Couple.uk.csv File

: Effective for comparing household income levels across different UK regions if geographic data is included. 5. Common Tools

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

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

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

: Use a scatter plot to compare the earnings of Partner A vs. Partner B to identify trends in "breadwinning" roles. : Effective for comparing household income levels across

To put together a guide for the file, you should focus on its role in analyzing demographic and relationship dynamics in the UK. This file is typically used in data science and sociology projects to explore factors like age gaps, income differences, and household structures. 1. Dataset Overview

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

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