In statistics and data analysis, univariate refers to a dataset or analysis that involves a single variable or feature. Univariate analysis typically focuses on examining the distribution, central tendency, and variability of a single variable.
Bivariate, on the other hand, refers to a dataset or analysis that involves two variables or features. Bivariate analysis typically focuses on examining the relationship between two variables, such as how they are correlated or how one variable may affect the other.
For example, a univariate analysis of a dataset might involve calculating the mean, median, and standard deviation of a single variable, while a bivariate analysis might involve examining the correlation between two variables, such as income and education level.
The univariate analysis involves analyzing a single variable, while bivariate analysis involves analyzing the relationship between two variables.