MLS-C01 Exploratory Data Analysis Practice Question
A data scientist is performing EDA on a dataset with mixed data types (numerical and categorical). Which TWO visualizations are most appropriate for understanding the distribution of categorical features?
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
✓
Pie chart
Bar charts and pie charts are both effective for visualizing the distribution of categorical features. Bar charts display the count or frequency of each category, while pie charts show the relative proportions. Options A (histogram) and B (box plot) are designed for numerical data, and option D (scatter plot) is for the relationship between two numerical 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
Why it's wrong here
Histograms are for numerical data.
- ✗
Box plot
Why it's wrong here
Box plots are for numerical data.
- ✓
Pie chart
Why this is correct
Pie charts show proportions of categories.
- ✗
Scatter plot
Why it's wrong here
Scatter plots are for two numerical variables.
- ✓
Bar chart
Why this is correct
Bar charts display frequency of categories.
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