Eight Essential Data Cleaning Techniques Every Analyst Should Know
The article outlines eight practical data cleaning methods—handling missing values, duplicate records, outliers, type conversion, standardization, inconsistent data, feature encoding, and text preprocessing—explaining why each step matters, how to apply specific techniques, and when to choose particular approaches.
