"Let's do some thinking about data visualisation thinking" talk given by Andy Kirk at the 'Data Visualization Group in the Bay Area' Meetup at the University of San Francisco, on Thursday 23rd October 2014 (http://www.meetup.com/visualizemydata/events/212438912/)
8. 1. Establish the visualisation’s purpose
PRACTICAL
CREATIVE
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
11. “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
30. “...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
31. Contextual thinking for visualisation
What’s the best visualisation solution?
It always depends.
40. What keywords and imagery come to mind?
ANALYSIS ABOUT THE IMPACT OF
PSYCHOTHERAPY TREATMENT ON
PATIENTS IN ALASKA, 2013
41. What keywords and imagery come to mind?
Care
Help
Support
Improvement
Deterioration
Healthy
Unhealthy
People
Individuals
Anonymised
Integrity
Authoritative
Sensitivity
Transparency
42. What keywords and imagery come to mind?
http://design-seeds.com/palettes/ArcticLove600.png
43. What keywords and imagery come to mind?
GRAPHIC TO MARK THE MILESTONE OF THE
500TH EXECUTION IN TEXAS
45. Imaginative thinking for visualisation
What mental visualisations – instinctive
keywords and imagery – form when you
think about a task, its topic and its data?
51. One to watch: Christopher Ingraham, Washington Post
http://www.washingtonpost.com/people/christopher-ingraham
52. “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
61. Pattern matching, sense-making, sniffing out the story
http://www.nytimes.com/interactive/2014/10/19/upshot/peyton-manning-breaks-touchdown-passing-record.html?abt=0002&abg=0
62. Journalistic thinking for visualisation
What triggers your data-focused curiosity?
What ‘photos’ of your data do you need to
convey your message?
65. “There is a tendency to just reflexively make fun of
certain types of charts, in particular pie charts and
3D charts. While that is often justified, there are also
exceptions... we have to suppress the knee-jerk reflex
and give them a moment of thought
before ripping them apart.”
Robert Kosara
http://eagereyes.org/blog/2014/beyond-the-knee-jerk-reaction
71. “#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’
https://www.vitsoe.com/gb/about/good-design