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Fresh Thinking on Communicating with Data
This document summarizes a webinar presentation by Andy Kirk on fresh thinking for communicating with data visualization. The webinar covered six types of thinking that can help data visualizers approach their work in a fresh way: contextual thinking, imaginative thinking, journalistic thinking, critical thinking, organized thinking, and thinking based on personal convictions. Kirk provided examples to illustrate each type of thinking and emphasized embracing fresh perspectives to create effective visualizations.
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Fresh Thinking on Communicating with Data
- 1. Fresh Thinking onCommunicating with Data Andy Kirk Data Visualisation Specialist & Founder of visualisingdata.com
- 2. 2 quick housekeepingnotes: • This webinar will be recorded and available on-demand to view later or share with colleagues. You’ll receive an email later this week with details. • Please type your questions into the chat box and we’ll get to them during Q&A portion at end of presentation. Thank you for joining today’s webinar
- 3. Today’s presenters Andy Kirk DataVisualisation Specialist and Founder, visualisingdata.com Andy Cotgreave Technical Evangelist, Tableau Software
- 5. The Tableau Revolution Fastand easy analytics for everyone
- 6. FRESH THINKING ON COMMUNICATINGWITH DATA Andy Kirk www.visualisingdata.com @visualisingdata
- 7. Data visualisation specialist:Blogger, trainer, lecturer, researcher, author, design consultant, speaker...
- 8. Data visualisation specialist:Blogger, trainer, lecturer, researcher, author, design consultant, speaker...
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- 16. YOU ARE KAYAKINGALONG THE COAST OF GREENLAND AND YOU NEED A ‘CHART’ TO NAVIGATE... The influence of context (HT to Mark Daggett @heavysixer)
- 17. Cope with wet?Can’t need power? Work in dark? Can float? http://www.visualisingdata.com/index.php/2013/03/tactile-visualisations-inuit-wood-maps/
- 18. “… in orderto design a tool, we must make our best efforts to understand the larger social and physical context within which it is intended to function.” Bill Buxton, “Sketching User Experiences” http://www.amazon.com/gp/product/0123740371/ref=as_li_tf_il?ie=UTF8&tag=visuadata-20&linkCode=as2&camp=217145&creative=399369&creativeASIN=0123740371
- 19. Stakeholders, influencers andinterferers
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- 21. Design rules: Layout,colour, typography, branding, language? http://www.smashingmagazine.com/2008/02/11/award-winning-newspaper-designs/ | http://dmindless.blogspot.com/2011/04/how-to-make-presentation-that-rocks.html
- 22. Designing for anaudience: Consumer setting?
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- 26. What’s the bestvisualisation solution? It always depends. Get your contextual thinking established first. Takeaway #1: Contextual thinking
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- 30. Subject empathy: Challengingconventions
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- 32. https://www.facebook.com/RenzoPicassoArchive Creativity: Be inspiredby the world around you
- 33. http://www.visualisingdata.com/index.php/2012/05/the-fine-line-between-plagiarism-and-inspiration/ Creativity: Be inspiredby the world around you (with attribution)
- 34. Creativity: Capture instinctiveideas and imagery
- 35. What creative ideas– instinctive keywords and imagery – form when you think about a task: its intended recipients, the subject matter and its data? Takeaway #2: Imaginative thinking
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- 37. The journalist-analyst sensibilityto pursue a curiosity
- 38. http://en.wikipedia.org/wiki/August_Landmesser Pattern matching, sense-making,sniffing out the story
- 39. http://www.bloomberg.com/billionaires/latest Pattern matching, sense-making,sniffing out the story
- 40. Visualisation often servesup the questions not the answers Haiti Afghanistan S. Africa Kuwait Vietnam Nauru North Korea Tajikistan Ethiopia
- 41. http://www.nytimes.com/interactive/2009/03/01/business/20090301_WageGap.html Passing on yourunderstanding to your audience
- 42. “A photo isnever an objective reflection, but always an interpretation of reality... I see data visualization as sort of a new photojournalism – a highly editorial activity.” Moritz Stefaner http://well-formed-data.net/archives/1027/worlds-not-stories
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- 44. Be motivated bycuriosity and a desire to effectively convey the most relevant understanding to others. Takeaway #3: Journalistic thinking
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- 46. Visualisation is agame of decisions
- 47. 5 Layers: Datarepresentation & presentation Annotation Interactivity Composition Colour http://hint.fm/wind/ Data Representation
- 48. http://www.nytimes.com/interactive/2014/10/19/upshot/peyton-manning-breaks-touchdown-passing-record.html?abt=0002&abg=0 DATA REPRESENTATION: Avisual answer to a data question How have NFL cumulative touchdown passes grown since 1930 for quarterbacks with over 30 TD passes?
- 49. http://www.nytimes.com/interactive/2014/10/19/upshot/peyton-manning-breaks-touchdown-passing-record.html?abt=0002&abg=0 DATA REPRESENTATION: Avisual answer to a data question How have NFL cumulative touchdown passes grown since 1930 for quarterbacks with over 30 TD passes? Angle: Change of quantitative value (touchdowns) over time for multiple categories (quarterbacks) Filter: Parameters for time period (1930 to 19th October 2014) and minimum qualifying quantitative threshold (30 TD passes)
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- 51. INTERACTIVITY: Manipulate, interrogate,participate http://www.nytimes.com/interactive/2013/12/20/sunday-review/dialect-quiz-map.html?_r=0
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- 54. “Good design isthorough down to the last detail... Nothing must be arbitrary or left to chance.” Dieter Rams’ ‘10 principles of good design’ https://www.vitsoe.com/gb/about/good-design
- 55. Be able tojustify every design decision http://www.oecd.org/dac/peerreviewsofdacmembers/PRFINLAND2012.pdf
- 56. The real craftbehind data visualisation design is how we rationalise choices. To make astute choices, you need to be aware of all the options. Takeaway #4: Critical thinking
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- 58. Visualisation is aprocess, not a procedure
- 59. 1. Establish thevisualisation’s context and ideas 2. Acquire, familiarise with and prepare your data 3. Determine the editorial focus of your subject matter 5. Construct and evaluate your design solution 4. Conceive your design: data representation and presentation
- 60. Where to begin?What pathway to take? http://www.mattneuman.com/maze.gif
- 61. Cohesion and flowof thinking
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- 63. Many different proposedmethodologies https://speakerdeck.com/alignedleft/open-source-your-data-design-process
- 64. Don’t force it!Find what works for you
- 65. Pursue an effectiveand efficient workflow to sequence and optimise your thinking. Takeaway #5: Organised thinking
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- 67. Framework for thinkingrather than rules for obeying
- 68. “There's a strandof the data viz world that argues that everything could be a bar chart. That's possibly true but also possibly a world without joy” Amanda Cox, New York Times http://blogs.hbr.org/hbr/hbreditors/2013/03/power_of_visualizations_aha_moment.html
- 69. Framework for thinkingrather than rules for obeying
- 70. The representation andpresentation of data to make understanding accessible My definition...
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- 72. https://twitter.com/MaxCRoser/status/580666217142329344 Bad visualisation makesunderstanding inaccessible
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- 74. http://porostocky.prosite.com/6517/114057/work/infographics | http://hmi.ucsd.edu/howmuchinfo.php http://viz.wtf/post/107628689945/all-your-database-are-belong-to-us| http://viz.wtf/post/107440754050/how-payday-loans-add-up Bad visualisation tries to decorate data
- 75. http://www.nytimes.com/interactive/2015/03/19/upshot/3d-yield-curve-economic-growth.html?smid=pl-share&_r=1&abt=0002&abg=0 There are few(if any) ‘always’ and ‘nevers’ I thought all 3D was bad, why is this 3D visualisation OK?
- 76. http://www.nytimes.com/interactive/2015/03/19/upshot/3d-yield-curve-economic-growth.html?smid=pl-share&_r=1&abt=0002&abg=0 There are few(if any) ‘always’ and ‘nevers’ I thought all 3D was bad, why is this 3D visualisation OK?
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- 78. http://style.org/deleted/ Constructive critique heightensyour convictions
- 79. “Chefs are ableto more clearly discern what they taste because through constant exposure they have developed improved senses as well as vocabulary to express and discuss their impressions.” Oliver Reichenstein, “Learning to see” Paraphrased from: http://ia.net/blog/learning-to-see/
- 80. The importance ofestablishing your own beliefs and convictions about what is good/ bad, effective/ineffective visualisation Takeaway #6: Thinking for yourself...
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- 82. Getting this littleguy working will make a huge difference!
- 83. FRESH THINKING ON COMMUNICATINGWITH DATA Andy Kirk www.visualisingdata.com @visualisingdata
- 84. Thanks for joiningtoday. If you’d like to try Tableau for yourself you can access your free trial at: http://www.tableausoftware.com/trial