Univariate data refers to data that consists of a single variable. It is analyzed by considering only that one variable, without any relation to other variables. For example, if you collect data on the heights of students in a classroom, that data is univariate because it focuses solely on the height variable.
On the other hand, bivariate data involves two variables and is used to understand the relationship or correlation between them. For instance, if you collect data on students’ heights and their weights, that would be bivariate data. In this case, you can analyze how changes in one variable (height) affect the other variable (weight).
In summary, the key difference is that univariate data deals with one variable, while bivariate data involves two variables and looks at the interactions between them.