What type of information is typically provided by qualitative data?

Qualitative data is primarily focused on capturing non-numerical insights, which often includes subjective experiences and emotional responses. The information categorized under likes, dislikes, and personal experiences helps to understand behaviors, motivations, and attitudes. This type of data is vital in recognizing patterns and trends from a human perspective, which may not be reflected in raw numbers.

On the other hand, numerical measures, direct financial transactions, and market share data are typically reflected as quantitative data. These elements are concrete and measurable, rendering them useful for statistical analysis but not as effective for exploring the deeper feelings and motivations that qualitative data can unveil. Thus, the option that highlights qualitative insights aligns accurately with what is typically captured by qualitative data.