DA0-002 Visualization and Reporting Practice Question
Which chart type is best for displaying the distribution of a continuous variable, such as the age distribution of customers?
⚠ Common exam trap
CompTIA Data+ often tests the distinction between a histogram and a bar chart, where candidates mistakenly choose a bar chart (not listed here) or a box plot because they confuse 'distribution' with 'summary statistics' or 'categorical comparison'.
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
✓
Histogram
A histogram is the correct choice because it groups continuous data (like age) into bins along the x-axis and displays the frequency of observations within each bin as bars, making the distribution shape immediately visible. This directly addresses the need to show how customer ages are spread across the range, which is the definition of a distribution for a continuous 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 it's wrong here
A box plot summarises data through quartiles and outliers, but it does not display the full shape of a continuous distribution, such as age frequencies across all values. A histogram is required because it shows the actual count per bin, revealing modality and skew. This option tempts because box plots are standard for comparing distributions across categories, where median and spread are the focus.
- ✗
Line chart
Why it's wrong here
Line charts show trends over time.
- ✓
Histogram
Why this is correct
Histograms show the distribution of a continuous variable by binning data.
- ✗
Pie chart
Why it's wrong here
Pie charts show categorical proportions.
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