Qualitative Data

Description: Qualitative data refers to information that is not expressed in numerical terms but describes characteristics, qualities, or attributes of a phenomenon. This type of data is fundamental in social research and behavior analysis, as it captures the complexity of human experiences. Unlike quantitative data, which focuses on measurement and statistical analysis, qualitative data emphasizes a deep understanding of contexts and meanings. It is obtained through methods such as interviews, focus groups, observations, and content analysis, allowing researchers to explore perceptions, emotions, and motivations. The richness of qualitative data lies in its ability to provide a holistic and contextualized view, which is essential in fields like psychology, sociology, and marketing. Additionally, this data is particularly useful in data mining, where the goal is to discover patterns and trends from unstructured information. In summary, qualitative data is a valuable tool for understanding the complexity of social and human phenomena, offering a perspective that complements more numerical approaches.

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