Common mistakes in data visualization include misusing pie charts, using misleading axes scales, and including unnecessary embellishments that obscure the data. Effective data visualization focuses on clearly communicating the key messages and considers the audience. Charts should use colors and scales appropriately and focus on conveying meaning over aesthetics. Proper preparation of data and understanding the limitations of visualization tools are important to avoid unintentionally misleading audiences.

1. Common mistakes in data visualization Amedee Van Gasse BarCampGhent3 19 December, 2009

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10. The power of data visualization Chinese proverb: One Picture is Worth Ten Thousand Words

11. The Fast-Food Information Age

12. Pr0n for the stats junk Pointy-Haired Boss

13. Twitter: Infograph of the day ( @bnox )

14. What Makes Good Information Design? Interestingness

15. Function

16. Form

17. Integrity

18. With Great Power... ... Comes Great Responsibility Look for the Hidden Agenda

19. Trust No One

20. Lies, Damned Lies, and Statistics

21. Let's just face it:

22. Why do we lie? Charts, infographics,... are only a simplified representation of a complex reality

23. Compare with maps: they are also (white) lies

24. Used to convice others

25. Because it looks cool

26. Because we don't know any better

27. The axis are (not) your allies Y axis starts at 500. Why 500?

28. Gradients

29. Grey on grey

30. Original chart has animation...

31. Why? December = 1/5 size of January = CRISIS!!!

32. Fear, Uncertainty and Doubt

33. Convince employees of needed budget cuts

34. Or... just blind faith in Excel???

35. What really happened 2008 up to Q3 was an exceptionally good year