: Survey data often has "Refused" or "Don't Know" entries. Decide whether to drop these or impute them based on the median.
: Useful for showing the intersection of employment types between partners. Couple.uk.csv
: The file contains survey data—often derived from sources like the UK Household Longitudinal Study—capturing details about cohabiting or married couples. Key Variables : : Survey data often has "Refused" or "Don't Know" entries
: Work categories (e.g., full-time, retired). Income : Individual or combined gross earnings. Education : Qualification levels of each partner. : The file contains survey data—often derived from
: Ages of both partners (often labeled as age_p1 , age_p2 ).
: Analyze whether partners tend to have similar educational backgrounds using a correlation matrix. 4. Visualizing the Results
: Ensure categorical data like employment status is consistently labeled (e.g., "Full-time" vs "FT").