DVUX: Data Visualization and User Experience
summary
Argues DVUX is a core design skill, not decoration, using live Power BI dashboards and demos (Stroop and magnitude tests) to show gauge and donut charts mislead while trellis plot and sparklines clarify; a circle area comparison is shown as perceived vs actual (one circle reads as 16× bigger in the demo), invoking Stevens' power law to explain why length/position beat area or color for quantitative judgments. Recommends patterning work into dashboards, data-query screens, reports and UI components, testing at granular tasks, and hiring or training statisticians.
AI-written summary · about
chapters (18)
- 0:00Start
- 8:11Cognitive Phenomenon: Interference
- 11:24Visual Language: Magnitude Judgements
- 12:16Steven's Power Law
- 13:57Visual Language: Integrating Attributes
- 15:38The Ebbinghaus Illusion
- 15:48Visual Language: The Rules
- 16:08Visual Attributes
- 18:01What approach should we take?
- 20:48Data science is removed from UX
- 23:38Data visualization pattern vocabulary
- 23:59Data query screen
- 24:22Is it really a dashboard?
- 39:09Patterns
- 40:55Research program
- 43:03Hiring and training
- 44:37Think about the skillsets in our profession
- 48:36Recommended Readings
related talks
27mVisual Design - Do not let Data be your cul-de-sac!
10mThe Future of Data Visualization
42mInteractive Data Analysis: Visualization and Beyond
32mData Viz for Engineers: Optimizing Insight & Decision Making Through Visualization
20mearn to make the point: data visualisation strategy
20mLevel-Up Power BI Dashboard Storytelling with DataViz Tools
53mDashboards: interactive data visualization
11mData Visualization & Storytelling