Statistical Methods for Data Science
Data normalization is the process of adjusting values in a dataset to a common scale, without distorting differences in the ranges of values. This technique is crucial for ensuring that various types of data can be compared and analyzed effectively, particularly when different measurement scales are involved. By standardizing data, it becomes easier to manipulate, clean, model, and visualize information in meaningful ways, enhancing the overall quality and interpretability of data analyses.
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