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 ...
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.
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Andy Kirk at Andy KirkHere you go Harry! http://www.ecrater.co.uk/p/11094521/vintage-era-1980-pacman-namco-video?gps=111 months ago
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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’.
The 8 Hats of Data VisualisationPresentation Transcript
The 8 Hats ofData Visualisation Design Andy Kirk
The popular emergence of data visualisation
What is data visualisation? The representation andpresentation of data that exploits our visual perception abilities in order to amplify cognition
Popularity Google Insights: Keyword Infographichttp://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q
#1: DataPeriscopic: Yahoo! C.O.R.E Data Visualization (2012) http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/
#2: TechnologyThe „eyeo‟ Festival (2011-2012) http://eyeofestival.com/
#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
What’s 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‟
Art & Science
What’s Missing?Doing data visualisation well is less a technology problem, more a people problem. Paraphrasing Aron Pilhofer, New York Times
So, why the ‘8 hats of data visualisation design’?
Edward de Bono‟s 6 Thinking Hats http://www.debonogroup.com/six_thinking_hats.php
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
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
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
Initiator
Initiator From “Information Dashboard Design” and http://centerview.corda.com/corda/dashboards/examples/sales/main.dashxm l
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
Journalist
Journalist The „storyteller‟ – establishes narrative Formulates the questions Finds the stories/key angles Deeper researcher mindset Validates the analytical enquiry Gets answers
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?
Journalist Good content reasoners and presenters are rare, designers are not. Edward Tufte http://adage.com/article/adagestat/edward-tufte-adagestat-q-a/230884/
Computer Scientist The „executor‟ – brings the project alive Has the critical technical capability Acquires, handles and analyses data Technical illustration skills Technical programming skills
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
Designer The data visualisation anatomy… Data representation layer Colour and background layer Animation and interaction layer Layout, placement and apparatus layer The annotation layer
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
Designer
Cognitive Scientist
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
Cognitive Scientist Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm
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”
Cognitive Scientist http://colorbrewer2.org/
Communicator
Communicator The „negotiator‟ – needs a hard hat Acts at the client-designer gateway Manage expectations Present possibilities Launch and publicise
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
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