SlideShare ist ein Scribd-Unternehmen logo
1 von 61
Downloaden Sie, um offline zu lesen
Understanding learning in
order to implement efficient
   visualisation methods

         Andy Kirk
     www.visualisingdata.com
       @visualisingdata
The stuff you need to learn to
  do data visualisation well

          Andy Kirk
      www.visualisingdata.com
        @visualisingdata
Hebden Bridge
Data Visualisation Blogger
Data Visualisation Design
       Consultant
Data Visualisation Trainer
                                                  ata Visualisation
                Training Courses Introduction to D



                                                                                                                                                         le
                                                                                                           Current Public Schedu
                                Visual                           isation
             The Growth of Data
                                                                                                                                                                                  middle of 2012:
                                                                                                                                   public training      course through to the
                                                                                           means for       These are the scheduled
                                                                   ded us with ubiquitous                                                                  Arts, Copenhagen | £250
                                                                                                                                                                                    COP2
                                      in technology have provi         nts of data. Where once
                                                                                                  data                                sh Academy of Fine
             Exponential advances               lising incredible amou                                      Thu 8 Mar | Royal Dani                        Arts, Copenhagen | £250
                                                                                                                                                                                   COP1
                   ing, recording and mobi                           attitudes as consumers
                                                                                               have                                  sh Academy of Fine
             creat                                        dance. Our                                        Fri 9 Mar | Royal Dani                             on | £235 LON3
             was scarce, now   it is captured in abun                               for visual insight                                   e, University of Lond
                                                               openness and yearn                           Thu 26 Apr | Senate
                                                                                                                                   Hous
                                                                                                                                                            Y, New York City | £250
                                                                                                                                                                                    NYC1
                                       nd transparency and                                                                           ol of Journalism, CUN
             also evolved: we dema                                                                          Fri 11 May | Grad Scho                           n DC | £250 WDC1
             to aid our understan
                                     ding.                                                                                              n Center, Washingto
                                                                                              for the       Mon 14 May | Foundatio                                          £250 BAL1
                                                                    widespread capabilities                  Wed 16 May                                         go | £250 CHI1
                                           s to fantastic tools and                  iques required                                   Center Conference, Chica
              Yet, whilst we have acces                        knowledge and techn                           Fri 15 Jun | University
                                        analysis of data, the                                                                            Toronto | £250 TOR1
              storage, handling and                                                                          Mon 18 Jun | Venue TBC,                                  £235 BRS1
                                                                                            instinct
                                                                   ach based on intuition,                   Fri 29 Jun                                       Edinburgh | £235 EDI1
                                         e world, a design appro                                                                       n Hotel, University of
              a cluttered, competitiv                                                                        Fri 6 Jul | Salisury Gree                     AMS1
                                                                                                                                       Amsterdam | £250
                                        e data visualisati  on comes in.                                      Fri 13 Jul | Venue TBC,
               overload. This is wher
                                                                                                   al         A 10% discount
                                                                  comm      unications that appe                                                                                    Training page on
                                     and    innovation, designing
               unleashing creativity                                                                                                                               ter      to attend an event.
                                                                                brains process                                     .com   where you can also regis
                                      and exploiting       the way our eyes and                                www.visualisingdata
               aimed at understanding
                                                                                         recent times
                                                                 th in popularity over
                                           lisation and its grow                           sizes and
                The interest in data visua                        isations of all shapes,
                                      e story. As a result, organ                                                                               ister now to reserve a
                                                                                                                       Places are limited so reg
                has been a remarkabl                                          tial value.
                                       ng up to the  realisation of its poten
                domain are now waki                                                                                                                       workshop.
                                                                                                                        place on  your preferred training
                                                              nt
                 Training Course Conte                                                                                 Visit the www.visualisin
                                                                                                                                               gdata.com, select the
                                                                                         rehensive,                                                                tion.
                 The objective of the
                                      training is to provi   de delegates with a comp
                                                                                                                     Training page and click on your preferred loca
                                                                                           excitement
                                                                     events buzzing with
                                           ition. You will leave the                 have acquired,
                  impact and amplify cogn                      ical capabilities you
                                         knowledge and pract                     s and opportunities
                  about the foundation                 visualisation challenge
                                                                                                                   Further Information
                                        on future data
                  inspiring you to take

                                                               include:                                                                                                             environment
                                        ed in the courses will                                                     Class size                                 a supportive learning
                   The main topics cover                                                                                             size is 20 to facilitate
                                                                    xt of data visualisation                       The maximum class
                                             d and modern conte
                       Historical backgroun                             an visual system                                                een all attendees.
                                               of design and the hum                                               group discussion betw
                       Foundation principles                selection
                                               design and
                       The essentials of chart
                                                                           and resources                           Refreshments
                                                 tial visualisation tools                                                                                               held in city central locat
                                                                                                                                                                                                     ions.
                       Exploration of the essen                        process                                                                ded. All events will be
                                                n methodology and                                                   lunch will not be inclu
                        The visualisation desig                    on design
                                                ing to visualisati
                        Applying critical think                           itioners
                                                ice examples and pract                                              Laptops
                        Showcase of best pract
                                              case studies
                        Visualisation project
                                                                          lisation challenges                                                                       g the day’s activities.
                                                 re your own data visua                                                                   across the group durin
                         Opportunities to explo                                                                     have a some devices

                                                                                                                     Times
                                                             ?                                                                                                                                   end of the
                      Who Should Attend
                                                                                                                                                                    time allocated at the
                                                                                                                                             g from 9:00 and extra
                                                                                                                     registration commencin                         er discussions.
                                                                                            is interested in                                questions or hold furth
                                                                     responsibility for, or                          session to pick up any
                                            d for anyone who has                                 data.
                      The courses are suite                                and communicating
                                                s for visually exploring
                      best practice approache
                                                                                                                                                               .
                                                                                                                      Visualising Data Ltd
                                                                                                      who
                                                                         lex datasets, or somebody
                                              st with large and comp                              t be an
                      You might be an analy                           gement report. You migh
                                              the occasional mana                                                                                                   Ltd, a UK based data
                                                                                                                                                                                         visualisation
                      just wants to enhance                                                                                                  er of Visualising Data                         ber of this
                                                                       from the crowd. You
                                                                                              might be a              Andy Kirk is the found                        has been an active mem
                                               looking to stand out                                  ing skills.                              training service. He
                       to advertising and are                               ner without programm                      design consultancy and
                                              design training or a desig                             r.
                       programmer with no                                     g or the public secto
                                              cine,   the media, engineerin                                            popular blog www.visua
                                                                                                                                             lisingdata.com.
                       You might be in medi
                                                                                                     we’ve all
                                                                           Data is everywhere and
                                                 is no typical delegate.                             is most
                        The point is that there                            . Anyone and everyone
                                             with it, so let’s do it right
                        got to do something                   d!
                                                   d to atten
                        welcome and encourage
Data Visualisation Speaker
Data Visualisation Speaker
Data Visualisation Author
What are we covering?



What you need to learn
Why you need to learn it
    How to learn it
http://image.yaymicro.com/rz_1210x1210/0/5d9/pile-of-bricks-5d9ac1.jpg
http://yourcolorcoach.files.wordpress.com/2010/11/img_7704.jpg
First, some eye candy
Andy Kirk talk at Big Data World Europe, September 2012
OECD Better Life Index | Moritz Stefaner




   http://oecdbetterlifeindex.org/countries/united-kingdom/
The Expansion of Post Offices Across the US | Derek Watkins




             http://derekwatkins.wordpress.com/2011/08/06/posted/
Running the Numbers II: Portraits of global mass culture | Chris Jordan




                     http://www.chrisjordan.com/gallery/rtn2/#gyre2
Yahoo! C.O.R.E Data Visualization | Periscopic




  http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/
Wind Map | Fernanda Viegas and Martin Wattenberg




                  http://hint.fm/wind/
The popular emergence of
    data visualisation
Popularity
                    Google Insights: Keyword Infographic




http://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q
#1: Data
     Periscopic: Yahoo! Mail Data Visualization




http://www.flickr.com/photos/visualizeyahoo/sets/72157627722660160/with/6235510547/
What’s missing?

We are overwhelmed by data,
not because there is too much,
 but because we don't know
        how to tame it.

  [Paraphrasing] Stephen Few, perceptualedge.com
#2: Technology
The „eyeo‟ Festival (2011-2012)




          http://eyeofestival.com/
What’s missing?


Doing data visualisation well is
 less a technology problem,
   more a people problem.
   Paraphrasing Aron Pilhofer, New York Times
#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
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‟
What’s missing?



Heuristics vs. Principles

Should/could vs. Must
Andy Kirk talk at Big Data World Europe, September 2012
Andy Kirk talk at Big Data World Europe, September 2012
What is data visualisation?


     The representation and
presentation of data that exploits
 our visual perception abilities in
    order to amplify cognition
Cerebral Cortex                                                                                 Visual Cortex
Thinking                                                                                          Seeing




 http://upload.wikimedia.org/wikipedia/commons/thumb/0/04/Human_Brain_sketch_with_eyes_and_cerebrellum.svg/1000px-
                                  Human_Brain_sketch_with_eyes_and_cerebrellum.svg.png
Ideas                                    Inspiration
Discoveries                                   Insight
Complexities                               Understanding
  Results                                   Persuasion




Messenger      Encode   Message   Decode      Receiver
Skills and Knowledge
Multi-disciplinary: Art & Science
Cognitive Science: Gestalt Laws




      Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm
Cognitive Science: Gestalt Laws




      http://www.mirror.co.uk/sport/football/euro-2012-where-italy-will-place-their-penalties-907506
Cognitive Science: Illusions




         http://en.wikipedia.org/wiki/Ebbinghaus_illusion
Cognitive Science: Illusions




      http://www.leancrew.com/all-this/2011/11/i-hate-stacked-area-charts/
Cognitive Science: Deceptions




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 Science: Deceptions




$0.8M out of $7.5M = 10.7%
Length of presented bar progress = 24.6%




               https://donate.wikimedia.org.uk/
Cognitive Science: Deceptions




    http://www.visualisingdata.com/index.php/2011/09/distorted-and-misleading-graphics-on-sky-sports/
Cognitive Science: Colour theory




http://driven-by-data.net/about/chromajs/#/0 | http://colorbrewer2.org/ | http://www.amazon.co.uk/Visual-Thinking-Kaufmann-Interactive-Technologies/dp/0123708966
Cognitive Science: Visual Variables

     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
Cognitive Science: Visual Variables




   Original – J. D. MacKinlay, „Automating the design of graphical presentations of relational information‟, 1986 | Redesign - Joe Parry
Design: Visualisation Context
Explanatory     Analytical/Pragmatic




                                       Exploratory
                 Abstract/Emotive
Design: Chart Types
Design: Typography




http://www.visualisingdata.com/index.php/2012/07/improving-my-knowledge-on-typography-in-data-visualisation/
Design: Instinct




http://graphics-info.blogspot.hk/2012/09/malofiej-20-look-at-our-participation.html
Design: Instinct




  Chose the chord diagram over the possibly more
revealing matrix design because the matrix doesn't
 look “tasty” and “muesli shouldn't look like fungi”
                 http://moritz.stefaner.eu/projects/musli-ingredient-network/
Computers: Software/Programming




       http://collider.com/wp-content/uploads/WarGames-Sheedy-and-Broderick-on-computer.jpg
Computers: HCI/UX




    http://max-planck-research-networks.net/
Computers: Digital Cartography




        http://www.nasa.gov/topics/earth/features/perpetual-ocean.html
Data: Databases, Wrangling




http://datamarket.com/ | http://www.flickr.com/photos/visualizeyahoo/sets/72157627722660160/with/6235510547/ | http://code.google.com/p/google-refine/
Data: Maths & Statistical Analysis




           http://www.getstats.org.uk/ | http://kartograph.org/
How to learn and where
         from?
Craft
Practice, practice, practice – experience is the key

Seek potential projects – paid, curiosity, contests

Learn about yourself – take notes, self critique

Technical skills – push yourself out of comfort zone

Evaluate others – silently or provide reviews

Publish yourself – encourage and digest peer critique
Theory
Online content – immerse yourself in the community


Books – so many invaluable references and inspirations


Academia – papers, journals


Conferences – within the field and around it


Training/education – look for good training provider…
The 8 Hats of Data Visualisation
                                        Project
Initiator   Journalist   Communicator
                                        Manager




Cognitive      Design       Computer      Data
 Science                     Science     Science
Cognitive Scientist = Mind


       Designer = Eye


      Journalist = Nose


Communicator = Mouth & Ears


 Computer Scientist = Hands


    Data Scientist = Back


  Project Manager = Torso


       Initiator = Legs
www.visualisingdata.com
andy@visualisingdata.com
    @visualisingdata

Weitere ähnliche Inhalte

Andere mochten auch

Andy Kirk's talk at the ACEhp 2015 Conference
Andy Kirk's talk at the ACEhp 2015 ConferenceAndy Kirk's talk at the ACEhp 2015 Conference
Andy Kirk's talk at the ACEhp 2015 ConferenceAndy Kirk
 
Andy Kirk Malofiej 20 Presentation
Andy Kirk Malofiej 20 PresentationAndy Kirk Malofiej 20 Presentation
Andy Kirk Malofiej 20 PresentationAndy Kirk
 
Andy kirk NYC Data Visualization Meetup
Andy kirk NYC Data Visualization MeetupAndy kirk NYC Data Visualization Meetup
Andy kirk NYC Data Visualization MeetupAndy Kirk
 
Fresh Thinking on Communicating with Data
Fresh Thinking on Communicating with DataFresh Thinking on Communicating with Data
Fresh Thinking on Communicating with DataAndy Kirk
 
Let's do some thinking about data visualisation thinking
Let's do some thinking about data visualisation thinkingLet's do some thinking about data visualisation thinking
Let's do some thinking about data visualisation thinkingAndy Kirk
 
Separating Myth from Truth in Data Visualisation
Separating Myth from Truth in Data VisualisationSeparating Myth from Truth in Data Visualisation
Separating Myth from Truth in Data VisualisationAndy Kirk
 
Andy Kirk's Webinar for Tableau (July 2016)
Andy Kirk's Webinar for Tableau (July 2016)Andy Kirk's Webinar for Tableau (July 2016)
Andy Kirk's Webinar for Tableau (July 2016)Andy Kirk
 
Data Visualisation and Infographic Design: 'State of the Union'
Data Visualisation and Infographic Design: 'State of the Union'Data Visualisation and Infographic Design: 'State of the Union'
Data Visualisation and Infographic Design: 'State of the Union'Andy Kirk
 
Data Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeData Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeAndy Kirk
 
The Good, The Bad and The Greys of Data Visualisation Design
The Good, The Bad and The Greys of Data Visualisation DesignThe Good, The Bad and The Greys of Data Visualisation Design
The Good, The Bad and The Greys of Data Visualisation DesignAndy Kirk
 
The Design of Time
The Design of TimeThe Design of Time
The Design of TimeAndy Kirk
 
Data visualization in a nutshell
Data visualization in a nutshellData visualization in a nutshell
Data visualization in a nutshellDavid Alayón
 
The 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationThe 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationAndy Kirk
 

Andere mochten auch (15)

Andy Kirk's talk at the ACEhp 2015 Conference
Andy Kirk's talk at the ACEhp 2015 ConferenceAndy Kirk's talk at the ACEhp 2015 Conference
Andy Kirk's talk at the ACEhp 2015 Conference
 
Andy Kirk Malofiej 20 Presentation
Andy Kirk Malofiej 20 PresentationAndy Kirk Malofiej 20 Presentation
Andy Kirk Malofiej 20 Presentation
 
Andy kirk NYC Data Visualization Meetup
Andy kirk NYC Data Visualization MeetupAndy kirk NYC Data Visualization Meetup
Andy kirk NYC Data Visualization Meetup
 
Fresh Thinking on Communicating with Data
Fresh Thinking on Communicating with DataFresh Thinking on Communicating with Data
Fresh Thinking on Communicating with Data
 
Let's do some thinking about data visualisation thinking
Let's do some thinking about data visualisation thinkingLet's do some thinking about data visualisation thinking
Let's do some thinking about data visualisation thinking
 
Separating Myth from Truth in Data Visualisation
Separating Myth from Truth in Data VisualisationSeparating Myth from Truth in Data Visualisation
Separating Myth from Truth in Data Visualisation
 
Andy Kirk's Webinar for Tableau (July 2016)
Andy Kirk's Webinar for Tableau (July 2016)Andy Kirk's Webinar for Tableau (July 2016)
Andy Kirk's Webinar for Tableau (July 2016)
 
Data Visualisation and Infographic Design: 'State of the Union'
Data Visualisation and Infographic Design: 'State of the Union'Data Visualisation and Infographic Design: 'State of the Union'
Data Visualisation and Infographic Design: 'State of the Union'
 
Data Visualization
Data VisualizationData Visualization
Data Visualization
 
Data Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to SeeData Visualisation Literacy - Learning to See
Data Visualisation Literacy - Learning to See
 
The Good, The Bad and The Greys of Data Visualisation Design
The Good, The Bad and The Greys of Data Visualisation DesignThe Good, The Bad and The Greys of Data Visualisation Design
The Good, The Bad and The Greys of Data Visualisation Design
 
The Design of Time
The Design of TimeThe Design of Time
The Design of Time
 
Data visualization in a nutshell
Data visualization in a nutshellData visualization in a nutshell
Data visualization in a nutshell
 
The 8 Hats of Data Visualisation
The 8 Hats of Data VisualisationThe 8 Hats of Data Visualisation
The 8 Hats of Data Visualisation
 
reveal.js 3.0.0
reveal.js 3.0.0reveal.js 3.0.0
reveal.js 3.0.0
 

Kürzlich hochgeladen

Create Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comCreate Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comjakyjhon00
 
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Ed Orozco
 
Construction Documents Checklist before Construction
Construction Documents Checklist before ConstructionConstruction Documents Checklist before Construction
Construction Documents Checklist before ConstructionResDraft
 
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLMath Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLkenzukiri
 
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdf
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdfBuilding+your+Data+Project+on+AWS+-+Luke+Anderson.pdf
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdfsaidbilgen
 
Cold War Tensions Increase - 1945-1952.pptx
Cold War Tensions Increase - 1945-1952.pptxCold War Tensions Increase - 1945-1952.pptx
Cold War Tensions Increase - 1945-1952.pptxSamKuruvilla5
 
Mike Tyson Sign The Contract Big Boy Shirt
Mike Tyson Sign The Contract Big Boy ShirtMike Tyson Sign The Contract Big Boy Shirt
Mike Tyson Sign The Contract Big Boy ShirtTeeFusion
 
High-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillHigh-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillCre8iveskill
 
Embroidery design from embroidery magazine
Embroidery design from embroidery magazineEmbroidery design from embroidery magazine
Embroidery design from embroidery magazineRivanEleraki
 
The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024Alan Dix
 
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...Amil baba
 
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxWCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxHasan S
 
Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...khushisharma298853
 
LRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfLRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfHctorFranciscoSnchez1
 
Designing for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsDesigning for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsBlock Party
 
UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024mikailaoh
 
Production of Erythromycin microbiology.pptx
Production of Erythromycin microbiology.pptxProduction of Erythromycin microbiology.pptx
Production of Erythromycin microbiology.pptxb2kshani34
 
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Ted Drake
 
How to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTHow to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTThink 360 Studio
 

Kürzlich hochgeladen (19)

Create Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.comCreate Funeral Invites Online @ feedvu.com
Create Funeral Invites Online @ feedvu.com
 
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...Design mental models for managing large-scale dbt projects. March 21, 2024 in...
Design mental models for managing large-scale dbt projects. March 21, 2024 in...
 
Construction Documents Checklist before Construction
Construction Documents Checklist before ConstructionConstruction Documents Checklist before Construction
Construction Documents Checklist before Construction
 
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOLMath Group 3 Presentation OLOLOLOLILOOLLOLOL
Math Group 3 Presentation OLOLOLOLILOOLLOLOL
 
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdf
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdfBuilding+your+Data+Project+on+AWS+-+Luke+Anderson.pdf
Building+your+Data+Project+on+AWS+-+Luke+Anderson.pdf
 
Cold War Tensions Increase - 1945-1952.pptx
Cold War Tensions Increase - 1945-1952.pptxCold War Tensions Increase - 1945-1952.pptx
Cold War Tensions Increase - 1945-1952.pptx
 
Mike Tyson Sign The Contract Big Boy Shirt
Mike Tyson Sign The Contract Big Boy ShirtMike Tyson Sign The Contract Big Boy Shirt
Mike Tyson Sign The Contract Big Boy Shirt
 
High-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkillHigh-Quality Faux Embroidery Services | Cre8iveSkill
High-Quality Faux Embroidery Services | Cre8iveSkill
 
Embroidery design from embroidery magazine
Embroidery design from embroidery magazineEmbroidery design from embroidery magazine
Embroidery design from embroidery magazine
 
The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024The future of UX design support tools - talk Paris March 2024
The future of UX design support tools - talk Paris March 2024
 
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...
Best-NO1 Pakistani Amil Baba Real Amil baba In Pakistan Najoomi Baba in Pakis...
 
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptxWCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
WCM Branding Agency | 210519 - Portfolio Review (F&B) -s.pptx
 
Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...Khushi sharma undergraduate portfolio...
Khushi sharma undergraduate portfolio...
 
LRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdfLRFD Bridge Design Specifications-AASHTO (2014).pdf
LRFD Bridge Design Specifications-AASHTO (2014).pdf
 
Designing for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teamsDesigning for privacy: 3 essential UX habits for product teams
Designing for privacy: 3 essential UX habits for product teams
 
UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024UX Conference on UX Research Trends in 2024
UX Conference on UX Research Trends in 2024
 
Production of Erythromycin microbiology.pptx
Production of Erythromycin microbiology.pptxProduction of Erythromycin microbiology.pptx
Production of Erythromycin microbiology.pptx
 
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
Introduce Trauma-Informed Design to Your Organization - CSUN ATC 2024
 
How to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPTHow to use Ai for UX UI Design | ChatGPT
How to use Ai for UX UI Design | ChatGPT
 

Andy Kirk talk at Big Data World Europe, September 2012

  • 1. Understanding learning in order to implement efficient visualisation methods Andy Kirk www.visualisingdata.com @visualisingdata
  • 2. The stuff you need to learn to do data visualisation well Andy Kirk www.visualisingdata.com @visualisingdata
  • 6. Data Visualisation Trainer ata Visualisation Training Courses Introduction to D le Current Public Schedu Visual isation The Growth of Data middle of 2012: public training course through to the means for These are the scheduled ded us with ubiquitous Arts, Copenhagen | £250 COP2 in technology have provi nts of data. Where once data sh Academy of Fine Exponential advances lising incredible amou Thu 8 Mar | Royal Dani Arts, Copenhagen | £250 COP1 ing, recording and mobi attitudes as consumers have sh Academy of Fine creat dance. Our Fri 9 Mar | Royal Dani on | £235 LON3 was scarce, now it is captured in abun for visual insight e, University of Lond openness and yearn Thu 26 Apr | Senate Hous Y, New York City | £250 NYC1 nd transparency and ol of Journalism, CUN also evolved: we dema Fri 11 May | Grad Scho n DC | £250 WDC1 to aid our understan ding. n Center, Washingto for the Mon 14 May | Foundatio £250 BAL1 widespread capabilities Wed 16 May go | £250 CHI1 s to fantastic tools and iques required Center Conference, Chica Yet, whilst we have acces knowledge and techn Fri 15 Jun | University analysis of data, the Toronto | £250 TOR1 storage, handling and Mon 18 Jun | Venue TBC, £235 BRS1 instinct ach based on intuition, Fri 29 Jun Edinburgh | £235 EDI1 e world, a design appro n Hotel, University of a cluttered, competitiv Fri 6 Jul | Salisury Gree AMS1 Amsterdam | £250 e data visualisati on comes in. Fri 13 Jul | Venue TBC, overload. This is wher al A 10% discount comm unications that appe Training page on and innovation, designing unleashing creativity ter to attend an event. brains process .com where you can also regis and exploiting the way our eyes and www.visualisingdata aimed at understanding recent times th in popularity over lisation and its grow sizes and The interest in data visua isations of all shapes, e story. As a result, organ ister now to reserve a Places are limited so reg has been a remarkabl tial value. ng up to the realisation of its poten domain are now waki workshop. place on your preferred training nt Training Course Conte Visit the www.visualisin gdata.com, select the rehensive, tion. The objective of the training is to provi de delegates with a comp Training page and click on your preferred loca excitement events buzzing with ition. You will leave the have acquired, impact and amplify cogn ical capabilities you knowledge and pract s and opportunities about the foundation visualisation challenge Further Information on future data inspiring you to take include: environment ed in the courses will Class size a supportive learning The main topics cover size is 20 to facilitate xt of data visualisation The maximum class d and modern conte Historical backgroun an visual system een all attendees. of design and the hum group discussion betw Foundation principles selection design and The essentials of chart and resources Refreshments tial visualisation tools held in city central locat ions. Exploration of the essen process ded. All events will be n methodology and lunch will not be inclu The visualisation desig on design ing to visualisati Applying critical think itioners ice examples and pract Laptops Showcase of best pract case studies Visualisation project lisation challenges g the day’s activities. re your own data visua across the group durin Opportunities to explo have a some devices Times ? end of the Who Should Attend time allocated at the g from 9:00 and extra registration commencin er discussions. is interested in questions or hold furth responsibility for, or session to pick up any d for anyone who has data. The courses are suite and communicating s for visually exploring best practice approache . Visualising Data Ltd who lex datasets, or somebody st with large and comp t be an You might be an analy gement report. You migh the occasional mana Ltd, a UK based data visualisation just wants to enhance er of Visualising Data ber of this from the crowd. You might be a Andy Kirk is the found has been an active mem looking to stand out ing skills. training service. He to advertising and are ner without programm design consultancy and design training or a desig r. programmer with no g or the public secto cine, the media, engineerin popular blog www.visua lisingdata.com. You might be in medi we’ve all Data is everywhere and is no typical delegate. is most The point is that there . Anyone and everyone with it, so let’s do it right got to do something d! d to atten welcome and encourage
  • 10. What are we covering? What you need to learn Why you need to learn it How to learn it
  • 15. OECD Better Life Index | Moritz Stefaner http://oecdbetterlifeindex.org/countries/united-kingdom/
  • 16. The Expansion of Post Offices Across the US | Derek Watkins http://derekwatkins.wordpress.com/2011/08/06/posted/
  • 17. Running the Numbers II: Portraits of global mass culture | Chris Jordan http://www.chrisjordan.com/gallery/rtn2/#gyre2
  • 18. Yahoo! C.O.R.E Data Visualization | Periscopic http://www.flickr.com/photos/visualizeyahoo/sets/72157629000570607/
  • 19. Wind Map | Fernanda Viegas and Martin Wattenberg http://hint.fm/wind/
  • 20. The popular emergence of data visualisation
  • 21. Popularity Google Insights: Keyword Infographic http://www.google.com/insights/search/#q=%22Big%20Data%22%2CInfographics&date=6%2F2007%2058m&cmpt=q
  • 22. #1: Data Periscopic: Yahoo! Mail Data Visualization http://www.flickr.com/photos/visualizeyahoo/sets/72157627722660160/with/6235510547/
  • 23. What’s missing? We are overwhelmed by data, not because there is too much, but because we don't know how to tame it. [Paraphrasing] Stephen Few, perceptualedge.com
  • 24. #2: Technology The „eyeo‟ Festival (2011-2012) http://eyeofestival.com/
  • 25. What’s missing? Doing data visualisation well is less a technology problem, more a people problem. Paraphrasing Aron Pilhofer, New York Times
  • 26. #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
  • 27. 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‟
  • 28. What’s missing? Heuristics vs. Principles Should/could vs. Must
  • 31. What is data visualisation? The representation and presentation of data that exploits our visual perception abilities in order to amplify cognition
  • 32. Cerebral Cortex Visual Cortex Thinking Seeing http://upload.wikimedia.org/wikipedia/commons/thumb/0/04/Human_Brain_sketch_with_eyes_and_cerebrellum.svg/1000px- Human_Brain_sketch_with_eyes_and_cerebrellum.svg.png
  • 33. Ideas Inspiration Discoveries Insight Complexities Understanding Results Persuasion Messenger Encode Message Decode Receiver
  • 36. Cognitive Science: Gestalt Laws Images from http://psychology.about.com/od/sensationandperception/ss/gestaltlaws.htm
  • 37. Cognitive Science: Gestalt Laws http://www.mirror.co.uk/sport/football/euro-2012-where-italy-will-place-their-penalties-907506
  • 38. Cognitive Science: Illusions http://en.wikipedia.org/wiki/Ebbinghaus_illusion
  • 39. Cognitive Science: Illusions http://www.leancrew.com/all-this/2011/11/i-hate-stacked-area-charts/
  • 40. Cognitive Science: Deceptions 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”
  • 41. Cognitive Science: Deceptions $0.8M out of $7.5M = 10.7% Length of presented bar progress = 24.6% https://donate.wikimedia.org.uk/
  • 42. Cognitive Science: Deceptions http://www.visualisingdata.com/index.php/2011/09/distorted-and-misleading-graphics-on-sky-sports/
  • 43. Cognitive Science: Colour theory http://driven-by-data.net/about/chromajs/#/0 | http://colorbrewer2.org/ | http://www.amazon.co.uk/Visual-Thinking-Kaufmann-Interactive-Technologies/dp/0123708966
  • 44. Cognitive Science: Visual Variables 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
  • 45. Cognitive Science: Visual Variables Original – J. D. MacKinlay, „Automating the design of graphical presentations of relational information‟, 1986 | Redesign - Joe Parry
  • 46. Design: Visualisation Context Explanatory Analytical/Pragmatic Exploratory Abstract/Emotive
  • 50. Design: Instinct Chose the chord diagram over the possibly more revealing matrix design because the matrix doesn't look “tasty” and “muesli shouldn't look like fungi” http://moritz.stefaner.eu/projects/musli-ingredient-network/
  • 51. Computers: Software/Programming http://collider.com/wp-content/uploads/WarGames-Sheedy-and-Broderick-on-computer.jpg
  • 52. Computers: HCI/UX http://max-planck-research-networks.net/
  • 53. Computers: Digital Cartography http://www.nasa.gov/topics/earth/features/perpetual-ocean.html
  • 54. Data: Databases, Wrangling http://datamarket.com/ | http://www.flickr.com/photos/visualizeyahoo/sets/72157627722660160/with/6235510547/ | http://code.google.com/p/google-refine/
  • 55. Data: Maths & Statistical Analysis http://www.getstats.org.uk/ | http://kartograph.org/
  • 56. How to learn and where from?
  • 57. Craft Practice, practice, practice – experience is the key Seek potential projects – paid, curiosity, contests Learn about yourself – take notes, self critique Technical skills – push yourself out of comfort zone Evaluate others – silently or provide reviews Publish yourself – encourage and digest peer critique
  • 58. Theory Online content – immerse yourself in the community Books – so many invaluable references and inspirations Academia – papers, journals Conferences – within the field and around it Training/education – look for good training provider…
  • 59. The 8 Hats of Data Visualisation Project Initiator Journalist Communicator Manager Cognitive Design Computer Data Science Science Science
  • 60. Cognitive Scientist = Mind Designer = Eye Journalist = Nose Communicator = Mouth & Ears Computer Scientist = Hands Data Scientist = Back Project Manager = Torso Initiator = Legs

Hinweis der Redaktion

  1. 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.
  2. Good example 1
  3. In this piece Periscopic had to judge resolution capabilities early on – settled for 5 minute aggregates and by city rather than every individual email by location
  4. If we take another look at Google Insights, this time for the term Infographic, we see a similar trend of interest.
  5. 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
  6. 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