Dimensionality refers to the number of dimensions or axes in a dataset or vector space that defines the shape and structure of the data. In the context of vectors, dimensionality indicates how many components or elements are present in a vector, which directly affects how the data can be manipulated and analyzed. Understanding dimensionality is crucial when creating and working with vectors, as it influences operations such as indexing, subsetting, and mathematical calculations.
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