Exploratory Data Analysis (EDA) is the critical first step in data science, where analysts visualize and summarize datasets to uncover patterns, anomalies, and relationships. It uses statistical graphics to guide feature engineering and model selection. Data scientists, business analysts, and machine learning engineers rely on EDA to avoid costly assumptions, making it essential for informed decision-making.
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