What type of data is most likely to include descriptions, categories, and characteristics?

Qualitative data is characterized by its focus on descriptions, categories, and characteristics rather than numerical values. This type of data is used to capture qualities, features, or attributes that can be observed but not measured in terms of quantity. For example, qualitative data may include information about people's opinions, feelings, or experiences, providing rich, detailed insights that are often expressed in words.

In contrast, quantitative data consists of numerical values and can be measured and analyzed statistically, making it suitable for mathematical calculations. While statistical data can encompass both qualitative and quantitative forms, it does not inherently pertain to descriptive attributes. Numerical data specifically refers to values that represent quantities and can be used for arithmetic operations, further distinguishing it from the qualitative nature of descriptive information.