Couple.uk.csv

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

: Useful for showing the intersection of employment types between partners.

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

: Verify extreme income or age values to ensure they aren't data entry errors. 3. Suggested Analysis

: Create a histogram to see the common age difference between partners. : Work categories (e

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

: Use a scatter plot to compare the earnings of Partner A vs. Partner B to identify trends in "breadwinning" roles. : Useful for showing the intersection of employment

: Ages of both partners (often labeled as age_p1 , age_p2 ).