

BostonHousing(mlbench)                       R Documentation

_B_o_s_t_o_n _H_o_u_s_i_n_g _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n_:

     Concerns housing values in suburbs of Boston.

_U_s_a_g_e_:

     data(BostonHousing)

_F_o_r_m_a_t_:

     A data frame with 506 observations on 14 variables, the
     last one `medv' being the target variable:

             [,1]             crim        per capita crime rate by town
             [,2]             zn          proportion of residential land zoned for lots over 25,000 sq.ft
             [,3]             indus       proportion of non-retail business acres per town
                [,4]          chas        Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
                    [,5]      nox         nitric oxides concentration (parts per 10 million)
                    [,6]      rm          average number of rooms per dwelling
                   [,7]       age         proportion of owner-occupied units built prior to 1940
               [,8]           dis         weighted distances to five Boston employment centres
               [,9]           rad         index of accessibility to radial highways
                   [,10]      tax         full-value property-tax rate per $10,000
                    [,11]     ptratio     pupil-teacher ratio by town
                 [,12]        b           1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
                   [,13]      lstat       lower status of the population
                   [,14]      medv        median value of owner-occupied homes in $1000's

_S_o_u_r_c_e_:

     Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and
     the demand for clean air', J. Environ. Economics & Man-
     agement, vol.5, 81-102, 1978.

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

        * ftp.ics.uci.edu://pub/machine-learning-databases

        * http://www.ics.uci.edu/mlearn/MLRepository.html

     and were converted to R format by
     Friedrich.Leisch@ci.tuwien.ac.at.

