How is qualitative data defined?

Qualitative data is characterized by its focus on non-numerical information. This type of data typically represents categories or groups, such as names, labels, or descriptions, which can help in understanding concepts, themes, or patterns within the data. Examples of qualitative data include responses from open-ended survey questions, interviews, or observations that describe characteristics or qualities without relying on numerical scales.

Understanding the distinction between qualitative and quantitative data is essential in statistics, as it guides researchers in selecting appropriate analytical methods for their data set. Qualitative data allows for an exploration of perspectives and experiences, providing depth and context that numeric data alone may not capture.