DA0-002 Visualization and Reporting Practice Question
A data analyst is creating a dashboard and wants to maximize the data-ink ratio. Which action supports this principle?
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
✓
Removing gridlines and reducing chart borders.
Removing unnecessary gridlines and decorative elements reduces non-data ink, thereby increasing the data-ink ratio. The data-ink ratio is the proportion of ink used to display data versus total ink used in the chart.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Including detailed data tables alongside charts.
Why it's wrong here
Detailed data tables duplicate the quantitative information the charts already encode, adding non-data ink that lowers the data-ink ratio. Tables suit precise value lookup or accessibility alternatives, where exact figures matter more than visual density. Here the stem demands maximising data-ink, so redundant tabular detail works against the stated goal.
- ✓
Removing gridlines and reducing chart borders.
Why this is correct
Removing gridlines and shrinking chart borders eliminates non-data pixels, directly raising the data-ink ratio. Tufte's principle counts every drop of ink that does not encode a data value as waste, so stripping decorative framing and background rules satisfies the stem's constraint of maximising data-ink without altering the plotted values themselves.
- ✗
Using 3D effects to make bars stand out.
Why it's wrong here
3D effects add non-data ink through perspective, shading and depth cues, inflating the ink used without encoding additional values, and they distort bar lengths so comparisons mislead. They are tempting for visual emphasis, but the data-ink principle reserves decoration for cases where aesthetics, not analytical accuracy, drive the design.
- ✗
Adding a background image to make the dashboard visually appealing.
Why it's wrong here
Adding a background image introduces non-data pixels that compete with the plotted values, lowering the data-ink ratio rather than maximising it. Decorative imagery is tempting because it can aid branding or contextual storytelling in executive presentations, but Tufte's principle demands every drop of ink encode information, so the image would be the right choice only when aesthetics outweigh analytical clarity.
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