444.Turning Messy Raw Data Into Decision-Ready Gold With SAS Error Fixing Techniques
Can A Step-By-Step SAS Data Error Fixing Framework Turn Chaotic Raw Data Into Trusted Intelligence? Introduction: Why This Project Matters In real-world analytics, raw data is rarely clean. It behaves like an untrained employee unpredictable, inconsistent, and sometimes outright wrong. As a SAS programmer, your role is not just to analyze data, but to discipline it , standardize it , and ultimately trust it . In this project, we will simulate a realistic messy dataset and systematically fix it using SAS. Think of this as moving from “data chaos” to “decision-grade intelligence.” The Raw Dataset SAS Code (DATALINES) DATA raw_errors; INPUT ID Name $ Age Salary JoinDate:$10. Score; DATALINES; 1 John 25 50000 2022-01-15 85 2 Mary -30 60000 2022-02-20 90 3 Steve 45 -70000 2022-03-10 88 4 Anna . 55000 2022-04-12 . 5 Mike 200 45000 2022-05-05 75 6 Sara 29 0 2022-06-25 92 7 David 34 72000 2022-13-01 80 8 Lisa 28 68000 2022-07-15 95 9 Tom 31 65000 . 89 10 Emma 27 70000 2022-08-20 91 ...