453.Global AI Trends Unlocked Through SCAN and SUBSTR Precision in SAS
Global AI Nations, Broken Data & Hidden Patterns: Mastering SCAN and SUBSTR in SAS for Real-World Data Rescue 1. Introduction Imagine you’re working as a SAS programmer on a global analytics project analyzing AI adoption across countries . The dataset looks promising countries, AI usage percentages, launch dates, sector details but within minutes, reality hits: “India” appears as india, INDIA, and even NULL Dates look like 2023-01-01, 01/01/2023, and 20230101 AI sector column contains strings like "Healthcare-AI", "Finance_AI", "Edu AI" Duplicate records quietly distort trends Negative usage percentages exist (!) Now imagine presenting insights from this dataset to stakeholders. One wrong number → flawed decision → business loss. This is exactly why data cleaning is not optional it’s foundational . In both SAS and R , data cleaning transforms chaos into intelligence. And in SAS, functions like SCAN ...