In a dataset, what does each object represent?

In a dataset, each object represents a unique entry or instance of an object type. This means that for every entry in the dataset, there is a distinct piece of data that corresponds to a particular object. For instance, if you have a dataset of customer information, each object would represent an individual customer, complete with their associated properties such as name, address, and purchase history.

This concept is fundamental to understanding how datasets are structured, as it establishes the basis for data retrieval and manipulation. Each object serves as a singular unit of data that can be analyzed, compared, and contextualized within broader data relationships, which is essential for tasks like data analysis, reporting, and machine learning.

In contrast, the other options focus on aspects related to the structure of the dataset rather than what an object inherently represents. For example, a column in the dataset refers to the attributes or fields of the objects, while properties are specifics of those objects. Links would pertain to the relationships between different object types rather than to the identity of the objects themselves. Thus, understanding that each object is a unique instance is crucial for effectively working with and interpreting the data contained within a dataset.