Introduction to Univariate, Bivariate, and Multivariate Analysis

Univariate: When there is just one variable in the data and no mention of causes, effects, or causal links. For instance, the researcher may want to count the number of males and girls in a school when conducting a survey. The data, in this case, would just show a number, i.e., a variable and amount. The main goal of univariate data is to describe the data using mean, median, variance, mode, dispersion, range, standard deviation, etc. to identify patterns within the data. Bivariate: When the dataset contains two variables and researchers aim to undertake a comparison between the two datasets then the bivariate analysis is the right technique.