Which type of data is characterized by being measured or counted using numbers?

Numeric data is defined as any data that is measured or counted using numbers. This type of data can be continuous, like height or weight, or discrete, like the number of visitors to a website. Numeric data allows for a range of mathematical operations, enabling various analyses such as calculating averages, sums, or statistical variances, which are crucial for quantitative assessments.

In contrast, unstructured data refers to information that does not have a predefined data model, making it difficult to analyze using traditional tools. This includes formats such as text and multimedia files. Structured data, while more organized and often associated with databases, encompasses a broader category that includes numeric data but also other types such as dates and categories that have a defined format. Categorical data involves grouping or labeling data points into distinct categories, such as responses in a survey, and while they can be represented numerically (e.g., through encoding), they are inherently qualitative rather than measured. Thus, the identification of numeric data focuses specifically on the measurement aspect.