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TagSelect: High-Capacity Random Sampler

TagSelect streamlines the process of randomly sampling participants from small and large datasets (supports up to 10,000 participants and 1,000 variables). With a clean interface and high-performance sampling algorithms, researchers can upload data, select a sample size, and tag selected individuals in seconds. Built for: Clinical trials, surveys, education research, and institutional studies

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High-Capacity Random Sampler by Mudasir Mohammed Ibrahim

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