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Exploratory Data Analysis (EDA) is the process of examining and visualizing data to understand its underlying structure, identify patterns, detect anomalies, and generate hypotheses. It involves techniques like statistical summaries and graphical representations, helping data scientists grasp data characteristics before applying models or further analysis, ensuring informed decision-making and improved insights in data science projects.