An approach for data visualisation
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The document outlines Andy Kirk's "8 Hats of Data Visualization Design", which are roles or mindsets that contribute to effective data visualization projects. The 8 roles are: Initiator, Data Scientist, Journalist, Computer Scientist, Designer, Cognitive Scientist, Communicator, and Project Manager. Each role has a specific focus, such as the Initiator defining the problem, the Data Scientist preparing the data, and the Designer conceiving visual solutions. Working together, these roles help ensure data visualizations are insightful, technically sound, and effectively delivered.
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An approach for data visualisation
- 1. The 8 Hats of Data Visualisation Design Andy Kirk
- 3. The popular emergence of data visualisation
- 4. The representation and presentation of data that exploits our visual perception abilities in order to amplify cognition What is data visualisation?
- 7. http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/ #1: Data Periscopic: Yahoo! C.O.R.E Data Visualization (2012)
- 8. http://eyeofestival.com/ #2: Technology The ‘eyeo’ Festival (2011-2012)
- 9. #3: Exposure Hans Rosling: TEDTalks “Myths about the developing world“ (2006) http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html
- 10. The skills required for most effectively displaying information are not intuitive and rely largely on principles that must be learned. Stephen Few, ‘Show Me the Numbers’ What’s Missing?
- 11. Art & Science
- 12. Doing data visualisation well is less a technology problem, more a people problem. Paraphrasing Aron Pilhofer, New York Times What’s Missing?
- 14. So, why the ‘8 hats of data visualisation design’?
- 15. Edward de Bono’s 6 Thinking Hats http://www.debonogroup.com/six_thinking_hats.php
- 16. http://realtimeshortstories.files.wordpress.com/2011/10/mr_benn.jpg | http://www.youtube.com/watch?v=FMSJNrzQ3PM Mr Benn, a man wearing a black suit and bowler hat, leaves his house at 52 Festive Road and visits a fancy-dress costume shop where he is invited by the moustachioed, fez-wearing shopkeeper to try on a particular outfit. He leaves the shop through a magic door at the back of the changing room and enters a world appropriate to his costume, where he has an adventure (which usually contains a moral) before the shopkeeper reappears to lead him back to the changing room, and the story comes to an end. Mr Benn returns to his normal life, but is left with a small souvenir of his magical adventure.
- 19. Initiator
- 21. 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
- 22. 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
- 23. Initiator
- 24. From “Information Dashboard Design” and http://centerview.corda.com/corda/dashboards/examples/sales/main.dashxm l Initiator
- 29. Data Scientist
- 30. 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
- 31. Journalist
- 32. Journalist The ‘storyteller’ – establishes narrative Formulates the questions Finds the stories/key angles Deeper researcher mindset Validates the analytical enquiry Gets answers
- 33. Journalist What questions or curiosities are you hoping to answer through this visualisation? What stories should users/readers be able to derive from this visualisation?
- 34. Journalist Good content reasoners and presenters are rare, designers are not. Edward Tufte http://adage.com/article/adagestat/edward-tufte-adagestat-q-a/230884/
- 37. The ‘executor’ – brings the project alive Has the critical technical capability Acquires, handles and analyses data Technical illustration skills Technical programming skills Computer Scientist
- 38. Computer Scientist http://www.visualisingdata.com/index.php/resources/
- 39. Designer
- 41. 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
- 42. Designer The data visualisation anatomy… Data representation layer Colour and background layer Animation and interaction layer Layout, placement and apparatus layer The annotation layer
- 44. Designer
- 46. 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
- 47. Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm Cognitive Scientist
- 48. 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 Zurich…and other stories” Cognitive Scientist
- 50. Communicator
- 51. Communicator The ‘negotiator’ – needs a hard hat Acts at the client-designer gateway Manage expectations Present possibilities Launch and publicise
- 52. Project Manager
- 54. 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
- 55. Project Manager Pressures: Timescales, editorial Rules: Structure, layout, style, colour Capability: Design, technical, technology People: Individual, team, collaboration
- 57. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Initiator Designer Data Scientist Journalist Cognitive Scientist Project Manager Communicator Computer Scientist
- 58. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Initiator Project Manager Communicator
- 59. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Initiator Data Scientist Project Manager Computer Scientist
- 60. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Initiator Data Scientist Journalist Project Manager Communicator
- 61. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Designer Cognitive Scientist Project Manager Computer Scientist
- 62. Purpose & parameters Prepare & explore data Formulate questions Design concepting Construct & launch Designer Cognitive Scientist Project Manager Communicator Computer Scientist
- 65. The 8 Hats of Data Visualisation Design Andy Kirk
- 66. Thank you!