What type of data is considered quantitative?

Quantitative data is characterized by its ability to be measured and expressed numerically. This form of data allows for statistical analysis, making it possible to identify patterns, trends, and relationships within datasets. Numerical values represent quantities, enabling comparison and calculation, which is fundamental in quantitative research.

In contrast, the other options involve non-numerical data. Textual descriptions provide qualitative insights by capturing experiences and opinions but lack measurable values. Images and illustrations serve as visual data but don't provide numerical information that can be quantified. Lastly, emotional responses to narratives reflect subjective experiences and sentiments, which cannot be measured with numbers. Therefore, the essence of quantitative data lies in its numerical nature, making it suitable for precise measurement and analysis, reinforcing that the identification of numerical values is fundamental to this type of data.