Which type of data holds number values that express magnitude?

Numerical data refers specifically to data types that consist of numbers that express magnitude. This type of data can be divided into two subcategories: discrete and continuous. Discrete numerical data consists of whole numbers, while continuous numerical data can include fractions and decimals. Numerical data is significant in data science and analytics as it allows for mathematical operations and statistical analysis, which are integral to deriving insights and making decisions based on the data.

In contrast, qualitative data describes attributes or characteristics and cannot be measured numerically. Categorical data involves values that can be divided into groups or categories. While both qualitative and categorical data may include numbers, the numbers do not represent magnitude in those contexts. Nominal data also represents categories without a specific order or magnitude associated with them, making it distinct from numerical data.