Which type of data is defined as difficult to count or measure numerically?

Qualitative data is defined as information that is difficult to count or measure numerically, as it primarily focuses on describing characteristics, attributes, or qualities rather than providing numerical results. This type of data is typically gathered through methods such as interviews, open-ended surveys, or observations, allowing for a deeper understanding of concepts, experiences, or opinions.

In contrast, quantitative data is characterized by its numerical nature, enabling statistical analysis and providing results that can be expressed in numbers, such as measurements or counts. Binary data represents a specific form of quantitative data, consisting of only two distinct categories, often used in scenarios involving yes/no or true/false classifications. Statistical data encompasses a broader array of information derived from statistical analyses and can include both qualitative and quantitative data, making it not specifically representative of the definition provided. Therefore, qualitative data distinctly aligns with the definition of being difficult to quantify.