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One way to efficiently reduce the size of a dataset without compromising its integrity or accuracy is by using techniques such as sampling or aggregation. Sampling involves selecting a subset of the data that is representative of the whole dataset, while aggregation involves combining similar data points into a single representation. These methods can help reduce the size of the dataset while still maintaining its overall accuracy and integrity.

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3mo ago

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