MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is visualizing the distribution of a numerical feature that is heavily right-skewed. Which visualization technique is most appropriate?
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 with log scale
A box plot with log scale is effective for skewed data as it shows outliers and distribution shape after transformation. Histogram with log scale also works. KDE is similar to histogram. Q-Q plot checks normality. Scatter plot is for two variables.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Histogram with linear scale
Why it's wrong here
Linear scale on skewed data may compress the distribution.
- ✗
Scatter plot
Why it's wrong here
Scatter plot is for two numerical variables.
- ✓
Box plot with log scale
Why this is correct
Box plot with log scale handles skewness and shows outliers.
- ✗
Q-Q plot
Why it's wrong here
Q-Q plot is for comparing distributions, not primarily for visualization of a single variable.
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