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B-Course provides a public domain data set called Boston Housing Data so that one can try out B-Course without own data. Below you can find some details of our example data set.
This dataset concerns housing values in suburbs of Boston There are 506 cases each of which have 14 variables.
The data consists of the following 14 variables:
1. | Crimes/capita: | numerical | per capita crime rate by town |
2. | residental%: | numerical | proportion of residential land zoned for lots over 25,000 sq.ft. |
3. | non-retail%: | numerical | proportion of non-retail business acres per town |
4. | CharlesRiver: | 0, 1 | Charles River dummy variable (= 1 if tract bounds river; 0 otherwise) |
5. | N_oxides: | numerical | nitric oxides concentration (parts per 10 million) |
6. | rooms/dwelling | numerical | average number of rooms per dwelling |
7. | pre40's%: | numerical | proportion of owner-occupied units built prior to 1940 |
8. | :distance | numerical | weighted distances to five Boston employment centres |
9. | access: | numerical | index of accessibility to radial highways |
10. | tax rate: | numerical | full-value property-tax rate per $10,000 |
11. | pupils/teachers: | numerical | pupil-teacher ratio by town |
12. | black index: | numerical | 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town |
13. | low status: | numerical | % lower status of the population |
14. | home value: | numerical | Median value of owner-occupied homes in $1000's |
Reference:
Harrison, D. and Rubinfeld, D.L.
"Hedonic prices and the demand for clean air",
J. Environ. Economics & Management,
vol.5, 81-102, 1978.
B-Course, version 2.0.0 |