How do univariate and multivariate descriptive statistics differ?

Descriptive statistics serve to summarize and interpret data through tabular, graphical, and numerical methods. The primary difference between univariate and multivariate approaches lies in the number of variables being analyzed and the objective of the analysis:

• Univariate statistics: These methods focus on analyzing a single variable to enhance understanding of its specific characteristics and distribution.1
• Multivariate statistics: These methods are used to examine and understand the relationships, patterns, or associations that exist among two or more variables simultaneously.1

While univariate analysis provides a snapshot of individual data points—such as calculating the mean or standard deviation to identify outliers—multivariate analysis is essential for exploring how different variables interact with one another within a data set.12