Charts and visual lies
summary
Shows concrete ways charts deceive and how to fix them: truncated y axes that turn a 68 vs 69 CPU score into a huge gap (scale matters, start at zero), cumulative stacking that hides real proportions, Excel auto-connecting lines that mask months with zero alerts, and dual y‑axes that imply false causation. Pulling raw exam data reveals girls in math rise from 43% to 49% (not the claimed 24% increase which double‑counts students). Recommends split charts, thresholds, clear KPIs and numbers alongside color.
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chapters (17)
- 0:00Introduction to data visualization
- 1:57Why charts must tell clear stories
- 2:39Scale matters in chart accuracy
- 4:52How news charts manipulate perception
- 6:41Intentional deception in visuals
- 8:14Common honest chart mistakes
- 10:03Avoid spaghetti and cluttered charts
- 11:29Pie charts and 3D pitfalls
- 13:43Heat maps and color blind traps
- 15:54Grouping charts for clarity
- 16:58KPIs over aesthetics in dashboards
- 17:41Normalizing data for fair comparisons
- 20:10Counting errors in gender stats
- 22:22Best practices for effective charts
- 23:26Data to ink ratio importance
- 24:52Dashboard design focus
- 25:36Q&A on dual-axis charts
