Final answer:
The columns in long data contain the values and the context of the data, including data types. They enable analysis and manipulation of the data.
Step-by-step explanation:
In the context of long data, the columns contain the values and the context of the data. Each column represents a specific attribute or characteristic of the data. For example, if you have a long data set of students, the columns could include attributes such as name, age, gender, and grade level.
Having the values and context in the columns enables you to analyze and manipulate the data effectively. You can perform calculations, apply filters, sort the data, and create visualizations based on the values in the columns.
It is important to note that the data types can also be part of the columns. The data types define the format in which the values are stored, such as numbers, dates, or text.