contraception: Contraceptive method choice
In Rkabacoff/qacr: Functions to Facilitate Data Science Projects

Description Usage Format Details Source Examples

This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey.

1	contraception

A data frame with 1473 rows and 10 variables:

wife_age: integer.
wife_education: integer. 1=low, 2, 3, 4=high.
number_of_children_ever_born: integer.
wife_religion: factor. Non-Islam, Islam.
standard_of_living: integer. 1=low, 2, 3, 4=high.
media_exposure: factor. Good, Not Good.
contraceptive: factor. No-use, Long-term, Short-term.
wife_now_working: factor. Yes, No.
husband_education: integer. 1=low, 2, 3, 4=high.
husband_occupation: integer. 1,2,3,4.

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.

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