DA0-002 Data Analysis Practice Question
A data analyst is analyzing survey responses where respondents rated satisfaction on a scale of 1-5. The analyst wants to visualize the distribution of responses. Which chart type is most appropriate?
⚠ Common exam trap
Candidates often confuse a histogram with a bar chart, but the key distinction is that a histogram is used for quantitative (ordinal or continuous) data where bin order matters, while a bar chart is for categorical (nominal) data with no inherent order.
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 most appropriate chart for visualizing the distribution of a single discrete variable, such as satisfaction ratings on a 1-5 scale. It groups the responses into bins (each rating value) and displays the frequency of each bin using bars, clearly showing the shape, central tendency, and spread of the data.
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 median, quartiles and outliers, so it compresses the 1–5 rating frequencies into five statistics and hides the actual distribution shape. It is tempting because box plots compare distributions across groups, which would fit if the analyst needed to contrast satisfaction between segments rather than show one distribution.
- ✗
Scatter plot
Why it's wrong here
A scatter plot positions points on two numeric axes to reveal correlation between paired variables; a single rating variable has no second axis, so it cannot display response frequencies. It is tempting because scatter plots do show spread, but they are correct when relating two continuous measures, such as satisfaction against waiting time.
- ✗
Line chart
Why it's wrong here
A line chart connects points to show change across a continuous sequence, typically time; ordinal satisfaction ratings have no inherent ordering along the x-axis, so the connecting line implies a trend that does not exist. It is tempting because line charts display frequency counts, but they are correct when plotting values over time.
- ✓
Histogram
Why this is correct
A histogram bins the numeric 1–5 ratings into adjacent intervals and plots frequency per bin, directly revealing the distribution's shape, spread and skew. Bar charts suit categorical counts, not ordered numeric scales, so they obscure distributional patterns the analyst needs.
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