Multivariate data is information that involves multiple variables or measurements for each observation or entity. Think of it as a spreadsheet where each row represents a different subject (like a person, a country, or a product), and each column represents a different characteristic or measurement of those subjects (like age, height, income, temperature, etc.). By analyzing multivariate data, you can understand how these variables interact with each other and identify patterns, trends, or relationships among them.
A dietician collects patient data on cholesterol, blood pressure, sugar levels and weight. She also collects data on dietary habits. Using Multivariate Data Analysis, she can determine how much each element of diet influences health outcomes
