A univariate data set consists on only one variable, like Income of individual families, Heights of children in a given age group, Test Scores or ages of employees in an organization. But there are many situations where we need to observe two variables for the required study. Also we may be interested to know whether the subject under study is related to another variable. Hence the study of Bivariate Data provides tools, techniques and methods for the purpose of analysis and inference of Bivariate Data Distribution.

A contingency table is used to display the bivariate data when both the variables are classified as categorical.

Bivariate data consists of two variables, whose relationship is to be analyzed.

The Variables in a Bivariate data distribution can both be numerical, can both be categorical or one numerical and one categorical. If the analysis shows that one variable is influenced by the second variable, then the two variables are correspondingly known as dependent and independent variables.