🟢 Data Cleaning Techniques in Excel Data cleaning is one of the most important steps in data analysis. No matter how advanced your formulas or dashboards are, poor-quality data can lead to incorrect results and misleading insights. Microsoft Excel provides a wide range of tools and features that help you clean, organize, and prepare data efficiently. In this blog post, we will explore essential data cleaning techniques in Excel that will help you improve accuracy, consistency, and reliability in your datasets. 🔹 Why Data Cleaning Is Important Raw data often contains: Duplicate records Missing or blank values Inconsistent formatting Spelling errors Extra spaces or unwanted characters Cleaning data ensures: Accurate calculations Better analysis and reporting Reduced errors in dashboards Professional and reliable results 1️⃣ Remove Duplicates Duplicate records can distort totals and analysis. How to remove duplicates: Select your data r...
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