What is the difference between qualitative and quantitative data?

Qualitative data is characterized by its descriptive nature, which captures qualities or attributes that cannot be measured numerically. This type of data provides insights into the characteristics of a subject, such as opinions, feelings, or categorical measurements. For example, qualitative data could include descriptions of customer satisfaction or opinions about a product.

On the other hand, quantitative data is numerical and can be measured and expressed in numbers. This type of data allows for precise calculations and statistical analysis. An example of quantitative data would be sales figures, temperatures, or age.

The distinction lies in the ability of qualitative data to provide depth and context to research findings through descriptions, while quantitative data lends itself to analysis through statistical methods due to its numerical nature. Understanding this difference allows for effective data collection and analysis in various fields, such as social sciences, marketing, and research.