pub fn boston() -> Result<DataFrame, PolarsError>Expand description
§Housing Values in Suburbs of Boston
§Description:
The ‘Boston’ data frame has 506 rows and 14 columns.
§Usage:
Boston
§Format:
This data frame contains the following columns:
- ‘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’ nitrogen 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 mean of distances to five Boston employment centres.
- ‘rad’ index of accessibility to radial highways.
- ‘tax’ full-value property-tax rate per $10,000.
- ‘ptratio’ pupil-teacher ratio by town.
- ‘black’ 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town.
- ‘lstat’ lower status of the population (percent).
- ‘medv’ median value of owner-occupied homes in $1000s.
§Source:
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the demand for clean air. J. Environ. Economics and Management 5, 81-102.
Belsley D.A., Kuh, E. and Welsch, R.E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity. New York: Wiley.