On Data Visualization
   Michal Migurski, Stamen Design
Stamen
  Eric Rodenbeck
Michal Migurski (me)
    Shawn Allen
Deborah Monaghan
Aaron Straup Cope
Geraldine Sarmiento
   Pat...
Data is Passive?
“Obtain, scrub,
explore, model,
  interpret”
Hilary Mason and Chris Wiggins
 A Taxonomy of Data Science
        http://sta...
“Acquire, parse,
filter, mine, represent,
   refine, interact”
               Ben Fry
   Computational Information Design
  ...
“Data is the
Intel Inside”
    Tim O’Reilly
 Web 2.0 Manifesto
 http://sta.mn/hp8
People are active,
  Data moves.
      1) Fire hoses
      2) Slow leaks
     3) Bending time
“It’s a short jump from
 numbers to stories”
         Kate Lutz
        (Yesterday)
Fire Hoses
Live online services,
like Digg and Twitter
“The obvious sticking point … seems to be
about new media and old. No one is surprised
at frantic cell phone calls in a ho...
http://sta.mn/rz
http://sta.mn/rz
http://sta.mn/rz
http://sta.mn/rz
http://sta.mn/8sg
http://sta.mn/23
http://sta.mn/yqz
“Weird Poetry”
   “Right this second as I type this—ask in
60 seconds and it will have changed—there is
 a box that says, ...
http://sta.mn/pp
Slow Leaks
Official sources, the U.S. Census, USGS,
     Local government crime data
http://sta.mn/gj
http://sta.mn/3jr
http://sta.mn/87
http://sta.mn/mj
http://sta.mn/xt
http://sta.mn/xt
http://sta.mn/sw
“We have a Beat1X NCPC meeting
next week—I'll be able to show up more
  prepared than OPD—our experience
 has been that th...
http://sta.mn/sw
http://sta.mn/sw
http://sta.mn/sw
http://sta.mn/ct
http://sta.mn/ct
http://sta.mn/ct
http://sta.mn/ct
http://sta.mn/ct
http://sta.mn/ct
Bending Time
  Forthcoming work on global
sea level rise for Climate Central
Participation…
    (thank you)
Data & Questions
· Twitter Messages
· Foursquare Check-ins
· Point-of-Sale Transactions
· Block-Level Demographics
· Yelp ...
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Planningness 2010

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

Published in: Design

Planningness 2010

  1. 1. On Data Visualization Michal Migurski, Stamen Design
  2. 2. Stamen Eric Rodenbeck Michal Migurski (me) Shawn Allen Deborah Monaghan Aaron Straup Cope Geraldine Sarmiento Patrick Dillon Julie Bottrell
  3. 3. Data is Passive?
  4. 4. “Obtain, scrub, explore, model, interpret” Hilary Mason and Chris Wiggins A Taxonomy of Data Science http://sta.mn/55
  5. 5. “Acquire, parse, filter, mine, represent, refine, interact” Ben Fry Computational Information Design http://sta.mn/jkc
  6. 6. “Data is the Intel Inside” Tim O’Reilly Web 2.0 Manifesto http://sta.mn/hp8
  7. 7. People are active, Data moves. 1) Fire hoses 2) Slow leaks 3) Bending time
  8. 8. “It’s a short jump from numbers to stories” Kate Lutz (Yesterday)
  9. 9. Fire Hoses Live online services, like Digg and Twitter
  10. 10. “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
  11. 11. http://sta.mn/rz
  12. 12. http://sta.mn/rz
  13. 13. http://sta.mn/rz
  14. 14. http://sta.mn/rz
  15. 15. http://sta.mn/8sg
  16. 16. http://sta.mn/23
  17. 17. http://sta.mn/yqz
  18. 18. “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
  19. 19. http://sta.mn/pp
  20. 20. Slow Leaks Official sources, the U.S. Census, USGS, Local government crime data
  21. 21. http://sta.mn/gj
  22. 22. http://sta.mn/3jr
  23. 23. http://sta.mn/87
  24. 24. http://sta.mn/mj
  25. 25. http://sta.mn/xt
  26. 26. http://sta.mn/xt
  27. 27. http://sta.mn/sw
  28. 28. “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.”
  29. 29. http://sta.mn/sw
  30. 30. http://sta.mn/sw
  31. 31. http://sta.mn/sw
  32. 32. http://sta.mn/ct
  33. 33. http://sta.mn/ct
  34. 34. http://sta.mn/ct
  35. 35. http://sta.mn/ct
  36. 36. http://sta.mn/ct
  37. 37. http://sta.mn/ct
  38. 38. Bending Time Forthcoming work on global sea level rise for Climate Central
  39. 39. Participation… (thank you)
  40. 40. 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.

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