This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey.
contraceptionA data frame with 1473 rows and 10 variables:
wife_ageinteger.
wife_educationinteger. 1=low, 2, 3, 4=high.
number_of_children_ever_borninteger.
wife_religionfactor. Non-Islam, Islam.
standard_of_livinginteger. 1=low, 2, 3, 4=high.
media_exposurefactor. Good, Not Good.
contraceptivefactor. No-use, Long-term, Short-term.
wife_now_workingfactor. Yes, No.
husband_educationinteger. 1=low, 2, 3, 4=high.
husband_occupationinteger. 1,2,3,4.
Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science
The samples are married women who were either not pregnant or do not know if they were at the time of interview. The problem is to predict the current contraceptive method choice (no use, long-term methods, or short-term methods) of a woman based on her demographic and socio-economic characteristics.
summary(contraception)
#> wife_age wife_education number_of_children_ever_born wife_religion
#> Min. :16.00 Min. :1.000 Min. : 0.000 Non-Islam: 220
#> 1st Qu.:26.00 1st Qu.:2.000 1st Qu.: 1.000 Islam :1253
#> Median :32.00 Median :3.000 Median : 3.000
#> Mean :32.54 Mean :2.959 Mean : 3.261
#> 3rd Qu.:39.00 3rd Qu.:4.000 3rd Qu.: 4.000
#> Max. :49.00 Max. :4.000 Max. :16.000
#> standard_of_living media_exposure contraceptive wife_now_working
#> Min. :1.000 Good :1364 No-use :629 Yes: 369
#> 1st Qu.:3.000 Not good: 109 Long-term :333 No :1104
#> Median :3.000 Short-term:511
#> Mean :3.134
#> 3rd Qu.:4.000
#> Max. :4.000
#> husband_education husband_occupation
#> Min. :1.00 Min. :1.000
#> 1st Qu.:3.00 1st Qu.:1.000
#> Median :4.00 Median :2.000
#> Mean :3.43 Mean :2.138
#> 3rd Qu.:4.00 3rd Qu.:3.000
#> Max. :4.00 Max. :4.000