Gmcghee bayvis meetup_111027
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Transcript of Gmcghee bayvis meetup_111027
Geoff McGheeBay Area Data Visualization Group MeetupOctober 27, 2011
The Role(s) of Data Visualization
Dealing with Data
• 2003 estimate: 5 exabytes/day* new info
• Open government/transparency movements
• E-commerce, electronic record-keeping
• Digitization of media (photos, music, books...)
• Remote sensors, RFID tags, POS systems
• Plummeting Cost of Storage
• Data formats (XML, JSON, RDF… ), APIs
• Social media
Explosion of Electronic Information
* Exabyte = 1 million terabytes
• Bypass language centers, go direct to the visual cortex
• Leverage ability to recognize patterns, visual sense-making
• Powerful graphics chips enable animation, live data processing possible
Dealing with Data
Using the Eye-Brain Connection
Map of New Brainland by Unit Seven via Flickr
The Promise of Data Visualization
Roles of Data Visualization
Roles of Data Visualization
Visualizing New Information
• Data that reveals previously unknown insights into patterns of life
• Visualization as a way to “throw things on the wall” and examine
• Things that used to be unknown, unknowable, or impractical to know
• Less about visualization than the data
Google N-Gram Viewer
San Francisco Cabspotting, Stamen Design, (2006)
Visualization as Mirror
http://cabspotting.org/client.html
Visualization as MirrorVisualizing New Information
“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
Visualization as MirrorVisualization as MirrorVisualizing New Information
Visualizing New Information
“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
Visualization as Mirror
Visualizing New Information
“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
Visualization as Mirror
“Flickr Flow,” Fernanda Viégas and Martin Wattenberg (2009)http://hint.fm/projects/flickr/
Visualization as RemixVisualization as MirrorVisualization as MirrorVisualizing New Information
Visualization as MirrorVisualization as MirrorVisualizing New Information
http://mlb.mlb.com
“GameDay,” Major League Baseball (2011)
The Biggest Lies in Online Dating, OK Cupid (2010)
http://blog.okcupid.com/index.php/the-biggest-lies-in-online-dating/
Visualization as Mirror
Roles of Data Visualization
Visualizing New Information
• Can be interactive– frequently not
• “Throw it on the wall”
• Maybe best seen as a “first pass,” a very mature but exploratory vis
• Story comes later – maybe even because of the visualization
Google N-Gram Viewer
The Remix
Roles of Data Visualization
Remix: The Familiar Through a New Lens
• Innovations in graphic display can change how we experience an idea
• Less about data than the visualization
• “Now I see it”
“Here and There,” Berg Design (2009)
http://berglondon.com/projects/hat/
Visualization as Remix
“If San Francisco Crime Was Elevation,” Doug McCune (2010)http://dougmccune.com/blog/2010/06/05/if-san-francisco-crime-was-elevation/
Visualization as Remix
“River Maps,” Daniel Huffman (2011)
http://somethingaboutmaps.wordpress.com/river-maps/
Visualization as Remix
“River Maps,” Daniel Huffman (2011)
http://somethingaboutmaps.wordpress.com/river-maps/
Visualization as Remix
“Dimensions,” BBC and Berg Design (2010)http://howbigreally.com
Visualization as Remix
“Map of the Market,” Martin Wattenberg/Smart Money (1998)http://www.smartmoney.com/map-of-the-market/
Visualization as Remix
The New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
Visualization as Remix
The New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
Visualization as Remix
The New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
Visualization as Remix
Roles of Data Visualization
Remix: The Familiar Through a New Lens
• Can be about storytelling, but more likely: the visual format brings out something new from existing knowledge
• Some of the most artful and striking visualizations come from this category
• Can take more aesthetic risks
Investigation and Advocacy
Roles of Data Visualization
Investigation and Advocacy
• Both an analytical and communications format
• Data mining and analysis help uncover important trends, stories
• Persuasiveness of graphic forms can be used for transparency or persuasion
The Washington Post (2010)http://projects.washingtonpost.com/top-secret-america/map/
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
“What They Know,” The Wall Street Journal (2010)http://blogs.wsj.com/wtk/
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
The New York Times (2010)http://www.nytimes.com/interactive/2010/07/11/nyregion/20100711-stop-and-frisk.html
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
The Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
The Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
“SourceMap,” MIT (2009)http://www.sourcemap.org/object/tesla-roadster
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
Clarity of Argument
Economic Policy Institute (2010)http://www.stateofworkingamerica.org/pages/interactive#/?start=1917&end=1918
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy
Roles of Data Visualization
Investigation and Advocacy
• Storytelling is key
• Ideally about transparency and comprehensiveness (ie whole data set)
• But also about guiding viewer to most salient points to your argument
• Interactivity: linear story supplementedby nonlinear reference
Roles of Data Visualization
Environment for Exploration
• Tool for individual or collective exploration
• Can show same data in multiple dimensions, like time/space
• Search, filter, drill down to details
• Ideally, mark and share discoveries within the tool
Analyzing OCR Quality of Newspapers
Visualization as MirrorVisualization as MirrorEnvironment for Exploration
http://projects.nytimes.com/census/2010/explorer
“Mapping America: Every City, Every Block,” The New York Times (2010)
Visualization as MirrorVisualization as MirrorEnvironment for Exploration
http://mappingtexts.org
“Assessing Digitization Quality,” Bill Lane Center for the American West/University of North Texas (2011)
Visualization as MirrorVisualization as MirrorEnvironment for Exploration
https://republicofletters.stanford.edu/
“Mapping the Republic of Letters,” Stanford University (2009-Present)
Environment for Exploration
Learn More Online…
Video Documentary
datajournalism.stanford.edu