Foundations of Data Science
Categorical data refers to a type of data that can be divided into distinct categories or groups, which represent qualitative characteristics rather than numerical values. This type of data can be nominal, where there is no inherent order among categories, or ordinal, where the categories have a meaningful sequence. Understanding categorical data is crucial for data analysis as it helps in organizing information, visualizing data effectively, and building models that can make predictions or decisions based on these categories.
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