Fundamental Units
In Data Science, fundamental units refer to the basic building blocks of data that are used to represent information. These units can be numerical, categorical, or textual and are used to create variables that can be analyzed and manipulated. The choice of fundamental units depends on the type of data being analyzed and the research question being addressed. For example, in a study of customer behavior, the fundamental units might be purchase amounts, product categories, and demographic information. In machine learning, fundamental units are used to create features that are used to train models. The selection of appropriate fundamental units is critical to the success of the analysis or model.
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