What type of data would be classified as quantitative?

Quantitative data is defined as information that can be measured and expressed numerically. It often involves counts or measurements that allow for statistical analysis. In this context, sales figures fit this definition perfectly, as they represent numerical values that can be quantified and analyzed to derive various insights, such as trends over time, comparison between periods, or forecasting future sales.

On the other hand, customer feedback, employee perceptions, and visitor testimonials are primarily qualitative in nature. They capture subjective experiences, opinions, or feelings, which do not lend themselves to direct numerical measurement. These types of data are valuable for understanding customer satisfaction, workplace morale, or visitor experiences but cannot be represented in a numerical format as sales figures can. This distinction underscores why sales figures are the quintessential example of quantitative data in this scenario.