MLS-C01 Exploratory Data Analysis Practice Question
A data scientist wants to understand the relationship between a categorical feature with 3 levels and a continuous target variable. Which visualization is most appropriate?
⚠ Common exam trap
Candidates often confuse the purpose of a scatter plot (for two continuous variables) with the need to compare a continuous variable across categories, leading them to choose Option D instead of recognizing that a grouped box plot is the standard tool for this task.
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
✓
Box plot grouped by category
A box plot grouped by category (Option C) is the most appropriate visualization because it directly compares the distribution of a continuous target variable across the three levels of a categorical feature. It displays median, quartiles, and potential outliers for each group, making it ideal for understanding central tendency, spread, and skewness in a side-by-side comparison.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Correlation matrix
Why it's wrong here
Correlation is for continuous variables, not categorical.
- ✗
Line chart
Why it's wrong here
Line charts are for time series or ordered data.
- ✓
Box plot grouped by category
Why this is correct
Box plots compare distributions across categories.
- ✗
Scatter plot
Why it's wrong here
Scatter plots are for two continuous variables.
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