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Learn the NumPy trick for generating synthetic data that actually behaves like real data.

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The tool aims to democratize data science, allowing broader teams to replicate high-level investigations like Coinbase’s recent fentanyl sprint, which generated 41 intelligence packages globally.

The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...