Exploratory Data Analysis
Before modeling, profile each variable's distribution, missingness, cardinality, and outliers, then examine pairwise relationships to expose data-quality problems and hypotheses. Summary statistics lie without plots (Anscombe's quartet), so EDA interleaves numeric summaries with visual checks.
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Before modeling, profile each variable's distribution, missingness, cardinality, and outliers, then examine pairwise relationships to expose data-quality problems and hypotheses. Summary statistics lie without plots (Anscombe's quartet), so EDA interleaves numeric summaries with visual checks.
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