Question 23
UnclassifiedExploratory Data Analysis (EDA) primarily aims to:
Correct answer: B
Explanation
Exploratory Data Analysis is used to "understand data distributions, quality, missingness, and relationships" before building models. It helps identify patterns, outliers, and data issues so the analyst can choose appropriate preprocessing and modeling steps.
Why each option is right or wrong
A. Train the final model
B. Understand data distributions, quality, missingness, and relationships before modeling
EDA is the initial diagnostic stage in the standard data-analysis workflow, used to inspect variable distributions, detect missing values and outliers, and assess pairwise relationships before any model is fit. In practice, this is the step that reveals data quality problems and structural patterns that determine whether transformations, imputation, or feature engineering are needed before modeling.
C. Deploy the model
D. Compute the loss function