Web Reference: Aug 7, 2024 · Data preparation is the act of organizing, cleaning, and ultimately combining data for later analysis. Ideally, data preparation will bring the data up to an “analytics-ready” standard so that it can be properly analyzed and visualized. Jul 23, 2025 · Data preparation is the process of making raw data ready for after processing and analysis. The key methods are to collect, clean, and label raw data in a format suitable for machine learning (ML) algorithms, followed by data exploration and visualization. Data preparation is the process of gathering, combining, structuring and organizing data for use in business intelligence, analytics and data science applications. This comprehensive guide to data preparation further explains what it is, how to do it and the benefits it provides in organizations.
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