What are data attributes?

Data attributes are characteristics that describe data points, making option B the correct choice. Attributes serve as descriptors that provide context for the data, allowing analysts to understand and interpret the information more effectively. For example, in a dataset containing information about cars, attributes might include the make, model, year, color, and mileage. Each of these attributes gives meaningful details that help in analyzing patterns or drawing conclusions from the dataset.

Understanding data attributes is essential for data analysis because they form the basis for categorization, comparison, and filtering of data. When attributing characteristics to data points, analysts can group them, make predictions, and derive insights that inform business decisions or research outcomes.