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Decipher complex relationships with advanced R techniques for data-driven decision-makingEnglish | 2024 | ISBN: 1837639027 | 665 Pages | EPUB (True) | 10 MB
Determining causality in data is difficult due to confounding factors. Written by an applied scientist specializing in causal inference with over a decade of experience, Causal Inference in R provides the tools and methods you need to accurately establish causal relationships, improving data-driven decision-making.
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