Exploratory Data Analysis (EDA) is a critical phase in the data analysis process where analysts and data scientists explore and summarize the main characteristics, patterns, and features of a dataset. The primary goal of EDA is to gain a deeper understanding of the data, detect patterns, identify anomalies, and formulate hypotheses. EDA is typically conducted before formal statistical modeling or hypothesis testing, providing valuable insights into the data's structure and behavior.
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