Data Visualization Cheat Sheet 2026

The 30 highest-yield Data Visualization facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. Which color property should be used to encode quantitative magnitude rather than category? → Lightness/Value
2. How many distinct hues should a categorical color palette typically be limited to for clarity? → 6–8
3. Which interaction technique allows users to select a data range by adjusting start and end handles along an axis? → Axis brushing or range slider
4. In Power BI, what is the purpose of a 'bookmark'? → Capture a specific view state of a dashboard for quick navigation or storytelling
5. In a nested format, which approach displays hierarchical data? → Treemaps
6. In data visualization, what does 'luminance' refer to? → The perceived brightness or intensity of a color
7. What does 'staggered animation' mean in the context of data visualization? → Rendering each data element with a slight time delay so elements appear one after another
8. What is a candlestick chart primarily used for? → Financial market price movements
9. What is the recommended maximum number of charts on a single dashboard screen before usability declines? → 5–9
10. What is the primary benefit of using animated transitions between two chart states? → They help users track how individual data elements change from one state to another
11. What are 'pre-attentive attributes' in data visualization? → Visual properties processed by the brain automatically before conscious attention
12. In a data.frame, which of the following lists the names of variables? → quantile()
13. Shneiderman's Information Seeking Mantra states the correct order of interaction as: → Overview first, zoom and filter, then details on demand
14. Why should pie charts avoid using more than 5–6 slices? → Humans struggle to accurately compare small angles and thin slices
15. What is the primary advantage of using Python's Matplotlib library over tools like Tableau? → Full programmatic control and reproducibility in code-based analytical workflows
16. Which of the following statements is incorrect? → Data visualization reduces insights and leads to slower decisions.
17. What is the primary use of a funnel chart in business analytics? → Visualize the progressive reduction of values through sequential stages of a process
18. Which of the following is a tool for determining whether or not something is normal? → qqline()
19. What is Vega-Lite primarily designed for? → A high-level grammar for creating interactive visualizations with minimal code
20. The significance of data visualization is evident in the following paragraphs. → All of the above
21. What is 'data humanism' as described by Giorgia Lupi? → An approach that reconnects data to individual human stories and experiences
22. What visual encoding principle states that elements close together are perceived as belonging to the same group? → Proximity
23. What is a 'ridge plot' (joy plot) most commonly used for? → Showing distributions of a variable across multiple groups using overlapping density plots
24. What is the purpose of a 'date range slicer' on a dashboard? → Allow users to interactively filter all connected charts to a specific time period
25. What is a 'sparkline' in dashboard design? → A small, word-sized trend line embedded inline with text or a metric
26. When would you choose a diverging bar chart over a standard bar chart? → When data has a meaningful midpoint or natural zero
27. What is the main concern with using red-green color schemes in data visualization? → Red-green color blindness affects ~8% of males
28. In dashboard design, what does 'progressive disclosure' mean? → Showing only high-level information initially, with details available on demand
29. What is a 'kernel density estimate' (KDE) plot used for? → Visualizing the probability density function of a continuous variable using a smooth curve
30. Data visualization is also a broader element → data presentation architecture