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  Data Cleaning Advantages The Power of Data Cleaning: Transforming Raw Data into Actionable Insights In today’s data-driven world, the importance of clean and accurate data cannot be overstated. Businesses, researchers, and decision-makers rely heavily on data to gain insights, drive growth, and make informed decisions. However, raw data is often riddled with errors, inconsistencies, and irrelevant information that can distort analysis and lead to poor outcomes. This is where data cleaning comes into play. Let's delve into the advantages of data cleaning with real-world examples that showcase its transformative impact. What is Data Cleaning? Data cleaning, also known as data cleansing, involves identifying and correcting inaccuracies, inconsistencies, and errors in a dataset. This process ensures that the data is accurate, complete, and ready for analysis. Common cleaning tasks include removing duplicates, filling in missing values, correcting formatting issues, and...