Explain the process of EDA, which involves visualizing and summarizing data to understand patterns, detect anomalies, and gain insights before diving into modeling.
Exploratory Data Analysis (EDA) Key concepts, workflow, and practical tips for getting insights from raw data. 1. What Is EDA? Aspect Description Goal Discover patterns, spot anomalies, test hypotheses, and check assumptions before formal modeling. Nature Mostly visual and descriptive; statistical summaries complement the visuals. Outcome A set of insights that guide data cleaning, fea...…
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