# BostonHousing

0th

Percentile

##### Boston Housing Data

Housing data for 506 census tracts of Boston from the 1970 census. The dataframe BostonHousing contains the original data by Harrison and Rubinfeld (1979), the dataframe BostonHousing2 the corrected version with additional spatial information (see references below).

Keywords
datasets
##### Usage
data(BostonHousing) data(BostonHousing2)
##### Format

The original data are 506 observations on 14 variables, medv being the target variable:

 crim per capita crime rate by town zn proportion of residential land zoned for lots over 25,000 sq.ft indus proportion of non-retail business acres per town chas Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) nox nitric oxides concentration (parts per 10 million) rm average number of rooms per dwelling age proportion of owner-occupied units built prior to 1940 dis weighted distances to five Boston employment centres rad index of accessibility to radial highways tax full-value property-tax rate per USD 10,000 ptratio pupil-teacher ratio by town b $1000(B - 0.63)^2$ where $B$ is the proportion of blacks by town lstat percentage of lower status of the population
The corrected data set has the following additional columns:
 cmedv corrected median value of owner-occupied homes in USD 1000's town name of town tract census tract lon longitude of census tract lat latitude of census tract

##### Source

The original data have been taken from the UCI Repository Of Machine Learning Databases at

the corrected data have been taken from Statlib at See Statlib and references there for details on the corrections. Both were converted to R format by Friedrich Leisch.

##### References

Harrison, D. and Rubinfeld, D.L. (1978). Hedonic prices and the demand for clean air. Journal of Environmental Economics and Management, 5, 81--102.

Gilley, O.W., and R. Kelley Pace (1996). On the Harrison and Rubinfeld Data. Journal of Environmental Economics and Management, 31, 403--405. [Provided corrections and examined censoring.]

Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.

Pace, R. Kelley, and O.W. Gilley (1997). Using the Spatial Configuration of the Data to Improve Estimation. Journal of the Real Estate Finance and Economics, 14, 333--340. [Added georeferencing and spatial estimation.]

##### Aliases
• BostonHousing
• BostonHousing2
##### Examples
library(mlbench) data(BostonHousing) summary(BostonHousing) data(BostonHousing2) summary(BostonHousing2)
Documentation reproduced from package mlbench, version 2.1-1, License: GPL-2

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