Global Divorce Data Uncovered: Turning Inconsistent Records into Analytical Gold with SAS and R
Broken Marriages, Broken Data: Turning a Global Divorce Dataset into Reliable Insights with SAS (PROC SQL vs DATA Step) and R 1. Introduction Imagine you’re working on a global analytics project analyzing divorce trends across countries . The goal is serious identify patterns, support policymakers, and even assist social researchers. But when the dataset arrives, it’s chaos. Some countries are written as “india” , some as “INDIA” , and others as “InDia” . Divorce counts include negative numbers. Dates appear as 2023-15-40. Ages of individuals include -5. Duplicate records inflate statistics. Missing values are scattered everywhere. This is not just “messy data.” This is dangerous data . In clinical trials or business analytics, bad data leads to: Incorrect conclusions Regulatory rejection Financial losses Poor decision-making This is where SAS and R become powerful. SAS brings structured, regulated, audit-friendly processing , especially critical in CDISC enviro...