The article introduces different types of multivariate data from various fields like science, humanities, business, and medicine. It discusses how these data sets have correlated variables and explains exploratory and inferential techniques used to analyze them. The text reviews both univariate and multivariate procedures, highlighting that some techniques are unique to multivariate analysis. The main goals for readers are to understand different multivariate techniques, choose the right one for a specific data set, and interpret computer analysis results. The article includes examples and problems with real data sets, with answers provided in the appendix.