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Data that is generated artificially, typically using algorithms or simulations, when real data cannot be collected in sufficient amounts or does not meet specific requirements. Synthetic data is used in various fields such as machine learning, testing, and training, especially when dealing with privacy concerns, data scarcity, or ethical issues related to using real data. It can mimic the statistical properties and relationships of real data while ensuring compliance with legal or practical constraints.