Data transformation is the process of converting data from one format or structure into another. This is often necessary to enable data integration, improve data quality, or prepare data for analysis. Key characteristics include the ability to clean, normalize, and aggregate data, making it suitable for machine learning or data visualization tasks. Common use cases involve converting raw data from various sources into a structured format that can be easily analyzed or fed into algorithms. Data transformation is a critical step in data preprocessing and is essential for effective data science and analytics.
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AI Fundamentals