My talk at the Denver edition of Planningness 2010. These are mostly up for pictures and links; the words are hard to recall after.

1. On Data Visualization
Michal Migurski, Stamen Design

2. Stamen
Eric Rodenbeck
Michal Migurski (me)
Shawn Allen
Deborah Monaghan
Aaron Straup Cope
Geraldine Sarmiento
Patrick Dillon
Julie Bottrell

6. Data is Passive?

7. “Obtain, scrub,
explore, model,
interpret”
Hilary Mason and Chris Wiggins
A Taxonomy of Data Science
http://sta.mn/55

8. “Acquire, parse,
filter, mine, represent,
refine, interact”
Ben Fry
Computational Information Design
http://sta.mn/jkc

9. “Data is the
Intel Inside”
Tim O’Reilly
Web 2.0 Manifesto
http://sta.mn/hp8

13. People are active,
Data moves.
1) Fire hoses
2) Slow leaks
3) Bending time

14. “It’s a short jump from
numbers to stories”
Kate Lutz
(Yesterday)

15. Fire Hoses
Live online services,
like Digg and Twitter

16. “The obvious sticking point … seems to be
about new media and old. No one is surprised
at frantic cell phone calls in a hospital waiting
room, but apparently button mashing on a
cellphone to alert friends via text to twitter
is a surprise, simply because it is new.”
—Matt Haughey, http://sta.mn/4h

17. http://sta.mn/rz

18. http://sta.mn/rz

19. http://sta.mn/rz

20. http://sta.mn/rz

21. http://sta.mn/8sg

22. http://sta.mn/23

23. http://sta.mn/yqz

24. “Weird Poetry”
“Right this second as I type this—ask in
60 seconds and it will have changed—there is
a box that says, in words of decreasing size,
“Curling pants Norwegian Olympic Olympics
team.” We’re not the only ones who are
fascinated by those pants, to say the least.”
—Linda Holmes, NPR, http://sta.mn/b8

25. http://sta.mn/pp

40. Slow Leaks
Official sources, the U.S. Census, USGS,
Local government crime data

41. http://sta.mn/gj

42. http://sta.mn/3jr

43. http://sta.mn/87

44. http://sta.mn/mj

45. http://sta.mn/xt

46. http://sta.mn/xt

48. http://sta.mn/sw

49. “We have a Beat1X NCPC meeting
next week—I'll be able to show up more
prepared than OPD—our experience
has been that they seldom if ever have
current statistics to share with us.”

50. http://sta.mn/sw

51. http://sta.mn/sw

52. http://sta.mn/sw

60. http://sta.mn/ct

61. http://sta.mn/ct

62. http://sta.mn/ct

63. http://sta.mn/ct

64. http://sta.mn/ct

65. http://sta.mn/ct

66. Bending Time
Forthcoming work on global
sea level rise for Climate Central

73. Participation…
(thank you)

74. Data & Questions
· Twitter Messages
· Foursquare Check-ins
· Point-of-Sale Transactions
· Block-Level Demographics
· Yelp Listings
1) Pick a data source above,
2) Name a “fallen” brand/company/client, and
3) Explore an application of visual metaphor
and interactive behavior to link that data and
brand.