Numerical Variables

Numerical variables are essential components in data analysis, representing measurable quantities that can be expressed in numbers. They are categorized into two main types: discrete and continuous variables. Discrete variables can take on a finite number of values, often countable, such as the number of students in a class. In contrast, continuous variables can assume an infinite range of values within a given interval, such as height or weight. Understanding the nature of numerical variables is crucial for selecting appropriate statistical methods and accurately interpreting data in various fields, including data science and statistics.