DA0-002 Data Analysis Practice Question
A dataset contains the ages of 100 customers. The analyst wants to transform the ages to a 0-1 range for use in a distance-based algorithm. Which technique should be used?
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
✓
Min-max normalization
Min-max normalization scales features to a fixed range, typically 0-1.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Square root transformation
Why it's wrong here
Square root does not produce a bounded range.
- ✗
Log transformation
Why it's wrong here
Log transformation reduces skew but does not bound to 0-1.
- ✗
Z-score normalization
Why it's wrong here
Z-score standardizes to mean 0 and std 1, not bounded.
- ✓
Min-max normalization
Why this is correct
Min-max scales to a range, e.g., 0-1.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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