Name: Fair's Extramarital Affairs Data
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Fair's Extramarital Affairs Data

Infidelity data, known as Fair's Affairs. Cross-section data from a survey conducted by Psychology Today in 1969.

Variable	Description
affairs	How often engaged in extramarital sexual intercourse during the past year?
gender	Gender
age	Age in years. Coding: 17.5 = under 20, 22 = 20–24, 27 = 25–29, 32 = 30–34, 37 = 35–39, 42 = 40–44, 47 = 45–49, 52 = 50–54, 57 = 55 or over.
yearsmarried	Number of years married. Coding: 0.125 = 3 months or less, 0.417 = 4–6 months, 0.75 = 6 months–1 year, 1.5 = 1–2 years, 4 = 3–5 years, 7 = 6–8 years, 10 = 9–11 years, 15 = 12 or more years.
children	Are there children in the marriage?
religiousness	Religiousness level. Coding: 1 = anti, 2 = not at all, 3 = slightly, 4 = somewhat, 5 = very.
education	Level of education. Coding: 9 = grade school, 12 = high school graduate, 14 = some college, 16 = college graduate, 17 = some graduate work, 18 = master's degree, 20 = Ph.D., M.D., or other advanced degree.
occupation	Occupation according to Hollingshead classification (reverse numbering)
rating	Self-rating of marriage. Coding: 1 = very unhappy, 2 = somewhat unhappy, 3 = average, 4 = happier than average, 5 = very happy.

Tables

Affairs

@kaggle.utkarshx27_fairs_extramarital_affairs_data.affairs

12.46 kB
601 rows
10 columns

CREATE TABLE affairs (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "affairs" BIGINT,
  "gender" VARCHAR,
  "age" DOUBLE,
  "yearsmarried" DOUBLE,
  "children" VARCHAR,
  "religiousness" BIGINT,
  "education" BIGINT,
  "occupation" BIGINT,
  "rating" BIGINT
);