How to Clean Messy Data Like a Pro
In the world of data analytics, raw data is rarely perfect. It’s often incomplete, inconsistent, or simply disorganized. This is where data cleaning—also called data scrubbing—becomes essential. Cleaning messy data is the first and most critical step in ensuring accurate, reliable insights. Whether you’re analyzing sales trends or building predictive models, the quality of your data directly impacts your outcomes.