Data Cleaning and Pre-processing Steps | FixityEDX

Data cleaning and preprocessing are essential steps in data analysis to ensure accuracy and reliability. This process involves handling missing data, removing duplicates, and correcting errors. It also includes data transformation tasks like normalization and encoding to make the data suitable for analysis. Proper preprocessing ensures high-quality data, leading to more accurate insights and better decision-making.

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