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In quantitative data, information is primarily represented using numerical values. This approach allows for precise measurement and statistical analysis, making it easier to draw conclusions and identify patterns within the data. For example, responses can be quantified in forms like yes/no questions, ratings on a scale, or other numeric values, which facilitate comparison and aggregation of data across different groups or categories.

The other options involve qualitative data, which captures more subjective information through descriptions, personal feelings, or open-ended feedback. While these aspects are valuable for understanding the context and depth of a situation, they do not lend themselves to the numerical representation that characterizes quantitative data.