Couple.uk.csv May 2026

: How long the couple has been together. 2. Data Cleaning Steps

: Best for statistical plotting and complex cleaning.

: Analyze whether partners tend to have similar educational backgrounds using a correlation matrix. 4. Visualizing the Results Couple.uk.csv

: Work categories (e.g., full-time, retired). Income : Individual or combined gross earnings. Education : Qualification levels of each partner.

: Survey data often has "Refused" or "Don't Know" entries. Decide whether to drop these or impute them based on the median. : How long the couple has been together

: Create a histogram to see the common age difference between partners.

: Useful for showing the intersection of employment types between partners. "Full-time" vs "FT").

: Ensure categorical data like employment status is consistently labeled (e.g., "Full-time" vs "FT").