MLS-C01 Exploratory Data Analysis Practice Question
A data analyst is exploring a dataset and wants to identify outliers in a numerical feature. Which visualization technique is most effective for detecting outliers?
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
Box plot. A box plot is specifically designed to show quartiles and highlight outliers as points beyond the whiskers. A line chart (A) is for trends over time, a histogram (B) shows distribution but does not isolate outliers, and a scatter plot (C) is for bivariate relationships.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Line chart
Why it's wrong here
Line charts are for trends over time, not for outlier detection in a single variable.
- ✗
Histogram
Why it's wrong here
Histograms show distribution but outliers may be in bins with few counts, not as clearly as box plots.
- ✗
Scatter plot
Why it's wrong here
Scatter plots show relationships between two variables, not univariate outliers.
- ✓
Box plot
Why this is correct
Box plots display outliers as individual points outside the whiskers.
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