Qualitative data is typically categorical and represents characteristics or qualities that cannot be measured on a numerical scale, such as colors, names, or labels. However, in some contexts, qualitative data can be treated as continuous when it involves ordinal scales, where categories have a meaningful order but the intervals between them are not uniform. For example, satisfaction ratings (like "satisfied," "neutral," and "dissatisfied") can be analyzed in a way that reflects a continuum of responses. Nonetheless, true continuous data is generally associated with quantitative measurements.
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