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  Mastering Advanced Data Cleaning in Excel: The Ultimate Guide Data cleaning is a critical step in data analysis, ensuring your insights are accurate and reliable. In this guide, we’ll explore advanced data cleaning techniques in Excel that can transform messy datasets into organized, actionable information. Whether you’re handling large datasets or refining smaller ones, these tips will elevate your Excel game. 1. Remove Duplicates with Precision Duplicates can skew your analysis. Excel offers a straightforward way to handle them: Go to the Data tab and click Remove Duplicates . Select the columns where duplicates may exist. Use advanced filters if you need more control by selecting Data > Advanced and configuring your criteria. 2. Leverage Conditional Formatting to Highlight Errors Conditional Formatting helps you visualize inconsistencies: Use the Highlight Cells Rules to identify blank cells, duplicate valu...