DA0-002 Visualization and Reporting Practice Question
A data analyst needs to display the distribution of customer ages in a dataset containing 10,000 records. Which TWO chart types are appropriate? (Choose two.)
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
A box plot (A) is appropriate because it summarizes the distribution of a continuous numeric variable like age using the median, quartiles, and potential outliers, giving a compact view of spread and skew across the 10,000 records. A histogram (C) is also appropriate because it bins the continuous age values into intervals and displays frequency counts, directly revealing the shape, center, and spread of the age distribution. A pie chart (B) is unsuitable because it shows parts of a whole for categorical data and cannot represent a continuous distribution of ages. A bar chart (D) is meant for comparing frequencies of discrete categories rather than showing the shape of a continuous distribution. A line chart (E) is designed to show trends over an ordered sequence such as time, not the distribution of a single numeric variable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Box plot
Why this is correct
A box plot summarises a numeric distribution through quartiles, median and outliers, making it suitable for comparing age spread across groups. With 10,000 records it condenses the data effectively, satisfying the requirement to display distribution rather than individual values.
- ✗
Pie chart
Why it's wrong here
A pie chart encodes each age as a separate slice, so 10,000 records collapse into unreadable slivers and it cannot show a continuous distribution's shape. It is tempting for showing proportions of a whole, and would be correct for a handful of categories such as five subscription tiers.
- ✓
Histogram
Why this is correct
A histogram bins continuous numeric values such as age into intervals and plots frequency per bin, directly revealing the distribution's shape, skew and modality. This satisfies the requirement to display the distribution of 10,000 age records compactly.
- ✗
Bar chart
Why it's wrong here
A bar chart plots a value per discrete category, so binning ages into ranges is required before it shows distribution shape; it does not natively represent a continuous variable across 10,000 records. It is tempting because bars suit counts, and would be correct for comparing totals across nominal categories like regions.
- ✗
Line chart
Why it's wrong here
A line chart plots values against a continuous axis to show trends over an ordered sequence such as time, so it cannot represent the frequency distribution of ages across 10,000 records. It is tempting because line charts are the standard choice for time-series data, where each point connects to the next to reveal movement.
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