This dataset contains information on housing values and various factors influencing those values in 506 suburbs of Boston. It provides detailed insights into the factors such as crime rates, proximity to highways, and the quality of the local environment that may affect housing prices.
Usage
data(Boston_df)Format
A data frame with 506 observations and 14 variables:
- 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) (integer).
- 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 (integer).
- 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 Black population by town (numeric).
- lstat
Lower status of the population (percent) (numeric).
- medv
Median value of owner-occupied homes in $1000s (numeric).
Source
This dataset was obtained from the Boston dataset, which is part of the MASS package, with slight modifications.
Details
The dataset name has been changed to 'Boston_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the crimedatasets package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a traditional data frame in R. The original content has not been modified in any way.