Bivariate data refers to data that has two variables. These variables can be numeric or categorical, and they are often used to analyze the relationship or correlation between the two variables. Bivariate data analysis involves examining the patterns and trends in the data, as well as calculating summary statistics and creating graphical representations. This analysis can provide insights into the relationship between the variables and can help in making predictions or drawing conclusions. Some common examples of bivariate data include comparing age and income, studying the relationship between height and weight, or analyzing the correlation between temperature and ice cream sales.
