What type of data is considered qualitative?

Qualitative data is characterized by its focus on descriptive information that can provide insights into emotions, attitudes, and experiences. In this context, employee feedback and perceptions stand out as qualitative data because they reflect personal opinions, feelings, and experiences rather than numerical metrics. This type of data is typically gathered through interviews, surveys, or open-ended questions, enabling organizations to gain a deeper understanding of employee sentiments and workplace culture.

In contrast, the other choices are examples of quantitative data or other forms of measurement. For instance, sales figures, financial statements, and market share analysis rely on numerical expression and statistical analysis to inform business decisions. These types of data are crucial for generating metrics, trends, and forecasts, but they do not capture the nuances of individual experiences or perceptions. Understanding the distinction between qualitative and quantitative data is essential for effective data analysis and decision-making in various contexts.