These slides are from recent talks by Andy Kirk of visualisingdata.com. The subject refers to the many different mindsets or roles that are required to be fulfilled for the effective design of data visualisation.
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. What’s Missing?
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‟
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. 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.
http://realtimeshortstories.files.wordpress.com/2011/10/mr_benn.jpg | http://www.youtube.com/watch?v=FMSJNrzQ3PM
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
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
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. Computer Scientist
The „executor‟ – brings the project alive
Has the critical technical capability
Acquires, handles and analyses data
Technical illustration skills
Technical programming skills
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
43. Designer
Length Volume
Size
Area Texture Colour Label
Direction
Saturation Position
Slope
Height Angle Radius/Diameter
Speed
Curvature/Arc Shape
Orientation
Transparency
Luminance Glyph
Flow Motion
Blur/Focus
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. Cognitive Scientist
Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm
48. 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 Zurich…and other stories”
51. Communicator
The „negotiator‟ – needs a hard hat
Acts at the client-designer gateway
Manage expectations
Present possibilities
Launch and publicise
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
I’m going to briefly present some contemporary visualisation projects from prominent designers across the globe and pick out some key tips learned from each to help achieve effective and efficient visualisation results.
If we take another look at Google Insights, this time for the term Infographic, we see a similar trend of interest.
Volume: 95 million front page viewsVariety: Just imagine the range of data captured about every visitor and user of a yahoo searchVelocity: This was based on a fairly unpredictable near-real-time feed from Yahoo’s backend engine
Volume: 95 million front page viewsVariety: Just imagine the range of data captured about every visitor and user of a yahoo searchVelocity: This was based on a fairly unpredictable near-real-time feed from Yahoo’s backend engine
You’re also expected to be a super hero with all the abilities perfectly aligned, balanced and deployable at a moment’s notice. It’s just not that likely, so you will usually rely on a team. The advice I received from most people was ‘stay close, connected and together as a team’.
Six Thinking Hats® is a simple, effective parallel thinking process that helps people be more productive, focused, and mindfully involved. And once learned, the tools can be applied immediately!You and your team members can learn how to separate thinking into six clear functions and roles. Each thinking role is identified with a colored symbolic "thinking hat." By mentally wearing and switching "hats," you can easily focus or redirect thoughts, the conversation, or the meeting.
You’re also expected to be a super hero with all the abilities perfectly aligned, balanced and deployable at a moment’s notice. It’s just not that likely, so you will usually rely on a team. The advice I received from most people was ‘stay close, connected and together as a team’.
You’re also expected to be a super hero with all the abilities perfectly aligned, balanced and deployable at a moment’s notice. It’s just not that likely, so you will usually rely on a team. The advice I received from most people was ‘stay close, connected and together as a team’.