Explanation: The primary purpose of Exploratory Data Analysis (EDA) in Data Science is to discover patterns and insights in data. EDA involves examining and summarizing the main characteristics of a dataset to gain a deeper understanding of its structure, identify relationships between variables, detect anomalies, and uncover potential patterns or trends. By exploring the data visually and statistically, data scientists can generate hypotheses, refine their research questions, and inform subsequent analysis or modeling processes.