This approach evaluates raw data at an early stage. It uses charts, summary measures, and simple transformations to highlight important observations. Other techniques in the list focus on goals, time-based comparisons, or relationships among data points, but this technique emphasizes initial evaluation of the underlying dataset.
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What is Exploratory Data Analysis (EDA)?
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Why are visualizations important in Exploratory Data Analysis?
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What types of unusual data points can EDA identify?