1. The 8 Hats ofData Visualisation Design Andy Kirk

2. The popular emergence ofdata visualisation 3. What is data visualisation? The representation andpresentation of data that exploits our visual perception abilities inorder to amplify cognition 4. PopularityGoogle Insights: Keyword Infographichttp://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q 5. #1: DataPeriscopic: Yahoo! C.O.R.E Data Visualization (2012) http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/ 6. #2: TechnologyThe eyeo Festival (2011-2012)http://eyeofestival.com/ 7. #3: ExposureHans Rosling: TEDTalks Myths about the developing world (2006) http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html 8. Whats Missing?The skills required for most effectively displaying informationare not intuitive and rely largely on principles that must be learned. Stephen Few, Show Me the Numbers 9. Art & Science 10. Whats Missing?Doing data visualisation well is less a technology problem, more a people problem. Paraphrasing Aron Pilhofer, New York Times 11. http://images.wikia.com/marvel_dc/images/9/93/Adventures_of_Superman_424.jpg | http://www.adobenido.com/blog/wp-content/uploads/2012/01/wonder_woman.jpg 12. So, why the 8 hats of datavisualisation design? 13. Edward de Bonos 6 Thinking Hatshttp://www.debonogroup.com/six_thinking_hats.php 14. Mr Benn, a man wearing a black suit and bowler hat, leaves his house at 52Festive Road and visits a fancy-dress costume shop where he is invited by themoustachioed, fez-wearing shopkeeper to try on a particular outfit. He leavesthe shop through a magic door at the back of the changing room and enters aworld appropriate to his costume, where he has an adventure (which usuallycontains a moral) before the shopkeeper reappears to lead him back to thechanging room, and the story comes to an end. Mr Benn returns to his normallife, but is left with a small souvenir of his magical adventure.http://realtimeshortstories.files.wordpress.com/2011/10/mr_benn.jpg | http://www.youtube.com/watch?v=FMSJNrzQ3PM 15. InitiatorData ScientistJournalistComputer ScientistDesignerCognitive ScientistCommunicatorProject Manager 16. Design ProcessMindsets /Roles 17. Initiator 18. Initiatorhttp://www.ratestogo.com/blog/wp-content/uploads/2009/01/thinker.jpg 19. Initiator The leader seeks a solution Person with problem/curiosity/ opportunity Appetite to explore, find answers Researcher mindset, seek evidence Creates the analytical direction Sets the tone of the project Identifies and sets parameters 20. Initiator Brief: Open, strict, helpful, unhelpful Format: Static, interactive, video Audience size: One, group, www Audience type: Domain experts, general Resolution: High level, detail, exploratory 21. Initiator 22. Initiator From Information Dashboard Design and http://centerview.corda.com/corda/dashboards/examples/sales/main.dashxm l 23. Initiatorhttp://www.npr.org/2011/10/31/141816460/visualizing-how-a-population-grows-to-7-billion 24. Initiatorhttp://oecdbetterlifeindex.org/countries/united-kingdom/ 25. Initiatorhttp://hci.stanford.edu/jheer/files/zoo/ 26. Initiatorhttp://www.chrisjordan.com/gallery/rtn2/#gyre2 27. Data Scientist 28. Data Scientist The data miner acquires the data Addresses the data for quality Prepares the data for its purpose Enhances and consolidate the data Strong statistical knowledge Undertakes initial descriptive analysis Undertakes exploratory visual analysis 29. Journalist 30. Journalist The storyteller establishes narrative Formulates the questions Finds the stories/key angles Deeper researcher mindset Validates the analytical enquiry Gets answers 31. Journalist What questions or curiositiesare you hoping to answerthrough this visualisation? What stories should users/readers be able to derive from this visualisation? 32. JournalistGood content reasonersand presenters are rare,designers are not.Edward Tufte http://adage.com/article/adagestat/edward-tufte-adagestat-q-a/230884/ 33. Computer Scientist 34. Computer Scientisthttp://collider.com/wp-content/uploads/WarGames-Sheedy-and-Broderick-on-computer.jpg 35. Computer Scientist The executor brings the project alive Has the critical technical capability Acquires, handles and analyses data Technical illustration skills Technical programming skills 36. Computer Scientist http://www.visualisingdata.com/index.php/resources/ 37. Designer 38. Designer http://degaryan.blogspot.com/2011/03/introduction.html 39. Designer The creative conceives the solution Understands the message Understands the possibilities Explores and pursues different options Rationalises and reasons design options Balances form and function 40. Designer The data visualisation anatomy Data representation layer Colour and background layer Animation and interaction layer Layout, placement and apparatus layer The annotation layer 41. DesignerLengthVolume SizeAreaTexture ColourLabelDirectionSaturationPositionSlope HeightAngleRadius/Diameter Speed Curvature/ArcShapeOrientation TransparencyLuminance Glyph FlowMotion Blur/Focus 42. Designer 43. Cognitive Scientist 44. Cognitive Scientist The thinker visual perception Knows how the eye and brain work Understands principles like Gestalt Laws Colour theories, HCI Memory, attention, decision making 45. Cognitive Scientist Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm 46. Cognitive Scientist Visible pixels on left graph: blue = 82% pink =18% Visible pixels on right graph: blue = 91% pink = 9% Office for National Statistics: Presentation by Alan Smith, The Curious Incident of Kevins in Zurichand other stories 47. Cognitive Scientist http://colorbrewer2.org/ 48. Communicator 49. Communicator The negotiator needs a hard hat Acts at the client-designer gateway Manage expectations Present possibilities Launch and publicise 50. Project Manager 51. Project Managerhttp://www.bat-mania.co.uk/main/heroes/images/alfred_batphone.JPG 52. Project Manager The manager looks after the project Manages the progress, cohesively Understands brief Understands capabilities Finishes, checks, attention to detail Concerned with visualisation/stats ethics Identifies and sets parameters 53. Project Manager Pressures: Timescales, editorial Rules: Structure, layout, style, colour Capability: Design, technical, technology People: Individual, team, collaboration 54. Project Managerhttp://v2.centralstory.com/about/squiggle/ 55. Purpose & Prepare & Formulate Design Construct & parameters explore data questions concepting launch Initiator DataScientistJournalist Computer ScientistDesignerCognitiveScientistCommunicatorProjectManager 56. Purpose & Prepare & Formulate Design Construct & parameters explore data questions concepting launchInitiatorCommunicatorProjectManager 57. Purpose & Prepare & Formulate Design Construct & parameters explore data questions concepting launch Initiator DataScientistComputerScientistProjectManager 58. Purpose & Prepare & Formulate Design Construct & parameters explore data questions concepting launch Initiator DataScientistJournalistCommunicatorProjectManager 59. Purpose & Prepare & Formulate Design Construct &parameters explore data questions concepting launchComputerScientistDesignerCognitiveScientistProjectManager 60. Purpose & Prepare & Formulate Design Construct & parameters explore data questions concepting launch Computer ScientistDesignerCognitiveScientistCommunicatorProjectManager 61. InitiatorData ScientistJournalistComputer ScientistDesignerCognitive ScientistCommunicatorProject Manager 62. http://images.wikia.com/marvel_dc/images/9/93/Adventures_of_Superman_424.jpg | http://www.adobenido.com/blog/wp-content/uploads/2012/01/wonder_woman.jpg 63. The 8 Hats ofData Visualisation Design Andy Kirk 64. Thank you!