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Core ML Concepts · beginner · concept 17 of 311 · Updated Nov 4, 2026

Exploratory Data Analysis (EDA)

The discipline of looking at the data before modeling it: distributions, missing values, outliers, correlations, and the weird rows that reveal how the data was actually collected. An hour of EDA routinely saves a week of debugging a model trained on data you did not understand.

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Key terms

DistributionsOutliersMissing valuesCorrelation matrixData profiling

Where you meet it in the real world

The first day of every real ML project; where data leakage and label problems get caught early

Videos

▶ Exploratory Data Analysis ↗

IBM Technology · YouTube