income                package:kernlab                R Documentation

_I_n_c_o_m_e _D_a_t_a

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

     Customer Income Data from a marketing survey.

_U_s_a_g_e:

     data(income)

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

     A data frame with 14 categorical variables (8993 observations).

     Explanation of the variable names:

         1   'INCOME'          annual income of household                  
                               (Personal income if single)                 ordinal
         2   'SEX'             sex                                         nominal
         3   'MARITAL.STATUS'  marital status                              nominal
         4   'AGE'             age                                         ordinal
         5   'EDUCATION'       educational grade                           ordinal
         6   'OCCUPATION'      type of work                                nominal
         7   'AREA'            how long the interviewed person has lived   
                               in the San Francisco/Oakland/San Jose area  ordinal
         8   'DUAL.INCOMES'    dual incomes (if married)                   nominal
         9   'HOUSEHOLD.SIZE'  persons living in the household             ordinal
         10  'UNDER18'         persons in household under 18               ordinal
         11  'HOUSEHOLDER'     householder status                          nominal
         12  'HOME.TYPE'       type of home                                nominal
         13  'ETHNIC.CLASS'    ethnic classification                       nominal
         14  'LANGUAGE'        language most often spoken at home          nominal

_D_e_t_a_i_l_s:

     A total of N=9409 questionnaires containg 502 questions were 
     filled out by shopping mall customers in the San Francisco Bay
     area.  The dataset is an extract from this survey. It consists of 
     14 demographic attributes. The dataset is a mixture of nominal and
     ordinal variables with a lot of missing data. The goal is to
     predict the Anual Income of Household from the other 13
     demographics attributes.

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

     Impact Resources, Inc., Columbus, OH (1987).

