Exploratory Data Analysis

Updated 28 Sep 2026

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What it is
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  examining data using summaries and visualizations to understand distributions, relationships, unusual observations, and possible quality problems
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Activities
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  inspect missing values and implausible entries
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  summarize center and spread
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  examine distribution shape
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  compare relevant groups
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  investigate relationships between variables
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Caution
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  exploratory patterns can generate hypotheses; they should not be presented as though they were all specified beforehand
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  unusual observations deserve investigation, not automatic deletion
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Related

Linked references 3