Mathematical classification data can be defined as qualitative data, which contains the information of classifying and classifying data. In addition, it is also a commonly used data structure in statistics and big data analysis. It can be used in data mining and analysis to better understand the data.

Examples and application scenarios of mathematical classification data are very extensive. In the medical field, doctors may classify patients according to their blood type or medical history; In sociology, people can be classified by education level, age or occupation. So we can use mathematical classification data to classify anything, so as to better understand and analyze it.

The advantages of mathematical classification data are obvious. First, it can make data easier to understand and analyze. Secondly, it can help people quickly distinguish different data categories. Finally, the mathematical classification data can be used to create intuitive visual charts, making the data more readable. To sum up, mathematical classification data is a very useful data structure.