Planningness 2010
76
On Data Visualization Michal Migurski, Stamen Design
-
Upload
michal-migurski -
Category
Design
-
view
3.136 -
download
0
description
My talk at the Denver edition of Planningness 2010. These are mostly up for pictures and links; the words are hard to recall after.
Transcript of Planningness 2010
On Data VisualizationMichal Migurski, Stamen Design
StamenEric Rodenbeck
Michal Migurski (me)Shawn Allen
Deborah MonaghanAaron Straup Cope
Geraldine SarmientoPatrick DillonJulie Bottrell
Data is Passive?
“Obtain, scrub, explore, model,
interpret”Hilary Mason and Chris Wiggins
A Taxonomy of Data Sciencehttp://sta.mn/55
“Acquire, parse, filter, mine, represent,
refine, interact”Ben Fry
Computational Information Designhttp://sta.mn/jkc
“Data is the Intel Inside”
Tim O’ReillyWeb 2.0 Manifestohttp://sta.mn/hp8
People are active,Data moves.
1) Fire hoses2) Slow leaks
3) Bending time
“It’s a short jump from numbers to stories”
Kate Lutz(Yesterday)
Fire HosesLive 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
“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
Slow LeaksOfficial sources, the U.S. Census, USGS,
Local government crime data
“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.”
Bending TimeForthcoming work on global
sea level rise for Climate Central
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, and3) Explore an application of visual metaphor and interactive behavior to link that data and brand.
