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Creative Possibilities in Data Visualization
and Networked Art




Diego Maranan
dmaranan@upou.edu.ph
Faculty of Information and Communication Studies
UP Open University

                                                          Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncom
              I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright ow
                                                                                                                 represent, are identified and referenced clearly, and are used only to illustrat
                                                                             Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncomm
Overview




www.slideshare.net/diegomaranan/sst-sem2-2009
Visualizing Data:
Making Sense of an Information-Rich World
  THIS IS AN
ADVERTISEMENT



                                                                                                                                                                               2
                                       Biomodd [LBA ]
               Ecology + Gaming +
Diego Maranan
dmaranan@upou.edu.ph
               Installation Art + Community
Faculty of Information and Communication Studies
UP Open University
               Interested?
                                       www.biomodd.net
                  `


                                                 Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.0 Generic license.
     I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright owners to sell the images or products they
                                                                                                        represent, are identified and referenced clearly, and are used only to illustrate arguments central to this presentation.
                                                                    Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Philippines License.
A quick backgrounder on me
Growing up, I wanted either to compose film music or study the cosmos. In
   college, I became a computer geek who studied contemporary dance.




Art, science, and positive social change have always been important to me.
                         www.diegomaranan.com/CV
IN TER R UP T
     T HI S
   TA L      K
        AT
     ANY
      T IM E
      (I don't mind)
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
data visualization is
a particular way of doing
       information design
“   Information design tells a story with pictures.
    It can tell “how many?” “when?” or “where?”
    It can show trends over time, compare elements or
       reveal hidden patterns.
    It brings form and structure to information.
    It is not the same as graphic design, nor is it only
       about making something aesthetically pleasing.
    It is not about branding, style, making a glossy
       product or something that looks “corporate.”

     From John Emerson. (2008, January). Visualizing Information for Advocacy: An Introduction to Information Design. Tactical
     Technology Collective. Retrieved June 6, 2008, from http://www.tacticaltech.org/infodesign Visualizing Information for
     Advocacy: An Introduction to Information Design is licensed under a Commons Attribution-Share Alike 3.0 License.
“   Clear
    It makes complex information easier to
    understand.
    Compelling
    Visuals grab people’s attention.
    Convincing
    People who might not be persuaded by raw
    numbers or statistics may be more likely to
    understand and believe what they see in a
    chart or graphic.
    From John Emerson. (2008, January). Visualizing Information for Advocacy: An Introduction to Information Design. Tactical
    Technology Collective. Retrieved June 6, 2008, from http://www.tacticaltech.org/infodesign Visualizing Information for
    Advocacy: An Introduction to Information Design is licensed under a Commons Attribution-Share Alike 3.0 License.
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
The US news media dedicates a
disproportionate amount of attention
     to stories about the US and Iraq.

                                         The world map redrawn
                                         according to the number of
                                         seconds US network and cable
                                         news organizations devoted to
                                         news items for each country in
                                         February 2007.




                                         Alisa Miller. (2007). Why we* know less than ever about the world,
                                         TED2008. Monterey, California. Retrieved July 11, 2008, from
                                         www.ted.com/index.php/talks/alisa_miller_shares_the_news_abou
                                         t_the_news.html. * “we” = “Americans”, of course.
In 2006, only the US, the UK, and Israel did not support “an
   immediate cessation of hostilities in the Middle East.”
         Belfast Telegraph (2006, July), reproduced by John Emerson in Visualizing Information for Advocacy: An Introduction to Information
                                               Design. (2008, January). Tactical Technology Collective.
Details of each
                                      demonstration are
                                      filed on Google
                                      Maps.
                                      Alternative ASEAN Network on Burma. Map of
                                      demonstrations August-September 2007 - ALTSEAN
                                      Burma. ALTSEAN-BURMA. Retrieved July 15, 2008,
                                      from
                                      http://www.altsean.org/Photogalleries/ProtestsMap.p
                                      hp.




Between August and September 2007,
 over 60 demonstrations were staged
   across Myanmar in response to
      oppressive state policies.
The US is the leading an economic
                      superpower.

                                    The names of US
                                    states have been
                                    replaced with
                                    countries that
                                    have similar GDPs.


                                    Froz Gobo. (2007, June 27). Much Better.
                                    apostropher.

                                    Retrieved July 14, 2008, from
                                    http://www.apostropher.com/blog/archives/003827.
                                    html. See also
                                    http://strangemaps.wordpress.com/2007/06/10/131
                                    -us-states-renamed-for-countries-with-similar-gdps/
An interactive and
                                              “subjective history
                                              of the Israeli-
                                              Palestinian conflict
                                              composed of
                                              historical and
                                              personal events”
                                              as recounted by
                                              participants of the
                                              project.
                                              Just Vision. Timeline. Just Vision. Retrieved July 15,
                                              2008, from http://justvision.org/en/timeline.



  The Israel-Palestine conflict is long and
      complex. It is made up of countless
individuals who each have a story to tell.
Every community defines a
concept in its own way.




UP Open University. quot;What is Multimedia?quot;
MMS100: Introduction to Multimedia Studies (1st Semester, 2008).
Retrieved July 14, 2008, from http://sites.google.com/a/upou.edu.ph/mms100/course-outline/sfg987srtew4rtf/whatismultimediaresults.
Someone                                                                                                             How they
  blogging                                                                                                           felt about it
about getting
  dumped                                                                                                             (Generally, not good)




                                                              `



                                                                                                                       When it
                                                                                                                      happened

      whoa




             There's a lot of heartache out there.
                Golan Levin, Kamal Nigam, & Jonathan Feinberg. (2006, February 14). The Dumpster. Retrieved May 3,
                                  2008, from http://www.tate.org.uk/netart/bvs/thedumpster.htm.
Users can construct
                                         their own maps by
                                         placing, removing, and
                                         rearranging institutions
                                         and individuals
                                         associated with claims
                                         that anthropogenic
                                         climate change is not a
                                         cause for concern. The
                                         interface allows users
                                         to explore for
                                         themselves
                                         relationships between
    Powerful interests are connected     the petroleum industry,
        through complex networks of      various think tanks, and
                                         Greenpeace. Exxon Secrets. Exxonsecrets.org.
                                         Retrieved July 14, 2008, from
                                         the US government.
influence that significantly affect US
                                         http://www.exxonsecrets.org/maps.php.



public policy around climate change.
The world is
increasingly connected.
                          “This visualization [...] using
                          Processing shows the
                          conversations of about 1500
                          users from the microblogging
                          service Twitter. The arcs [...]
                          link the locations of users
                          who talk to each other. The
                          geocoding was done filtering
                          location info from the users
                          profile pages and looking it
                          up with Geonames.”
                          Walter Rafelsberger. (2008). Twitter Conversations
                          Map. visualcomplexity.com. Retrieved July 15, 2008,
                          from
                          http://www.visualcomplexity.com/vc/project_details.cf
                          m?id=600&index=600&domain=.
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
HOW A VISUALIZATION
    FACILITATES LEARNING
                 Simplifies

      MAKING SENSE OF KNOWLEDGE DOMAINS
    CHARACTERIZED BY LARGE AMOUNTS OF DATA

           Uncovers complexity

         CHALLENGING STEOREOTYPES AND
            “SIMPLISTIC EITHER-ORS”*

     Uncovers complexity, but then
      identifies hidden patterns
`
     CREATING MAJOR SHIFTS IN CONSCIOUSNESS
USER INTERACTIVITY
    Interactive

    PERMITS GRADUAL DISCLOSURE
    GOOD FOR UNCOVERING COMPLEXITY
    USERS ARE IN CONTROL OF THEIR LEARNING
    DESIGN SHOULD IMPLY PROMISE OF NEW DISCOVERIES
    GENERALLY REQUIRES MORE SOPHISTICATED
       AUTHORING TOOLS
    GENERALLY MORE DIFFICULT TO MAKE


    Non-interactive

    INSTANTANEOUS LEARNING GRATIFICATION
    SUITABLE FOR SIMPLIFYING
    DESIGNER CONTROLS DISCLOSURE OF INFORMATION
`   MORE CONVENTIONAL AUTHORING TOOLS ARE USUALLY
       SUFFICIENT
    GENERALLY EASIER TO MAKE
WHAT THEY REVEAL
    Very large or very small values

    Unexpected relationships

    Unusual statistical
    distributions




`
DATA SOURCES
    Uses (or could use) data that
    changes over time

    USER-GENERATED CONTENT
    SYSTEMS THAT CONTINUOUSLY AND AUTOMATICALLY
    GENERATE DATA


    Data remains fixed


`
TOOLS USED TO AUTHOR
    THEM
    Desktop publishing programs
    MS WORD, MS EXCEL, OPEN OFFICE


    Image editing and layout
    software
    ADOBE PHOTOSHOP, ADOBE INDESIGN, COREL


    Web 2.0 tools aimed for
    “average” web user
    GOOGLE MAPS, MANY EYES


    Specialized design tools
    FLASH, COURSELAB, SOCIAL ACTION
`
    Highly specialized, highly
    flexible visualization
    authoring tools
    PROCESSING, VVVV, VTK
Can represent data that
         changes over time
Draws reader in through the
  power of design: “It must
             be important”
Interactivity supports user-
          centered learning
                      Mapping Glovalization Project
                http://qed.princeton.edu/main/MG
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
The Internet
on Jan 16, 2005
www.opte.org
My facebook network
generated using http://nexus.ludios.net


                  Social Networks (1)




                                          Social networking
Subgroups in my network

      Social Networks: Linking
nodes
            connecting
            subgroups



orphaned
nodes and
subgroups
Open Source Dance
     http://www.slideshare.net/diegomaranan/open-source-dance-presentation/




Building dance communities through sharing Creative Commons-
  licensed choreography and tracking the flow of choreographic
                 ideas across dance communities
Visualizing Philippine
                Cinema
http://www.slideshare.net/diegomaranan/proposal-for-a-portal-to-philippine-cinema-using-data-
                             visualization-techniques-presentation/




 Facilitating insights into independent cinemas in the Philippines
  (but can be extended easily to cover global cinemas) using data
  publicly available on the web and data visualization techniques
The Apology Project
http://sites.google.com/site/diegomarananprojects/todo/on-hold/The-Apology-Project




                 A Web 2.0 site for public apologies
ANOTHER
ADVERTISEMENT




           Open Source Dance
          The Apology Project
Visualizing Philippine Cinema
                Web developers needed!
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
Visualizing data is
 not an unproblematic activity.
Methods used

  IN GENERATING AND COLLECTING DATA,
IN CHOOSING APPROPRIATE VISUAL ELEMENTS,
   OR IN DISSEMINATING A VISUALIZATION


 can be subject to debate.
Data visualization assumes the presence of
●


    data
    Broad strokes might miss important details
●


    (which is why interactivity is important)
    All the visual cleverness might eventually
●


    become tiring. (“I'm skeptical of shapes.”)
But work in data visualization can be
 an interdisciplinary activity, where
               experts

                IN DESIGN,
               IN EDUCATION,
             IN SOCIAL SCIENCE,
            AND IN TECHNOLOGY


contribute best practices in the spirit
 of free inquiry, openness, and trust.
Visualizing data is
 not an unproblematic activity.

But that's OK.
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
(Visualizing Noli)
(Hans Rosling)
(Chris Jordan)




                     Thanks to Ed Maranan for helping me out with this
Tons of examples on www.visualcomplexity.com and
             processing.org/exhibition
Collaboration and Productivity, Onboarding,
●


    Training
    Archiving
●



    Basic Education
●



    Raising the cool factor of your web presence
●



    Maximing your investment on the web
●


    presence by understanding user behavior on
    your website
    Grassroots advocacy, activism, information
●


    campaigns
    Personal use: Coping with information
●


    overload
    ++
●
When you want to say something radically
 different, or when you uncover information
 that is potentially dangerous to the status
 quo,


say what you want to say in the most
  aesthetically stunning, quantitatively sound
  way possible.
What data visualization is
             Examples: 1
       General Features
             Examples: 2
                  Caveats
             Examples: 3
              Now what?
1) Join the Information Design for Social Change email list.
  groups.google.com/group/disenyo
2) Try it yourself. Graph your social network on Facebook
  on www.nexus.ludios.net. Or try out Many Eyes:
  www.manyeyes.alphaworks.ibm.com/manyeyes
3) Read up more about it on the Web: www.delicious.com/
  dmaranan/visualization
4) Read books and journal articles about data visualization:
  wednesdaysmnlove.blogspot.com/2008/10/list-of-
  readings.html
5) Go to a school that teaches you more about it.
  Look for buzzwords like Aesthetic Technologies,
  Computational Aesthetics, Computational Design,
  Information Design
Recap
Visualizing Data:
Making Sense of an Information-Rich World
 LAST REMINDER!




                                                                                                                                                                              2
                                      Biomodd [LBA ]
               Ecology + Gaming +
Diego Maranan
dmaranan@upou.edu.ph
               Installation Art + Community
Faculty of Information and Communication Studies
UP Open University
               Interested?
                                      www.biomodd.net
                 `

                                                Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.0 Generic license.
    I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright owners to sell the images or products they
                                                                                                       represent, are identified and referenced clearly, and are used only to illustrate arguments central to this presentation.
                                                                   Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Philippines License.
“Good art renders the invisible, visible.”

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Creative Possibilities in Data Visualization and Networked Art

  • 1. Creative Possibilities in Data Visualization and Networked Art Diego Maranan dmaranan@upou.edu.ph Faculty of Information and Communication Studies UP Open University Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncom I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright ow represent, are identified and referenced clearly, and are used only to illustrat Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncomm
  • 3. Visualizing Data: Making Sense of an Information-Rich World THIS IS AN ADVERTISEMENT 2 Biomodd [LBA ] Ecology + Gaming + Diego Maranan dmaranan@upou.edu.ph Installation Art + Community Faculty of Information and Communication Studies UP Open University Interested? www.biomodd.net ` Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.0 Generic license. I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright owners to sell the images or products they represent, are identified and referenced clearly, and are used only to illustrate arguments central to this presentation. Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Philippines License.
  • 4. A quick backgrounder on me Growing up, I wanted either to compose film music or study the cosmos. In college, I became a computer geek who studied contemporary dance. Art, science, and positive social change have always been important to me. www.diegomaranan.com/CV
  • 5. IN TER R UP T T HI S TA L K AT ANY T IM E (I don't mind)
  • 6. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 7. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 8. data visualization is a particular way of doing information design
  • 9. Information design tells a story with pictures. It can tell “how many?” “when?” or “where?” It can show trends over time, compare elements or reveal hidden patterns. It brings form and structure to information. It is not the same as graphic design, nor is it only about making something aesthetically pleasing. It is not about branding, style, making a glossy product or something that looks “corporate.” From John Emerson. (2008, January). Visualizing Information for Advocacy: An Introduction to Information Design. Tactical Technology Collective. Retrieved June 6, 2008, from http://www.tacticaltech.org/infodesign Visualizing Information for Advocacy: An Introduction to Information Design is licensed under a Commons Attribution-Share Alike 3.0 License.
  • 10. Clear It makes complex information easier to understand. Compelling Visuals grab people’s attention. Convincing People who might not be persuaded by raw numbers or statistics may be more likely to understand and believe what they see in a chart or graphic. From John Emerson. (2008, January). Visualizing Information for Advocacy: An Introduction to Information Design. Tactical Technology Collective. Retrieved June 6, 2008, from http://www.tacticaltech.org/infodesign Visualizing Information for Advocacy: An Introduction to Information Design is licensed under a Commons Attribution-Share Alike 3.0 License.
  • 11. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 12. The US news media dedicates a disproportionate amount of attention to stories about the US and Iraq. The world map redrawn according to the number of seconds US network and cable news organizations devoted to news items for each country in February 2007. Alisa Miller. (2007). Why we* know less than ever about the world, TED2008. Monterey, California. Retrieved July 11, 2008, from www.ted.com/index.php/talks/alisa_miller_shares_the_news_abou t_the_news.html. * “we” = “Americans”, of course.
  • 13. In 2006, only the US, the UK, and Israel did not support “an immediate cessation of hostilities in the Middle East.” Belfast Telegraph (2006, July), reproduced by John Emerson in Visualizing Information for Advocacy: An Introduction to Information Design. (2008, January). Tactical Technology Collective.
  • 14. Details of each demonstration are filed on Google Maps. Alternative ASEAN Network on Burma. Map of demonstrations August-September 2007 - ALTSEAN Burma. ALTSEAN-BURMA. Retrieved July 15, 2008, from http://www.altsean.org/Photogalleries/ProtestsMap.p hp. Between August and September 2007, over 60 demonstrations were staged across Myanmar in response to oppressive state policies.
  • 15. The US is the leading an economic superpower. The names of US states have been replaced with countries that have similar GDPs. Froz Gobo. (2007, June 27). Much Better. apostropher. Retrieved July 14, 2008, from http://www.apostropher.com/blog/archives/003827. html. See also http://strangemaps.wordpress.com/2007/06/10/131 -us-states-renamed-for-countries-with-similar-gdps/
  • 16. An interactive and “subjective history of the Israeli- Palestinian conflict composed of historical and personal events” as recounted by participants of the project. Just Vision. Timeline. Just Vision. Retrieved July 15, 2008, from http://justvision.org/en/timeline. The Israel-Palestine conflict is long and complex. It is made up of countless individuals who each have a story to tell.
  • 17. Every community defines a concept in its own way. UP Open University. quot;What is Multimedia?quot; MMS100: Introduction to Multimedia Studies (1st Semester, 2008). Retrieved July 14, 2008, from http://sites.google.com/a/upou.edu.ph/mms100/course-outline/sfg987srtew4rtf/whatismultimediaresults.
  • 18. Someone How they blogging felt about it about getting dumped (Generally, not good) ` When it happened whoa There's a lot of heartache out there. Golan Levin, Kamal Nigam, & Jonathan Feinberg. (2006, February 14). The Dumpster. Retrieved May 3, 2008, from http://www.tate.org.uk/netart/bvs/thedumpster.htm.
  • 19. Users can construct their own maps by placing, removing, and rearranging institutions and individuals associated with claims that anthropogenic climate change is not a cause for concern. The interface allows users to explore for themselves relationships between Powerful interests are connected the petroleum industry, through complex networks of various think tanks, and Greenpeace. Exxon Secrets. Exxonsecrets.org. Retrieved July 14, 2008, from the US government. influence that significantly affect US http://www.exxonsecrets.org/maps.php. public policy around climate change.
  • 20. The world is increasingly connected. “This visualization [...] using Processing shows the conversations of about 1500 users from the microblogging service Twitter. The arcs [...] link the locations of users who talk to each other. The geocoding was done filtering location info from the users profile pages and looking it up with Geonames.” Walter Rafelsberger. (2008). Twitter Conversations Map. visualcomplexity.com. Retrieved July 15, 2008, from http://www.visualcomplexity.com/vc/project_details.cf m?id=600&index=600&domain=.
  • 21. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 22. HOW A VISUALIZATION FACILITATES LEARNING Simplifies MAKING SENSE OF KNOWLEDGE DOMAINS CHARACTERIZED BY LARGE AMOUNTS OF DATA Uncovers complexity CHALLENGING STEOREOTYPES AND “SIMPLISTIC EITHER-ORS”* Uncovers complexity, but then identifies hidden patterns ` CREATING MAJOR SHIFTS IN CONSCIOUSNESS
  • 23. USER INTERACTIVITY Interactive PERMITS GRADUAL DISCLOSURE GOOD FOR UNCOVERING COMPLEXITY USERS ARE IN CONTROL OF THEIR LEARNING DESIGN SHOULD IMPLY PROMISE OF NEW DISCOVERIES GENERALLY REQUIRES MORE SOPHISTICATED AUTHORING TOOLS GENERALLY MORE DIFFICULT TO MAKE Non-interactive INSTANTANEOUS LEARNING GRATIFICATION SUITABLE FOR SIMPLIFYING DESIGNER CONTROLS DISCLOSURE OF INFORMATION ` MORE CONVENTIONAL AUTHORING TOOLS ARE USUALLY SUFFICIENT GENERALLY EASIER TO MAKE
  • 24. WHAT THEY REVEAL Very large or very small values Unexpected relationships Unusual statistical distributions `
  • 25. DATA SOURCES Uses (or could use) data that changes over time USER-GENERATED CONTENT SYSTEMS THAT CONTINUOUSLY AND AUTOMATICALLY GENERATE DATA Data remains fixed `
  • 26. TOOLS USED TO AUTHOR THEM Desktop publishing programs MS WORD, MS EXCEL, OPEN OFFICE Image editing and layout software ADOBE PHOTOSHOP, ADOBE INDESIGN, COREL Web 2.0 tools aimed for “average” web user GOOGLE MAPS, MANY EYES Specialized design tools FLASH, COURSELAB, SOCIAL ACTION ` Highly specialized, highly flexible visualization authoring tools PROCESSING, VVVV, VTK
  • 27. Can represent data that changes over time Draws reader in through the power of design: “It must be important” Interactivity supports user- centered learning Mapping Glovalization Project http://qed.princeton.edu/main/MG
  • 28. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 29. The Internet on Jan 16, 2005 www.opte.org
  • 30. My facebook network generated using http://nexus.ludios.net Social Networks (1) Social networking
  • 31. Subgroups in my network Social Networks: Linking
  • 32. nodes connecting subgroups orphaned nodes and subgroups
  • 33. Open Source Dance http://www.slideshare.net/diegomaranan/open-source-dance-presentation/ Building dance communities through sharing Creative Commons- licensed choreography and tracking the flow of choreographic ideas across dance communities
  • 34. Visualizing Philippine Cinema http://www.slideshare.net/diegomaranan/proposal-for-a-portal-to-philippine-cinema-using-data- visualization-techniques-presentation/ Facilitating insights into independent cinemas in the Philippines (but can be extended easily to cover global cinemas) using data publicly available on the web and data visualization techniques
  • 36. ANOTHER ADVERTISEMENT Open Source Dance The Apology Project Visualizing Philippine Cinema Web developers needed!
  • 37. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 38. Visualizing data is not an unproblematic activity.
  • 39. Methods used IN GENERATING AND COLLECTING DATA, IN CHOOSING APPROPRIATE VISUAL ELEMENTS, OR IN DISSEMINATING A VISUALIZATION can be subject to debate.
  • 40. Data visualization assumes the presence of ● data Broad strokes might miss important details ● (which is why interactivity is important) All the visual cleverness might eventually ● become tiring. (“I'm skeptical of shapes.”)
  • 41. But work in data visualization can be an interdisciplinary activity, where experts IN DESIGN, IN EDUCATION, IN SOCIAL SCIENCE, AND IN TECHNOLOGY contribute best practices in the spirit of free inquiry, openness, and trust.
  • 42. Visualizing data is not an unproblematic activity. But that's OK.
  • 43. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 44. (Visualizing Noli) (Hans Rosling) (Chris Jordan) Thanks to Ed Maranan for helping me out with this
  • 45. Tons of examples on www.visualcomplexity.com and processing.org/exhibition
  • 46. Collaboration and Productivity, Onboarding, ● Training Archiving ● Basic Education ● Raising the cool factor of your web presence ● Maximing your investment on the web ● presence by understanding user behavior on your website Grassroots advocacy, activism, information ● campaigns Personal use: Coping with information ● overload ++ ●
  • 47. When you want to say something radically different, or when you uncover information that is potentially dangerous to the status quo, say what you want to say in the most aesthetically stunning, quantitatively sound way possible.
  • 48. What data visualization is Examples: 1 General Features Examples: 2 Caveats Examples: 3 Now what?
  • 49. 1) Join the Information Design for Social Change email list. groups.google.com/group/disenyo 2) Try it yourself. Graph your social network on Facebook on www.nexus.ludios.net. Or try out Many Eyes: www.manyeyes.alphaworks.ibm.com/manyeyes 3) Read up more about it on the Web: www.delicious.com/ dmaranan/visualization 4) Read books and journal articles about data visualization: wednesdaysmnlove.blogspot.com/2008/10/list-of- readings.html 5) Go to a school that teaches you more about it. Look for buzzwords like Aesthetic Technologies, Computational Aesthetics, Computational Design, Information Design
  • 50. Recap
  • 51. Visualizing Data: Making Sense of an Information-Rich World LAST REMINDER! 2 Biomodd [LBA ] Ecology + Gaming + Diego Maranan dmaranan@upou.edu.ph Installation Art + Community Faculty of Information and Communication Studies UP Open University Interested? www.biomodd.net ` Visualization of del.icio.us tags is courtesy of kaeru on Flickr.com and is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 2.0 Generic license. I assert that any use of copyrighted images in this presentation constitutes acceptable use because they are low-resolution copies, do not limit in any way the copyright owners to sell the images or products they represent, are identified and referenced clearly, and are used only to illustrate arguments central to this presentation. Non-copyrighted portions of this presentation are licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Philippines License.
  • 52. “Good art renders the invisible, visible.”