5.12: Assessments

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Page ID: 58304

Felix Amoruwa
De Anza College

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Learning Objectives

Define EDA and explain its purpose as a preparatory step before formal modeling.
Distinguish between exploratory and confirmatory analysis, and between exploratory and explanatory visualization.
Apply univariate analysis techniques (summary statistics, histograms, box plots) to describe individual variables.
Apply bivariate analysis techniques (scatter plots, correlation, grouped comparisons) to examine relationships.
Describe multivariate EDA methods including PCA, clustering, heatmaps, and scatter plot matrices.
Identify outliers, distribution shapes, and patterns through visual and statistical exploration.

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