Non-metric data, also known as qualitative data, includes categories or descriptions that cannot be measured numerically. Examples include colors (e.g., red, blue, green), types of cuisine (e.g., Italian, Mexican, Chinese), and customer satisfaction ratings (e.g., satisfied, neutral, dissatisfied). Other examples are demographic information such as gender or occupation, and preferences, such as favorite hobbies or brands. These data types are often analyzed using thematic analysis or frequency counts rather than statistical methods.
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