These data fields are placed into separate groups based on labels rather than measurements. Data measured along a continuous scale is different because it represents values that can vary incrementally. Textual data without structure does not enforce any specific grouping or labels. Date-oriented data tracks time-based information, which is not used to label categories in this situation.
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What are discrete labels and how are they different from other data types?
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Can you explain why data measured on a continuous scale is not suitable for categorization?
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What is the significance of data fields in categorizing products or locations?