MLS-C01 Exploratory Data Analysis Practice Question
Which TWO are common steps in exploratory data analysis?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Checking for missing values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Training a machine learning model.
Why it's wrong here
Model training is after EDA.
- ✓
Checking for missing values.
Why this is correct
Missing value analysis is a key step.
- ✓
Visualizing distributions of features.
Why this is correct
Visualization helps understand data.
- ✗
Deploying the model to production.
Why it's wrong here
Deployment is after model building.
- ✗
Tuning hyperparameters.
Why it's wrong here
Hyperparameter tuning is during modeling.
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