• Like
  • Save
Gmcghee bayvis meetup_111027
Upcoming SlideShare
Loading in...5
×
 

Gmcghee bayvis meetup_111027

on

  • 776 views

Presentation slides:Telling Stories with Data

Presentation slides:Telling Stories with Data

Geoff McGhee is the Creative Director of Media and Communications and a former John S. Knight Journalism fellow at Stanford University.

Statistics

Views

Total Views
776
Views on SlideShare
774
Embed Views
2

Actions

Likes
1
Downloads
11
Comments
0

1 Embed 2

http://intrelcomm.wordpress.com 2

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    Gmcghee bayvis meetup_111027 Gmcghee bayvis meetup_111027 Presentation Transcript

    • The Role(s) of Data VisualizationGeoff McGheeBay Area Data Visualization Group MeetupOctober 27, 2011
    • Dealing with Data Explosion of Electronic Information • 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 * Exabyte = 1 million terabytes
    • Dealing with Data The Promise of Data Visualization Using the Eye-Brain Connection • 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 possibleMap of New Brainlandby Unit Seven via Flickr
    • 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 examineGoogle N-Gram Viewer • Things that used to be unknown, unknowable, or impractical to know • Less about visualization than the data
    • Visualizing New MirrorVisualization as InformationSan Francisco Cabspotting, Stamen Design, (2006)http://cabspotting.org/client.html
    • Visualizing New MirrorVisualization as Information“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
    • Visualizing New MirrorVisualization as Information“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
    • Visualizing New MirrorVisualization as Information“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/
    • Visualization as MirrorVisualizing New Remix Information“Flickr Flow,” Fernanda Viégas and Martin Wattenberg (2009)http://hint.fm/projects/flickr/
    • Visualization as MirrorVisualizing New Information“GameDay,” Major League Baseball (2011)http://mlb.mlb.com
    • Visualization as MirrorThe Biggest Lies in Online Dating, OK Cupid (2010)http://blog.okcupid.com/index.php/the-biggest-lies-in-online-dating/
    • 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 visGoogle N-Gram Viewer • Story comes later – maybe even because of the visualization
    • 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”
    • Visualization as Remix“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 RemixThe New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
    • Visualization as RemixThe New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
    • Visualization as RemixThe New York Times (2009)http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html
    • 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
    • Visualization for Investigation or Advocacy and AdvocacyThe Washington Post (2010)http://projects.washingtonpost.com/top-secret-america/map/
    • Visualization for Investigation or Advocacy and Advocacy“What They Know,” The Wall Street Journal (2010)http://blogs.wsj.com/wtk/
    • Visualization for Investigation or Advocacy and AdvocacyThe New York Times (2010)http://www.nytimes.com/interactive/2010/07/11/nyregion/20100711-stop-and-frisk.html
    • or AdvocacyVisualization for Investigation and AdvocacyThe Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v
    • or AdvocacyVisualization for Investigation and AdvocacyThe Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v
    • Visualization for Investigation or Advocacy and Advocacy“SourceMap,” MIT (2009)http://www.sourcemap.org/object/tesla-roadster
    • Clarity of Argument
    • Visualization for Investigation or Advocacy and AdvocacyEconomic Policy Institute (2010)http://www.stateofworkingamerica.org/pages/interactive#/?start=1917&end=1918
    • Visualization for Investigation or Advocacy and Advocacy“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
    • Visualization for Investigation or Advocacy and Advocacy“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
    • Visualization for Investigation or Advocacy and Advocacy“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/
    • 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 supplemented by 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 detailsAnalyzing OCR Quality of Newspapers • Ideally, mark and share discoveries within the tool
    • Environment as MirrorVisualization for Exploration“Mapping America: Every City, Every Block,” The New York Times (2010)http://projects.nytimes.com/census/2010/explorer
    • Environment as MirrorVisualization for Exploration“Assessing Digitization Quality,” Bill Lane Center for the American West/University of North Texas (2011)http://mappingtexts.org
    • Environment as MirrorVisualization for Exploration“Mapping the Republic of Letters,”Stanford University (2009-Present)https://republicofletters.stanford.edu/
    • Environment for Exploration
    • Learn More Online…
    • Video Documentary
    • Video Documentary datajournalism.stanford.edu
    • Thanks!geoffmcghee@gmail.com Twitter: @mcgeoff