Visualizing Data (Kape + Teknolohiya Version)

1,261 views
1,195 views

Published on

This version I gave during a January 2009 Kape + Teknolohiya at the TechnoHub-AyalaTBI, is taken from the original lecture I gave at UP Open University: http://www.slideshare.net/diegomaranan/20080718mms100lecturecolloquiumpresentation

Published in: Design
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,261
On SlideShare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
47
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Visualizing Data (Kape + Teknolohiya Version)

  1. 1. Visualizing Data: Making Sense of an Information-Rich World 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-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.
  2. 2. Visualizing Data: Making Sense of an Information-Rich World TH I I AN SS ADVERTI SEM EN T 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.
  3. 3. 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
  4. 4. IN TER R UP T T HI S TA L K AT ANY T IM E (I don't mind)
  5. 5. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  6. 6. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  7. 7. data visualization is a particular way of doing information design
  8. 8. “ 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.
  9. 9. “ 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.
  10. 10. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  11. 11. 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.
  12. 12. 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.
  13. 13. 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.
  14. 14. 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/
  15. 15. 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.
  16. 16. 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.
  17. 17. Someone How they felt blogging 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.
  18. 18. 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 the petroleum industry, Powerful interests are connected through various think tanks, and complex networks of influence that the US government. significantly affect US public policy Greenpeace. Exxon Secrets. Exxonsecrets.org. around climate change. Retrieved July 14, 2008, from http://www.exxonsecrets.org/maps.php.
  19. 19. 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=.
  20. 20. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  21. 21. 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
  22. 22. WHAT THEY REVEAL Very large or very small values Unexpected relationships Unusual statistical distributions `
  23. 23. DATA SOURCES Data changes over time USER-GENERATED CONTENT SYSTEMS THAT CONTINUOUSLY AND AUTOMATICALLY GENERATE DATA Data remains fixed `
  24. 24. 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
  25. 25. 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
  26. 26. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  27. 27. The Internet on Jan 16, 2005 www.opte.org
  28. 28. My facebook network generated using http://nexus.ludios.net Social Networks (1) Social networking
  29. 29. Subgroups in my network Social Networks: Linking
  30. 30. nodes connecting subgroups orphaned nodes and subgroups
  31. 31. Developed at the Human-Computer Interaction Lab at University of Maryland Simultaneously presents statisical analysis alongside social network analysis graph1 SNAs can be used to examine power relations2 Social network analysis Screenshot from http://www.cs.umd.edu/hcil/socialaction [1] Adam Perer, & Ben Shneiderman. (2008). Integrating Statistics and Visualization: Case Studies of Gaining Clarity during Exploratory Data Analysis. In Proceedings of the ACM Conference on Human Factors in Computing Systems. Florence, Italy. [2] e.g., Padgett, J. F., & Ansell, C. K. (1993). Robust Action and the Rise of the Medici, 1400-1434. American Journal of Sociology, 98(6), 1259.
  32. 32. (SocialAction... in action.)
  33. 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. 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
  35. 35. The Apology Project http://sites.google.com/site/diegomarananprojects/todo/on-hold/The-Apology-Project A Web 2.0 platform for public apologies
  36. 36. AN OTH ER ADVERTI SEM EN T Open Source Dance The Apology Project Visualizing Philippine Cinema Web developers needed!
  37. 37. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  38. 38. Visualizing data is not an unproblematic activity.
  39. 39. Methods used IN GENERATING AND COLLECTING DATA, IN CHOOSING APPROPRIATE VISUAL ELEMENTS, OR IN DISSEMINATING A VISUALIZATION can be subject to debate.
  40. 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. 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. 42. Visualizing data is not an unproblematic activity. But that's OK.
  43. 43. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  44. 44. Tons of examples on www.visualcomplexity.com and processing.org/exhibition
  45. 45. 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 ● ++ ●
  46. 46. 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.
  47. 47. What data visualization is Examples: 1 some older examples General Features so we can make sense of it all Examples: 2 networks Caveats Examples: 3 what's in it for you Now what?
  48. 48. 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
  49. 49. “Good art renders the invisible, visible.”

×