Presentacion de Alastair Dant. The New York Times. Boot camp sobre Periodismo de datos. Venezuela.

1. z
Friday, 1 November 13

2. z
Introducing Data Visualisation
Alastair Dant
Developer / Graphics Editor
Interactive News Desk / NYT Graphics
@ajdant / alastair.dant@nytimes.com
Friday, 1 November 13

3. z
Friday, 1 November 13

4. z
Start With
a Question
Friday, 1 November 13

5. z
Friday, 1 November 13

6. z
Finding a Framework
Friday, 1 November 13

7. standard
process
Friday, 1 November 13
the seven key stages in the life of an
interactive data visualization project

8. ACQUIRE
PARSE
MINE
REFINE
standard
process
Friday, 1 November 13
FILTER
REPRESENT
INTERACT
the seven key stages in the life of an
interactive data visualization project

9. z
Friday, 1 November 13

10. z
Step 1:
Acquire Your Data
Friday, 1 November 13

11. acquire
Friday, 1 November 13
download or requisition from public sources

12. acquire
Friday, 1 November 13
negotiate with private sources

13. acquire
Friday, 1 November 13
liberate via FOI requests

14. acquire
Friday, 1 November 13
record your own data

15. z
Friday, 1 November 13

16. z
Step 2:
Parse Data Into An
Appropriate Structure
Friday, 1 November 13

17. parse
Friday, 1 November 13
recognise source format

18. parse
Friday, 1 November 13
extract what you need

19. parse
Friday, 1 November 13
detect (and enforce) data types

20. abc
123456790
12 June 2007
true / false
parse
Friday, 1 November 13
detect (and enforce) data types

21. parse
Friday, 1 November 13
rearrange into preferred structure

22. z
Friday, 1 November 13

23. z
Step 3:
Filter Data Down to
Just What is Necessary
Friday, 1 November 13

24. filter
Friday, 1 November 13
remove irrelevant data

25. filter
Friday, 1 November 13
remove irrelevant data

26. filter
Friday, 1 November 13
remove incomplete data

27. filter
Friday, 1 November 13
remove incomplete data

28. z
Friday, 1 November 13

29. z
Step 4:
Mine Data to
Extract Insights
Friday, 1 November 13

30. mine
Friday, 1 November 13
group and organize

31. mine
Friday, 1 November 13
calculate aggregates

32. mine
Friday, 1 November 13
determine distributions

33. mine
Friday, 1 November 13
statistical analysis / transformation

34. z
Friday, 1 November 13

35. z
Step 5:
Represent Your
Story in Visual Form
Friday, 1 November 13

36. represent
Friday, 1 November 13
plan your visual: set the scene

37. represent
Friday, 1 November 13
use common building blocks

38. represent
Friday, 1 November 13
encode your data

39. UK
US
represent
Friday, 1 November 13
encode with size

40. represent
Friday, 1 November 13
encode with colour & shade

41. represent
Friday, 1 November 13
encode with shape & iconography

42. represent
Friday, 1 November 13
encode with position

43. represent
Friday, 1 November 13
change over time with animation

44. z
Friday, 1 November 13

45. z
Step 6:
Refine Your Work
Friday, 1 November 13

46. refine
Friday, 1 November 13
Tufte’s maxim

47. refine
Friday, 1 November 13
Tufte’s maxim

48. “Graphical excellence gives the viewer
the greatest number of ideas in the
shortest time with the least ink in the
smallest space”
refine
Friday, 1 November 13
Tufte’s maxim

49. refine
Friday, 1 November 13
increase data ink

50. refine
Friday, 1 November 13
remove chart junk

51. refine
Friday, 1 November 13
infosthetics - colours, typography & layout

52. refine
Friday, 1 November 13
the annotation layer

53. z
Friday, 1 November 13

54. z
Step 7:
Add Interactivity
Friday, 1 November 13

55. interact
Friday, 1 November 13
navigate / explore

56. interact
Friday, 1 November 13
discover via information on demand

57. interact
Friday, 1 November 13
filter what data is visible / in focus

58. interact
Friday, 1 November 13
control the flow of playback

59. interact
Friday, 1 November 13
step through narrative sequences

60. interact
Friday, 1 November 13
the martini glass - guide then explore