Dean De Cock in Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project.
This repository is meant as a mirror of the original dataset to facilitate its consumption.
Dataset Details
Dataset Description
- Curated by: Dean De Cock, Truman State University
- License: Unknown
Full description of the dataset is in ./DataDocumentation.txt
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
- Original Data:
- excel format (xls): https://jse.amstat.org/v19n3/decock/AmesHousing.xls (mirrored in [./originals/AmesHousing.xls])
- text format (tsv): https://jse.amstat.org/v19n3/decock/AmesHousing.txt (mirrored in [./originals/AmesHousing.txt])
- Paper: De Cock, D. (2011). Ames, Iowa: Alternative to the Boston Housing Data as an End of Semester Regression Project. Journal of Statistics Education, 19(3). https://doi.org/10.1080/10691898.2011.11889627
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}
}