MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is exploring a dataset and wants to understand the distribution of a continuous feature. Which visualization is most appropriate for identifying skewness and potential 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
(bar chart) is wrong because bar charts are for categorical data, not for showing distribution of a continuous feature. Option B (scatter plot) is wrong because scatter plots show relationships between two variables, not distribution. Option C is correct because a box plot explicitly shows median, quartiles, and outliers. Option D is wrong because heatmaps show correlations, not distribution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bar chart
Why it's wrong here
Bar charts are for categorical data, not for showing distribution of a continuous feature.
- ✗
Scatter plot
Why it's wrong here
Scatter plots show relationships between two variables, not distribution.
- ✓
Box plot
Why this is correct
A box plot explicitly shows median, quartiles, and outliers, making it ideal for identifying skewness and potential outliers.
- ✗
Heatmap
Why it's wrong here
Heatmaps show correlations between variables, not the distribution of a single continuous feature.
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