DA0-002 Visualization and Reporting Practice Question
An analyst wants to visualize the relationship between advertising spend (x-axis) and revenue (y-axis) for 100 different products. Each product is in one of three categories. Which chart type best displays this data?
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
✓
Scatter plot with points colored by category
A scatter plot with color-coded categories effectively shows relationships between two continuous variables and a third categorical dimension.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Scatter plot with points colored by category
Why this is correct
A scatter plot places advertising spend and revenue on two numeric axes, revealing correlation and outliers across 100 products. Colouring points by category adds a third categorical dimension, exposing whether relationships differ between the three groups — something a line or bar chart cannot convey.
- ✗
Bubble chart
Why it's wrong here
A bubble chart encodes a third variable as bubble size, so category would have to drive size rather than colour, and 100 overlapping bubbles obscure the spend-revenue relationship. It is tempting because bubble charts handle three dimensions, but they suit a continuous third measure, not a categorical one.
- ✗
Stacked bar chart
Why it's wrong here
A stacked bar chart aggregates values into discrete bars, discarding the individual spend-revenue pairing needed to show correlation across 100 products. It is tempting because stacking can represent categories, but it would be correct for comparing totals across groups rather than plotting two continuous variables.
- ✗
Line chart with three lines
Why it's wrong here
A line chart implies continuity, connecting points along an ordered x-axis; advertising spend across 100 discrete products has no sequential progression, so the lines are meaningless. It tempts because line charts suit trends over time. A scatter plot, with points coloured or shaped by category, correctly shows spend-versus-revenue correlation per product.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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