How to Clean Data: A Beginner’s Guide
In data analytics, raw data is seldom flawless. It frequently comes with issues such as messiness, incompleteness, inconsistencies, or outright errors. Whether you’re analyzing customer behavior, sales trends, or survey responses, the truth is simple: bad data leads to bad insights. That’s where data cleaning comes in—a foundational step that every aspiring data analyst must master.