gmcghee bayvis meetup_111027

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Geoff McGhee Bay Area Data Visualization Group Meetup October 27, 2011 The Role(s) of Data Visualization

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Presentation slides:Telling Stories with DataGeoff McGhee is the Creative Director of Media and Communications and a former John S. Knight Journalism fellow at Stanford University.

TRANSCRIPT

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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

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• 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

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Roles of Data Visualization

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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

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San Francisco Cabspotting, Stamen Design, (2006)

Visualization as Mirror

http://cabspotting.org/client.html

Visualization as MirrorVisualizing New Information

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“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/

Visualization as MirrorVisualization as MirrorVisualizing New Information

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Visualizing New Information

“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/

Visualization as Mirror

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Visualizing New Information

“Tourists vs. Locals,” Eric Fischer, (2010)http://www.flickr.com/photos/walkingsf/sets/72157624209158632/

Visualization as Mirror

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“Flickr Flow,” Fernanda Viégas and Martin Wattenberg (2009)http://hint.fm/projects/flickr/

Visualization as RemixVisualization as MirrorVisualization as MirrorVisualizing New Information

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Visualization as MirrorVisualization as MirrorVisualizing New Information

http://mlb.mlb.com

“GameDay,” Major League Baseball (2011)

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The Biggest Lies in Online Dating, OK Cupid (2010)

http://blog.okcupid.com/index.php/the-biggest-lies-in-online-dating/

Visualization as Mirror

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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

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The Remix

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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”

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“Here and There,” Berg Design (2009)

http://berglondon.com/projects/hat/

Visualization as Remix

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“River Maps,” Daniel Huffman (2011)

http://somethingaboutmaps.wordpress.com/river-maps/

Visualization as Remix

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“Map of the Market,” Martin Wattenberg/Smart Money (1998)http://www.smartmoney.com/map-of-the-market/

Visualization as Remix

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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

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Investigation and Advocacy

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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

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The Washington Post (2010)http://projects.washingtonpost.com/top-secret-america/map/

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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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

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The Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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The Sunlight Foundationhttp://influenceexplorer.com/organization/att-inc/d473e580c5684a658b754eb97566cb05?cycle=2010v

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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Clarity of Argument

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Economic Policy Institute (2010)http://www.stateofworkingamerica.org/pages/interactive#/?start=1917&end=1918

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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“Remapping the Debate” Anti-Discrimination Center, (2011)http://remappingdebate.org/

Visualization for Investigation and AdvocacyVisualization for Investigation or Advocacy

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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

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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

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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)

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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)

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Visualization as MirrorVisualization as MirrorEnvironment for Exploration

https://republicofletters.stanford.edu/

“Mapping the Republic of Letters,” Stanford University (2009-Present)

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Learn More Online…