Planningness 2010
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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.

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

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Planningness 2010 Planningness 2010 Presentation Transcript

  • On Data Visualization Michal Migurski, Stamen Design
  • Stamen Eric Rodenbeck Michal Migurski (me) Shawn Allen Deborah Monaghan Aaron Straup Cope Geraldine Sarmiento Patrick Dillon Julie Bottrell
  • Data is Passive?
  • “Obtain, scrub, explore, model, interpret” Hilary Mason and Chris Wiggins A Taxonomy of Data Science http://sta.mn/55
  • “Acquire, parse, filter, mine, represent, refine, interact” Ben Fry Computational Information Design http://sta.mn/jkc
  • “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 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
  • 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, 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
  • 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 they seldom if ever have current statistics to share with us.”
  • 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 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.