5. Trainer
tion
duct ion to DataVisualisa
Training Courses Intro
le
Current Public Schedu
Visualisation
The Growth of Data
le of 2012:
e through to the midd
publi c traini ng cours
mean s for These are the scheduled
ded us with ubiquitous Arts, Copenhagen | £250
COP2
in technology have provi e once data h Academy of Fine
Exponential advances amounts of data. Wher Thu 8 Mar | Royal Danis Copenhagen | £250 COP1
mobi lising incredible mers have h Academy of Fine Arts,
creati ng, recording and Our attitudes as consu Fri 9 Mar | Royal Danis London | £235 LON3
captured in abundance. for visual insight House, University of
was scarce, now it is openn ess and yearn Thu 26 Apr | Senat e York City | £250 NY C1
nd transparency and ournalism, CUNY, New
also evolved: we dema Fri 1 May | Grad Schoo
1 l of J
n DC | £250 WDC1
to aid our understand
ing. ation Center, Washingto £250 BAL1
for the Mon 1 May | Found
4
widespread capabilities Wed 1 May go | £250 CHI1
s to fantastic tools and iques requi red
6
Center Conference, Chica
Yet, whilst we have acces knowledge and techn Fri 1 Jun | University
5
analysis of data, the Toron to | £250 TOR1
storage, handl ing and Mon 1 J | Venue TBC,
8 un £235 BRS 1
instin ct
ach based on intuit ion, Fri 29 J un Edinburgh | £235 EDI1
e world, a design appro Hotel , University of
a cluttered, competitiv Fri 6 J | Salisury Green
ul 1
Amst erdam | £250 AMS
data visualisation comes
in. Fri 1 Jul | Venue TBC,
3
overload. This is where
l A 1 discount
0%
comm unications that appea Train ing page on
and innovation, designing
unleashing creati vity regist er to atten d an
event .
way our eyes and brain
s process om where you can also
exploiting the www.visualisingdata.c
aimed at under standing and
recen t times
h in popularity over
lisation and its growt sizes and
The interest in data visua isations of all shapes,
story. As a result , organ ster now to reserve a
Places are limited so regi
has been a remar kable value.
ation of its poten tial
waking up to the realis
domain are now training workshop.
place on your preferred
tent
Training Course Con Visit the www.visualising
data.com, select the
with a comprehensive, d location.
The objective of the
traini ng is to provi de delegates
Training page and click on your preferre
excitement
event s buzzi ng with
tion. You will leave the have acqui red,
impact and ampli fy cogni ical capabilities you
knowledge and pract rtunit ies
about the foundation n challenges and oppo
on future data visualisatio
inspir ing you to take
Further Information
in the courses will include: environment
main topics cover ed Class size a supportive learn ing
The size is 20 to facilit ate
of data visualisation The maxim um class
and modern context
Historical background n visual system en all attendees.
of design and the huma group discussion betwe
Foundation principles and select ion
The essen tials of chart design
and resources Refreshments
tial visualisation tools centr al locati ons.
Exploration of the essen process ed. All event s will be held in city
n methodology and lunch will not be includ
The visualisation desig n
ing to visualisation desig
Applying critical think itioners
ice exam ples and pract Laptops
Showcase of best pract s
Visualisation project case studie
lisation challenges g the day’s activi ties.
re your own data visua across the group durin
Opportunit ies to explo have a some devices
Times
? end of the
Who Should Attend
time allocated at the
g from 9:00 and extra
regist ration comm encin r discussion s.
nsibil ity for, or is intere
sted in quest ions or hold furthe
for anyone who has respo comm unicating data. session to pick up any
The courses are suited and
for visually exploring
best pract ice approaches
.
Visualising Data Ltd
body who
lex datasets, or some
st with large and comp t be an
You might be an analy gement repor t. You migh
the occasional mana visualisation
just wants to enhance Ltd, a UK based data
er of Visualising Data ber of this
crowd. You might be
a Andy Kirk is the found has been an active mem
g to stand out from the traini ng service. He
to adver tising and are lookin ner witho ut progr amm ing skills. design consultancy and
design traini ng or a desig sector.
progr amm er with no eering or the publi c lisingdata.com.
cine, the media, engin popular blog www.visua
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
to atten d!
welcome and encouraged
9. Career
Lancaster University | 1995 to 1999
Degree in Operational Research + Year in Industry
Co-operative Insurance Society (CIS) | 1999 to 2001
Business Analyst
West Yorkshire Police | 2001 to 2007
Performance Analyst > Information Manager
University of Leeds | 2007 to 2012
Information Manager
University of Leeds | 2007 to 2009
Masters Degree (Research) in Data Visualisation
Visualising Data Ltd. | 2010 to date
Freelance Jack of All Trades / Visualisation Mercenary
12. 1. Establish the
visualisation‟s purpose
and identify key factors
2. Acquire, prepare and 3. Establish editorial focus
explore your data with your subject matter
4. Conceive your
visualisation design
5. Construct your data
visualisation solution
13. 1. Establish the
visualisation‟s
purpose and identify
key factors
14. What is „Purpose‟?
Trigger Intent
Its reason for existing The intended function and tone
How well is it defined?
Client project (brief)
Internal project (brief)
Self-initiated
15. Intent: Function
Who does the work?
Designer driven or Reader driven
16. Intent: Tone
Scienc
Art
e
http://www.hybridtweaks.com/wp-content/uploads/2012/07/valuev-holyfield.jpg
17. Intent: Tone
Getting [visualisation] right is
much more a science than an
art,
which we can only achieve by
studying human perception.
Stephen Few
http://www.interaction-design.org/encyclopedia/data_visualization_for_human_perception.html
18. Intent: Tone
I have this fear that we aren’t
feeling enough.
Chris Jordan, TED Talk
http://www.youtube.com/watch?v=f09lQ8Q1iKE&feature=youtu.be&t=5m11s
19. Intent: Function + Tone
Exploratory (Find Stories) Analytical/Pragmatic
Explanatory (Tell Stories)
Abstract/Emotive
23. Why Is Her Paycheck Smaller? | New York Times
http://www.nytimes.com/interactive/2009/03/01/business/20090301_WageGap.html
http://www.barackobama.com/jobsrecord
33. Good content reasoners
and presenters are rare,
designers are not.
Edward Tufte
http://adage.com/article/adagestat/edward-tufte-adagestat-q-a/230884/
39. Visual Analysis to Find Stories
Trends and patterns (or lack of)
– Up and down vs. flat?
– Linear vs. exponential
– Steady vs. fluctuating
– Seasonal vs. random
– Rate of change vs. steepness
40. Visual Analysis to Find Stories: Trends
https://pbs.twimg.com/media/A8aptCHCAAAWyqx.png:large
51. Showing what we are
trying to say
http://www.storytellingwithdata.com/2012/05/creating-visual-story-questions-to-ask.html
52. The Ebb and Flow of Movie Box Office Takings | New York Times
http://www.nytimes.com/interactive/2008/02/23/movies/20080223_REVENUE_GRAPHIC.html
53. We rejected them because they
didn’t do a good job of
answering some of the most
interesting questions... Different
forms do better jobs at
answering different questions.
Amanda Cox (on NYT Stream Graph)
http://www.portfolio.com/views/blogs/odd-numbers/2008/02/26/q-amp-a-anatomy-of-a-graphic
60. Colour used well can enhance
and clarify a presentation.
Colour used poorly will
obscure, muddle and confuse.
Maureen Stone
http://www.perceptualedge.com/articles/b-eye/choosing_colors.pdf
68. The annotation layer is the
most important thing we do...
otherwise it’s a case of
here it is, you go figure it out.
Amanda Cox, Graphics Editor, New York Times
http://eyeofestival.com/speaker/amanda-cox/
69. TEDTalks “Myths about the developing world“ (2006) | Hans Rosling
http://youtu.be/hVimVzgtD6w?t=1m1s
70. The Growth of Newspapers Across the US | Stanford
http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers
71. The Growth of Newspapers Across the US | Stanford
http://www.stanford.edu/group/ruralwest/cgi-bin/drupal/visualizations/us_newspapers
76. 1. Magazine Style
Dot point map of cholera deaths | Jon Snow
http://www.casa.ucl.ac.uk/martin/msc_gis/map_making_myth_making.pdf
77. 2. Annotated Chart
Why Is Her Paycheck Smaller? | New York Times
http://www.nytimes.com/interactive/2009/03/01/business/20090301_WageGap.html
78. 3. Partitioned Poster
Steroids or not, the pursuit is on | New York Times
http://vis.stanford.edu/images/figures/case-bonds.png
79. 4. Flow Chart
Graphic of Napoleon's March (1869) | Charles Joseph Minard
http://www.edwardtufte.com/tufte/posters
80. 5. Comic Strip
Drought‟s footprint | New York Times
http://www.nytimes.com/interactive/2012/07/20/us/drought-footprint.html
81. 6. Slide Show
Rise of the Megacities | The Guardian
http://www.guardian.co.uk/global-development/interactive/2012/oct/04/rise-of-megacities-interactive
82. 7. Video/Animation
Visualizing how a population grows to 7 billion | NPR
http://www.npr.org/2011/10/31/141816460/visualizing-how-a-population-grows-to-7-billion
90. Visualizing the London 2012 Olympic
Games we will see the best of the best compete for pride,
This summer,
glory, and, of course, medals at the Olympics. From kilograms
lifted in weightlifting to the number of individual countries
competing to the number of medals won by competing nations - the Olympics
provides a barrage of numbers that are ripe for designers to analyze and
visualize.
We challenge you to use data and design to visualize the Olympics, helping us
understand and enjoy as we watch. For instance, you could create a piece that
contextualizes each country‟s medal count with information about their
population, GDP, and athletic training resources. Or you could illuminate the
results of a particular event or the impact of hosting the London 2012 Olympics
Games on the UK's economy.
“We‟re looking for any data-driven project that
brings new insight, context, or comparison to our
93. Establish Narrative/Data Questions
Repeat for all relevant sports and events:
• Comparison between patterns for different medals?
• What % improvement in time has there been?
• Which events have improved the most and the least?
• Comparison between progress of men and women?
- Is one gender improving more than the other?
- Any evidence of women getting closer to men?
98. Evaluation
Understanding (10 Points):
How effectively does the visualization communicate?
How well does it help you make sense of this issue?
Originality (5 Points):
Are the approach and design innovative?
Style (5 Points):
Is the visualization aesthetically compelling?
99. Evaluation
Andy Kirk's “The Pursuit of Faster” also
earned an honorable mention for its
level of data analysis that was
unmatched by most, if not all, of the
challenge entries. Its focused and
thorough narrative further distinguished
the project from the other interactive
entries.
104. The 8 Hats of Data Visualisation
Project
Initiator Journalist Communicator
Manager
Cognitive Design Computer Data
Science Science Science
105. 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
106. 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…
With data so large and potentially complex, the importance of clarity of purpose, goals and analytical perspective is great.
So we can classify the purposes but there is another dimension, that of ‘tone’.We mentioned earlier the battle between art and science…
On one hand the ‘scientists’ believe…
On the other hand, more creative and abstract practitioners are creating works that blow away the conventional bar charts…
With data so large and potentially complex, the importance of clarity of purpose, goals and analytical perspective is great.
With data so large and potentially complex, the importance of clarity of purpose, goals and analytical perspective is great.
Use colour to enhance and clarify a design not obscure, ‘shout’ or confuseTo measure/encode/highlight data values
Use scatter plots to undertake visual analysis and immerse yourself in your raw material
With data so large and potentially complex, the importance of clarity of purpose, goals and analytical perspective is great.
Your role is almost that of the movie director, managing all the different streams of tasks and thoughts in order to bring together a cohesive final work
Use colour to enhance and clarify a design not obscure, ‘shout’ or confuseTo measure/encode/highlight data values
Use colour to enhance and clarify a design not obscure, ‘shout’ or confuseTo measure/encode/highlight data values
Whilst serendipitous discovery should be encouraged and accommodated, the parameters surrounding a project mean that tactics, efficiency and focus are paramount Often linked to brief: Are you commissioned to create a specific design to tell a specific story or rather encouraged to find your own important story to tell?
Use colour to enhance and clarify a design not obscure, ‘shout’ or confuseTo measure/encode/highlight data values
Whereas here the efforts to gather insights are so great that we get very little reward
Never use colour/Hue to portray quantitative values
Every visual property should serve a purpose
Importance of visual annotation to highlight a key insight – as seen by these trend line and reference markers
Discussion about tools, when to finish and how to evaluate
Books
With data so large and potentially complex, the importance of clarity of purpose, goals and analytical perspective is great.
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’.
