11. The worst visualisation adds no value to the data
http://www.bloomberg.com/news/2014-12-19/wall-street-firms-endure-lost-decade-after-goldman-peak-in-2007.html?hootPostID=32a4ad8c4a1454db9676f05959b22c09
18. Visualisation literacy: 21st Century skillset
Subject neutral: Entirely portable craft
For all: Creator, consumer, commissioner
ROI not easy: Pursuit of ‘better’
Why relevant?
43. “...this example reinforces my thesis that in order to
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”
“...this example reinforces my thesis that in order to
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
57. “A photo is never 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
“A photo is never 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
62. http://13pt.com/projects/nyt071211/
What is the duration of a single lunge
feed?
How deep do whale’s dive when
feeding?
What is a whale’s speed during lunge
feeding?
What are the mechanics of the lunge
feeding action?
How many tons of krill are consumed in
each feed?
How long can a whale maintain the
lunge cycle?
Photo-journalistic: Angles included
63. http://13pt.com/projects/nyt071211/
In which seas/oceans do fin whales
tend to exist?
What is the population of fin whales?
Is this feeding pattern leading to
reduction in krill?
Do all whales follow a similar feeding
action?
Does it differ between male/female,
young/old?
Have these actions changed over time?
Photo-journalistic: Angles excluded
64. Be motivated by curiosity and a
desire to effectively convey your
understanding to others.
Takeaway #2: Journalistic thinking
66. If I was them, what would I want to know?
How would I want to it be presented?
Audience empathy
http://zeldalily.com/wp-content/uploads/2012/11/guess-who.jpg
74. What mental visualisations – instinctive
keywords and imagery – form when you
think about a task: its intended recipients,
the subject matter and its data?
Takeaway #3: Imaginative thinking
77. Comparing
quantitative and
categorical values
Plotting trends
and changes over
time
Charting
hierarchical &
part-to-whole
relationships
Mapping spatial
data
Graphing
connections and
multivariate
relationships
The taxonomy of chart types: CHRTS
85. COLOUR: Quantitative data = Show magnitude
http://www.nzz.ch/aktuell/inland-sommerserie-schweizer-karten-interaktiv/vergleich-strom-versorger-1.18120907
86. INTERACTIVITY: Multiple points of entry
http://www.nytimes.com/interactive/2011/05/31/business/economy/case-shiller-index.html?smid=tw-share&_r=3&
91. “#8 Good design is thorough down to the last detail...
Nothing must be arbitrary or left to chance.”
Dieter Rams’ ‘10 principles of good design’
“Good design is thorough 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
92. Be able to justify every design decision
http://www.oecd.org/dac/peerreviewsofdacmembers/PRFINLAND2012.pdf
94. The real craft behind 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
97. “There's a strand of 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
“There's a strand of 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
102. 1. Establish the visualisation’s purpose
2. Acquire, familiarise with and prepare
your data
3. Determine the editorial focus of your
subject matter
4. Conceive your design: data
representation and presentation
5. Construct and complete your design
solution
PRACTICAL
CREATIVE
103. Pursue an effective and efficient workflow
to sequence and optimise your thinking.
Takeaway #5: Organised thinking
