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Exploratory Data Analysis (EDA)
Systematically explore a new dataset before drawing any conclusions.
Inside this lesson
- Inspect dataset shape, data types, and missingness to assess structure and quality
- Calculate and interpret summary statistics for central tendency and spread
- Examine variable distributions and spot-check potential outliers using visual and numeric heuristics
- Form tentative hypotheses from observed patterns without over-claiming conclusions
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Educational training content only - not professional, financial, legal, or data-governance advice, and not a promise of any business or analytical result. Examples are illustrative and use hypothetical data with stated assumptions and units. Third-party names are descriptive and imply no affiliation.