bostonhousing: Boston Houses

In quantide/qdata: Quantide's data for R courses

Description

The bostonhousing data deals with 506 houses in Boston classified by 13 numerical characteristics (age, tax, etc.) and one categorical characteristic (chas).

Usage

data(bostonhousing)

Format

bostonhousing is a tbl data frame with 506 observations on 14 variables.

Details

The 14 variables of the bostonhousing tbl data frame are the following ones:

• crim per capita crime rate by town (numeric)

• zn proportion of residential land zoned for lots over 25,000 sq.ft. (numeric)

• indus proportion of non-retail business acres per town (numeric)

• chas Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) (numeric)

• nox nitrogen oxides concentration (parts per 10 million) (numeric)

• rm average number of rooms per dwelling (numeric)

• age proportion of owner-occupied units built prior to 1940 (numeric)

• dis weighted mean of distances to five Boston employment centres (numeric)

• rad index of accessibility to radial highways (numeric)

• tax full-value property-tax rate per $10,000 (numeric)

• ptratio pupil-teacher ratio by town (numeric)

• black 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town (numeric)

• lstat lower status of the population (percent) (numeric)

• medv median value of owner-occupied homes in $1000 (numeric)

quantide/qdata documentation built on May 26, 2019, 12:36 p.m.