Dirty Data Leads to Wrong Results
In research, complex models and advanced statistical techniques often get the spotlight. But here’s the truth: if data is dirty, results are wrong—no matter how advanced the analysis looks. Data cleaning is not optional. It is the backbone of research integrity, transforming raw inputs into credible evidence. Neglecting it risks misleading findings, wasted resources, and … Read more