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Vital Visualizations
Drew Marco
Daugherty Business Solutions
andrew.marco@daugherty.com
Agenda
 Overview
 History of Visualizations
 Visual Design Influences
 The Goldfish Effect
 Design Considerations
 Listener Segmentation
 Correlation != Causation
 Best Practices
 Q&A
 References
Overview
Overview
 How do you ensure your visualizations are vital to your business
 How the brain processes visual images
 Why the processing of visual images impacts your design
 Important design considerations
Characteristics
Non-Visual Data
Produce an
Image
Readable &
Recognizable
History of Visualizations
 Ptolemy’s World Map (2 A.D.)
History of Visualizations
 Bar and Time Series Plot of Economic and Agricultural Data
History of Visualizations
History of Visualizations
History of Visualizations
 Cholera Map of London
John Snow did know something after all!!!
History of Visualizations
History of Visualizations
History of Visualizations
Author vs. Reader Driven
• Does not allow interactivity for the
reader
• Author determines information gleaned
from the visualization
• Also known as Explanation or Guided
Analytics
Author
Driven
• Allows interactivity for the reader
• Users play with data
• Users gather their own interpretation
and understanding of information
• Also known as Exploration or Self-service
analytics
Reader
Driven
Source: Narrative Visualizations: Telling Stories with Data
Visual Design Influences
Visualization Design Influences
Photography
ArtPsychology
Writing
Visual Design Influences
Writing
Telling a Story
Narrative
Descriptive
Expository
Persuasive
Writing:
• Narrative
• Telling a story (fiction,
non-fiction, essay, etc.)
• Descriptive
• Creating a vivid picture
of a noun (person, place
or idea)
• Expository
• To the point; factual
writing (instructions,
directions, etc.)
• Persuasive
• Using writing to express
an opinion or take a
stance through your
writing
Visualizations:
• Narrative
• Combination of the story
and numbers
• Descriptive
• Utilizing visual
presentation to describe
the data set
• Expository
• Minimalist visualization
conveying meaning to
audience
• Persuasive
• Presenting data in a way
which allows the viewer to
easily understand the point
of view
The Writer’s Block
 Many writers have provided advice on their writing process
 Some of this information can be applied to data visualizations
 Rudyard Kipling:
 “If history were taught in the form of stories, it would never be forgotten.”
 Roald Dahl
 “I don’t care if a reader hates one of my stories, just as long as he finishes the book.”
 William Zinsser
 “To defend what you’ve written is a sign that you are alive.”
 Tom Clancy
 “I do not over-intellectualize the production process. I try to keep it simple. Tell the damned
story.”
 Carl Sandburg
 “Beware of advice – even this.”
There are lies, damn lies and statistics
 Mark Twain Writing Advice
 “Get your facts first and then you can distort them as much as you please.”
 “You need not expect to get your book right the first time.”
 “Use plain, simple language, short words and brief sentences. That is the way
to write English – it is the modern way and the best way. Stick to it; don’t let
fluff and flowers and verbosity creep in.”
 “Facts are stubborn, but statistics are more pliable.”
 “A successful book is not made of what is in it, but what is left out of it.”
 “One should never use exclamation points in writing. It is like laughing at your
own jokes.”
 “Write what you know.”
 “Don’t use passive voice; Timid writers like passive verbs for the same
reason that timid lovers like passive partners. The passive voice is safe.”
 “Don’t obsess over perfect grammar. The object of fiction isn’t
grammatical correctness but to make the reader welcome and then tell a
story.”
 “You have three months. The first draft of a book – even a long one –
should take no more than three months, the length of a season”
 “Write one word as a time”
 “Eliminate distraction. There should be no telephone in your writing
room, certainly no TV or video games for you to fool around with”
Overall Visualization Process
Research
Data
Vet Data
Sources
Filter
Findings
Determine
Visualization
Type
Craft Story
Review &
Revise
• Business Question
• Focus on Nouns
• Identify Data Sources
• Trustworthy Data Only
• Data Consumer Confidence
• Start with full data
• Pare down
• Important Elements Only
• Refer to flow chart
• Keep Interesting
• Keep Simple
• Creative & Analytical Resources
• Be original
• New POV
• Unbiased 3rd Party
• Feedback
• Enhance
Visual Design Influences
Photography
Photography Influence
Photograph Visualization
Message Bountiful snow, how
small people are
compared to
mountain of snow
What is the message
you are trying to tell
to your audience?
Intent Everything (picture
frame, shutter
speed, depth of
field, etc.) derived
from intent
Everything (Colors,
visualization type,
scale, scope, etc.)
derived from intent
Considerations Snow in 2/3 of
photo, skiers small,
focused on primary
subject (snow),
filtered sunlight
accordingly
Vivid color scheme,
appropriate scale,
scope of
visualization,
filtered data
accordingly
Visual Design Influences
Art
Visual Design Influences
Principles of Design
Balance
Gradation
Repetition
Contrast
Dominance
Harmony
Unity
Visual Design Influences
 Balance
 Visually consistent arrangement of elements
Visual Design Influences
 Gradation
 Showing linear perspective through changes in size or color
Visual Design Influences
 Repetition
 Presentation of the same image in a pattern; with
variation is interesting; without variation can be
monotonous
Visual Design Influences
 Contrast
 The juxtaposition of opposing elements – colors, shapes, sizes, etc.
Visual Design Influences
 Dominance
 Using object size (typically larger)
to draw attention
Visual Design Influences
 Harmony
 Combining similar, related elements for visually appealing result
Visual Design Influences
 Unity
 Visual linking of various elements in the work
Visual Design Influences
Cognitive Psychology
Cognitive Psychology
Deals with mental processes such as attention,
perception, creativity, thinking, etc.
Of these processes, perception has the largest
impact on visualizations
Understanding perception allows you to
“hack” your users’ brain
Create more efficient visualizations
Perception
 Most important for visualizations
 Process by which human brain takes in external stimuli from the surrounding
environment (i.e. the way the human brain “sees” information in dashboards and
visualizations)
 Pre-attentive processing
 Electronic process within the brain
 Attentive processing
 Physical process requires changes in synapses between neurons in the brain
 Involves the subconscious processing of visuals
 Quickly processes:
 Position, Color (Hue and Intensity), Alignment, Size and Shape
 Does not quickly process:
 Text and Numbers – requires focus and attention to process
Number Crunching
On average it probably took
5-10+ seconds to spot TURTLE
Number Crunching
 Spot the different number
Sales by Date
Date Monday Tuesday Wednesday Thursday Friday
12/10/2015 12345 12345 12345 12345 12345
12/11/2015 12345 12345 12345 12345 12346
12/12/2015 12345 12345 12345 12345 12345
12/13/2015 12345 12345 12345 12345 12345
12/14/2015 12345 12345 12345 12345 12345
12/15/2015 12345 12345 12345 12345 12345
12/16/2015 12345 12345 12345 12346 12345
12/17/2015 12345 12345 12345 12345 12345
The average person takes 3-4 seconds to spot the different number
I Spy with My Little Eye
 Spot the different shape
Pre-attentive visual features allow processing within 40-50 milliseconds
Spitting image
 How many black dots can you see at one time?
Principles of Perception
 Proximity
 Objects placed close together are perceived as a group
 Similarity
 Objects sharing similar attributes, such as color or
shape, are perceived as a group
 Enclosure and Continuity
 Objects with a boundary or continuation around them
are perceived as a group
 Closure
 Open structures can be easily perceived as closed,
complete
The Goldfish Effect
The Goldfish Effect
2013
Average American Attention Span
Goldfish Attention Span
12 seconds
9 seconds
8 seconds
Average American Attention Span
2000
Attention Span
 More than ever, research is highlighting a trend in reduced attention and
concentration spans … the younger generations appear to be the worst
afflicted.
 Sociologist David Moxon
 … individuals who multi-task emails, phone calls and social-networking sites
have more trouble paying attention and focusing on important information.
 The New York Times
“Calgon, Take Me Away”
 When you are stressed … this stress takes a lot of resources from your brain
and interferes with your capacity to encode any new information.
 Center for Studies on Human Stress
Design Considerations
Design Considerations
 Audience Considerations
 Avoid Charting Tricks
 Common Mistakes
Audience Considerations
 What information is needed to be successful?
 What is the correct level of detail?
 What actions can be taken and what values need action?
 What learned or cultural assumptions may affect design choices?
 What do colors mean? Which icons are familiar?
 Don’t forget color blindness
 Color blind friendly color palettes
 http://colorlab.wickline.org/colorblind/colorlab/
Avoid Charting Tricks
http://danspira.com/2009/07/08/same-data-different-graphs
Avoid Charting Tricks
Design Considerations
 Gridlines are best kept subtle
 Avoid displaying excessive detail
 Don’t highlight unimportant information
 Dashboards should fit entirely on one screen
 Avoid adding unnecessary/useless decoration
 Avoid an unappealing visual design
 Avoid text heavy Infographics
Common Mistakes
 Inappropriate display choices distorting reality
 Variety just because…
 Too much information
 Poorly designed (noisy fill patterns, line styles, or saturated/bright colors)
 Inaccurate encoding of quantitative data
 Inconsistent ordering and placement
 Inconsistent or reversed scales
 Proportional axis scaling
 Using counts vs. percentages when comparing periods with different totals
Listener Segmentation
Listener Segmentation
Novice
• New to the subject, but does not want oversimplification
Generalist
• Aware of the topic, looks for an overview and the story’s major themes
Management
• Seeks in-depth actionable understanding with access to detail
Expert
• Wants more exploration and discovery with less story-telling
Executive
• Needs to know the significance and conclusions of weighted probabilities
Source: Jim Stikeleather, Dell Executive Strategist in Harvard Business Review Article
Correlation != Causation
Correlation doesn’t imply causation, but it does waggle its eyebrows suggestively
and gesture furtively while mouthing ‘look over there’.
Facts are stubborn, but statistics are
more pliable
 Running Back “A”
 Most rushing TDs since entering the NFL
 Sixth in fantasy points among RBs since
joining NFL
 He has never missed a game
 Only three RBs have more 1st Downs in
the last two years
 Eighth in total yards after contact since
2014 (among active RBs)
 Averaged 7 yards per reception
 No WR/RB/TE touched the ball more on
his team last season
 His team’s offense was one of the 10
highest scoring offenses in the league
 Running Back “B”
 Averaged 3.56 yards per carry (42nd
among RBs with at least 100 carries)
 49th in running routes among RBs
 Finished with fewer than 6 fantasy
points in 8 different games
 Had at least 5 different games with at
least 9 touches and 2 or fewer points
 Averaged 2.2 yards per carry on red
zone carries
 No RB in the NFL has lost more fumbles
over the last two seasons
 Career lows in total yards, yards per
carry, receptions, receiving yards and
fantasy pointsBengals RB Jeremy Hill
Best Practices
Best Practices
Empower Context
Digestible Engagement
• Present KPIs (metrics) compared to goals
• Use color to differentiate different
metrics
• Regularly scheduled email delivery
• Metric driven report notifications
• Interactive Visualizations
• Information inspires action
• Actionable and meaningful content
• Cannot be everything to everyone
• Center of Excellence (COE)
• Supports consistency
• Tips and Tricks
Visualization Categories
• Compare two variables
• Show trends over time
• Also known as Time Series
Line Charts
• Compare quantities of different quantities
• Grouped Data ElementsBar Charts
• Similar to Line Chart
• Show how much one variable is affected by another (Correlation)Scatter Plots
• More complex Scatter Plot
• Shows how much one variable is affected by two others
• The size of the bubble denotes value of third variable
Bubble Charts
• Compare parts to the whole (proportion of slice arc to whole)
• Can be difficult to compare different slices of pie or across different pies
• Total of values should equal 100(%)
Pie Charts
Choose the Right Tool
Additional Visualization References
 Stephen Few
 http://perceptualedge.com
 Edward Tufte
 http://edwardtufte.com/tufte
 Jen Underwood Blog
 http://www.jenunderwood.com/gallery.htm
 Word Clouds
 http://www.wordle.net
 Chandoo
 http://chandoo.org/wp/excel-dashboards/
 Clearly and Simply
 http://www.clearlyandsimply.com
Q & A
Verily, this vichyssoise of verbiage veers most verbose
References
References
 https://en.wikipedia.org/wiki/Charles_Joseph_Minard
 https://public.tableau.com/en-us/s/blog/2016/08/lessons-photography-how-
better-visualize-data
 http://www.express.co.uk/life-style/science-technology/709791/12-Black-
Dots-Optical-Illusion-Ninio-s-Extinction
 https://xkcd.com/552/
 http://vis.stanford.edu/papers/narrative
 http://www.tylervigen.com/spurious-correlations
 http://www.bl.uk/learning/timeline/large126360.html

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Vital visualizations 2016 10 05

  • 1. Vital Visualizations Drew Marco Daugherty Business Solutions andrew.marco@daugherty.com
  • 2. Agenda  Overview  History of Visualizations  Visual Design Influences  The Goldfish Effect  Design Considerations  Listener Segmentation  Correlation != Causation  Best Practices  Q&A  References
  • 4. Overview  How do you ensure your visualizations are vital to your business  How the brain processes visual images  Why the processing of visual images impacts your design  Important design considerations
  • 7.  Ptolemy’s World Map (2 A.D.) History of Visualizations
  • 8.  Bar and Time Series Plot of Economic and Agricultural Data History of Visualizations
  • 10. History of Visualizations  Cholera Map of London John Snow did know something after all!!!
  • 14. Author vs. Reader Driven • Does not allow interactivity for the reader • Author determines information gleaned from the visualization • Also known as Explanation or Guided Analytics Author Driven • Allows interactivity for the reader • Users play with data • Users gather their own interpretation and understanding of information • Also known as Exploration or Self-service analytics Reader Driven Source: Narrative Visualizations: Telling Stories with Data
  • 18. Telling a Story Narrative Descriptive Expository Persuasive Writing: • Narrative • Telling a story (fiction, non-fiction, essay, etc.) • Descriptive • Creating a vivid picture of a noun (person, place or idea) • Expository • To the point; factual writing (instructions, directions, etc.) • Persuasive • Using writing to express an opinion or take a stance through your writing Visualizations: • Narrative • Combination of the story and numbers • Descriptive • Utilizing visual presentation to describe the data set • Expository • Minimalist visualization conveying meaning to audience • Persuasive • Presenting data in a way which allows the viewer to easily understand the point of view
  • 19. The Writer’s Block  Many writers have provided advice on their writing process  Some of this information can be applied to data visualizations  Rudyard Kipling:  “If history were taught in the form of stories, it would never be forgotten.”  Roald Dahl  “I don’t care if a reader hates one of my stories, just as long as he finishes the book.”  William Zinsser  “To defend what you’ve written is a sign that you are alive.”  Tom Clancy  “I do not over-intellectualize the production process. I try to keep it simple. Tell the damned story.”  Carl Sandburg  “Beware of advice – even this.”
  • 20. There are lies, damn lies and statistics  Mark Twain Writing Advice  “Get your facts first and then you can distort them as much as you please.”  “You need not expect to get your book right the first time.”  “Use plain, simple language, short words and brief sentences. That is the way to write English – it is the modern way and the best way. Stick to it; don’t let fluff and flowers and verbosity creep in.”  “Facts are stubborn, but statistics are more pliable.”  “A successful book is not made of what is in it, but what is left out of it.”  “One should never use exclamation points in writing. It is like laughing at your own jokes.”  “Write what you know.”
  • 21.  “Don’t use passive voice; Timid writers like passive verbs for the same reason that timid lovers like passive partners. The passive voice is safe.”  “Don’t obsess over perfect grammar. The object of fiction isn’t grammatical correctness but to make the reader welcome and then tell a story.”  “You have three months. The first draft of a book – even a long one – should take no more than three months, the length of a season”  “Write one word as a time”  “Eliminate distraction. There should be no telephone in your writing room, certainly no TV or video games for you to fool around with”
  • 22. Overall Visualization Process Research Data Vet Data Sources Filter Findings Determine Visualization Type Craft Story Review & Revise • Business Question • Focus on Nouns • Identify Data Sources • Trustworthy Data Only • Data Consumer Confidence • Start with full data • Pare down • Important Elements Only • Refer to flow chart • Keep Interesting • Keep Simple • Creative & Analytical Resources • Be original • New POV • Unbiased 3rd Party • Feedback • Enhance
  • 24. Photography Influence Photograph Visualization Message Bountiful snow, how small people are compared to mountain of snow What is the message you are trying to tell to your audience? Intent Everything (picture frame, shutter speed, depth of field, etc.) derived from intent Everything (Colors, visualization type, scale, scope, etc.) derived from intent Considerations Snow in 2/3 of photo, skiers small, focused on primary subject (snow), filtered sunlight accordingly Vivid color scheme, appropriate scale, scope of visualization, filtered data accordingly
  • 26. Visual Design Influences Principles of Design Balance Gradation Repetition Contrast Dominance Harmony Unity
  • 27. Visual Design Influences  Balance  Visually consistent arrangement of elements
  • 28. Visual Design Influences  Gradation  Showing linear perspective through changes in size or color
  • 29. Visual Design Influences  Repetition  Presentation of the same image in a pattern; with variation is interesting; without variation can be monotonous
  • 30. Visual Design Influences  Contrast  The juxtaposition of opposing elements – colors, shapes, sizes, etc.
  • 31. Visual Design Influences  Dominance  Using object size (typically larger) to draw attention
  • 32. Visual Design Influences  Harmony  Combining similar, related elements for visually appealing result
  • 33. Visual Design Influences  Unity  Visual linking of various elements in the work
  • 35. Cognitive Psychology Deals with mental processes such as attention, perception, creativity, thinking, etc. Of these processes, perception has the largest impact on visualizations Understanding perception allows you to “hack” your users’ brain Create more efficient visualizations
  • 36. Perception  Most important for visualizations  Process by which human brain takes in external stimuli from the surrounding environment (i.e. the way the human brain “sees” information in dashboards and visualizations)  Pre-attentive processing  Electronic process within the brain  Attentive processing  Physical process requires changes in synapses between neurons in the brain  Involves the subconscious processing of visuals  Quickly processes:  Position, Color (Hue and Intensity), Alignment, Size and Shape  Does not quickly process:  Text and Numbers – requires focus and attention to process
  • 37. Number Crunching On average it probably took 5-10+ seconds to spot TURTLE
  • 38. Number Crunching  Spot the different number Sales by Date Date Monday Tuesday Wednesday Thursday Friday 12/10/2015 12345 12345 12345 12345 12345 12/11/2015 12345 12345 12345 12345 12346 12/12/2015 12345 12345 12345 12345 12345 12/13/2015 12345 12345 12345 12345 12345 12/14/2015 12345 12345 12345 12345 12345 12/15/2015 12345 12345 12345 12345 12345 12/16/2015 12345 12345 12345 12346 12345 12/17/2015 12345 12345 12345 12345 12345 The average person takes 3-4 seconds to spot the different number
  • 39. I Spy with My Little Eye  Spot the different shape Pre-attentive visual features allow processing within 40-50 milliseconds
  • 40. Spitting image  How many black dots can you see at one time?
  • 41. Principles of Perception  Proximity  Objects placed close together are perceived as a group  Similarity  Objects sharing similar attributes, such as color or shape, are perceived as a group  Enclosure and Continuity  Objects with a boundary or continuation around them are perceived as a group  Closure  Open structures can be easily perceived as closed, complete
  • 43. The Goldfish Effect 2013 Average American Attention Span Goldfish Attention Span 12 seconds 9 seconds 8 seconds Average American Attention Span 2000
  • 44. Attention Span  More than ever, research is highlighting a trend in reduced attention and concentration spans … the younger generations appear to be the worst afflicted.  Sociologist David Moxon  … individuals who multi-task emails, phone calls and social-networking sites have more trouble paying attention and focusing on important information.  The New York Times
  • 45. “Calgon, Take Me Away”  When you are stressed … this stress takes a lot of resources from your brain and interferes with your capacity to encode any new information.  Center for Studies on Human Stress
  • 47. Design Considerations  Audience Considerations  Avoid Charting Tricks  Common Mistakes
  • 48. Audience Considerations  What information is needed to be successful?  What is the correct level of detail?  What actions can be taken and what values need action?  What learned or cultural assumptions may affect design choices?  What do colors mean? Which icons are familiar?  Don’t forget color blindness  Color blind friendly color palettes  http://colorlab.wickline.org/colorblind/colorlab/
  • 51. Design Considerations  Gridlines are best kept subtle  Avoid displaying excessive detail  Don’t highlight unimportant information  Dashboards should fit entirely on one screen  Avoid adding unnecessary/useless decoration  Avoid an unappealing visual design  Avoid text heavy Infographics
  • 52. Common Mistakes  Inappropriate display choices distorting reality  Variety just because…  Too much information  Poorly designed (noisy fill patterns, line styles, or saturated/bright colors)  Inaccurate encoding of quantitative data  Inconsistent ordering and placement  Inconsistent or reversed scales  Proportional axis scaling  Using counts vs. percentages when comparing periods with different totals
  • 54. Listener Segmentation Novice • New to the subject, but does not want oversimplification Generalist • Aware of the topic, looks for an overview and the story’s major themes Management • Seeks in-depth actionable understanding with access to detail Expert • Wants more exploration and discovery with less story-telling Executive • Needs to know the significance and conclusions of weighted probabilities Source: Jim Stikeleather, Dell Executive Strategist in Harvard Business Review Article
  • 56. Correlation doesn’t imply causation, but it does waggle its eyebrows suggestively and gesture furtively while mouthing ‘look over there’.
  • 57.
  • 58.
  • 59.
  • 60. Facts are stubborn, but statistics are more pliable  Running Back “A”  Most rushing TDs since entering the NFL  Sixth in fantasy points among RBs since joining NFL  He has never missed a game  Only three RBs have more 1st Downs in the last two years  Eighth in total yards after contact since 2014 (among active RBs)  Averaged 7 yards per reception  No WR/RB/TE touched the ball more on his team last season  His team’s offense was one of the 10 highest scoring offenses in the league  Running Back “B”  Averaged 3.56 yards per carry (42nd among RBs with at least 100 carries)  49th in running routes among RBs  Finished with fewer than 6 fantasy points in 8 different games  Had at least 5 different games with at least 9 touches and 2 or fewer points  Averaged 2.2 yards per carry on red zone carries  No RB in the NFL has lost more fumbles over the last two seasons  Career lows in total yards, yards per carry, receptions, receiving yards and fantasy pointsBengals RB Jeremy Hill
  • 62. Best Practices Empower Context Digestible Engagement • Present KPIs (metrics) compared to goals • Use color to differentiate different metrics • Regularly scheduled email delivery • Metric driven report notifications • Interactive Visualizations • Information inspires action • Actionable and meaningful content • Cannot be everything to everyone • Center of Excellence (COE) • Supports consistency • Tips and Tricks
  • 63. Visualization Categories • Compare two variables • Show trends over time • Also known as Time Series Line Charts • Compare quantities of different quantities • Grouped Data ElementsBar Charts • Similar to Line Chart • Show how much one variable is affected by another (Correlation)Scatter Plots • More complex Scatter Plot • Shows how much one variable is affected by two others • The size of the bubble denotes value of third variable Bubble Charts • Compare parts to the whole (proportion of slice arc to whole) • Can be difficult to compare different slices of pie or across different pies • Total of values should equal 100(%) Pie Charts
  • 65. Additional Visualization References  Stephen Few  http://perceptualedge.com  Edward Tufte  http://edwardtufte.com/tufte  Jen Underwood Blog  http://www.jenunderwood.com/gallery.htm  Word Clouds  http://www.wordle.net  Chandoo  http://chandoo.org/wp/excel-dashboards/  Clearly and Simply  http://www.clearlyandsimply.com
  • 66. Q & A Verily, this vichyssoise of verbiage veers most verbose
  • 68. References  https://en.wikipedia.org/wiki/Charles_Joseph_Minard  https://public.tableau.com/en-us/s/blog/2016/08/lessons-photography-how- better-visualize-data  http://www.express.co.uk/life-style/science-technology/709791/12-Black- Dots-Optical-Illusion-Ninio-s-Extinction  https://xkcd.com/552/  http://vis.stanford.edu/papers/narrative  http://www.tylervigen.com/spurious-correlations  http://www.bl.uk/learning/timeline/large126360.html

Editor's Notes

  1. Non-Visual Data – A visualization’s purpose is to be the communicator of data Produce and Image – The visual must be the primary means of communication Readable & Recognizable – Must provide a way to learn something about the data
  2. Pre-History: Early visualizations focused on movements of stars, geography, maps, crop planting, and city development. They took the form of sand, rock and cave drawings, and later drawings on clay and papyrus. Ptolemy revolutionized map making with use of latitude and longitude to develop global coordinate system
  3. William Playfair – Scottish economist and politician; time series graphic showing trends in data over time This compares reigning monarchies (at top) to price of wheat (middle) to average wages for mechanics, smiths, masons and carpenters
  4. Charles Joseph Minard – French civil engineer noted for his contribution to Information Graphics in civil engineering and statistics Napolean’s Disastrous Russian Campaign of 1812 Represents two dimensions across six data types – Troops, Distance, Temperature, Latitude/Longitude, direction and location relative to dates Translation of text on graphic: Figurative Map of the successive losses in men of the French Army in the Russian campaign 1812-1813. Drawn by Mr. Minard, Inspector General of Bridges and Roads in retirement. Paris, 20 November 1869. The numbers of men present are represented by the widths of the colored zones in a rate of one millimeter for ten thousand men; these are also written beside the zones. Red designates men moving into Russia, black those on retreat. — The informations used for drawing the map were taken from the works of Messrs. Chiers, de Ségur, de Fezensac, de Chambray and the unpublished diary of Jacob, pharmacist of the Army since 28 October. In order to facilitate the judgement of the eye regarding the diminution of the army, I supposed that the troops under Prince Jèrôme and under Marshal Davoust, who were sent to Minsk and Mobilow and who rejoined near Orscha and Witebsk, had always marched with the army. Look at some of the things that we use today – Multiple dimensions on the graphic, combination of text and numbers, general flow of information from left to right, legend, etc.
  5. Prevailing wisdom was that cholera was spread by foul smelling mist “miasmas” John Snow believed that contaminated drinking water was the cause; if disease was carried on the air, instances of it would be widespread; however, if disease was caused by water, then instances would be localized. He created a map plotting London streets and incidences of cholera and public water pumps Based on this, he tracked the origin of the outbreak to the pump at Broad Street and he quickly advised decommissioning the pump. Subsequently, the cases of cholera quickly disappeared.
  6. Nathalie Miebach – an artist who generates the “visual articulation of scientific observations” Translates scientific data related to astronomy, ecology and meteorology into woven structures Basically creates three dimensional representation of the data on the grid of a woven basket This not what you typically think of when you hear the term visualization, but it is a type of visualization What kind of story do you think it tells? How effective is it?
  7. Focused on what information is needed to tell the story – Launch Angle; Batting Average and Average Exit Velocity Visually appealing Uses color (red vs. blue) to denote different meaning for some of the data points Shows relative launch angle by placement on the graphic – quickly understandable for the viewer
  8. Network distribution visualizations
  9. Stanford Researchers: Edward Segel, Jeffrey Heel
  10. Get your facts first and then you can distort them as much as you please Make sure that your underlying information is accurate; you can make the numbers lie afterwards You need not expect to get your book right the first time Develop, review, revise – Agile! Use plain, simple language, short words and brief sentences. That is the way to write English – it is the modern way and the best way. Stick to it; don’t let fluff and flowers and verbosity creep in Keep the data simple; do not add in too many layers of data or too many axes to the matrix Facts are stubborn, but statistics are more pliable Be careful to make sure that you do not skew the information presented in your visualization, as it is easy to make the numbers show what you want. (Example of statistical comparison from Matthew Berry)
  11. Don’t use passive voice; Timid writers like passive verbs for the same reason that timid lovers like passive partners. The passive voice is safe. Don’t stick with the traditional data visualization methods just because they are simple and easy; they may not be the best method Don’t obsess over perfect grammer. The object of fiction isn’t grammatical correctness but to make the reader welcome and then tell a story. Don’t obsess over perfect data quality when telling you story. Get the data quality sufficient for the type of story that you are telling You have three months. The first draft of a book – even a long one – should take no more than three months, the length of a season Time box your work (cleansing, transformation, analysis, reporting and formatting) to avoid heading into a rabbit hole from which you cannot return Write one word as a time Keep the scope of your work manageable; Do not try to present data to show the most profitable customers, products, stores, salesmen, month, region, etc. There will be too much information and it will be too difficult to accomplish all of this at one time Eliminate distraction. There should be no telephone in your writing room, certainly no TV or video games for you to fool around with Data Analysis and presentation teams should be able to focus on their work without being distracted by other time demands (work)
  12. A picture is worth 1000 words!
  13. Balance – The arrangement of elements in a way which is visually consistent Art shows a large shape close to the middle balanced by a small shape close to the edge Visualization shows the percentage of the total US population by age and Gender for a particular year (the values for each gender are shown against each other, balanced on either side of the middle of the visualization Visualization is from The Next America by Paul Taylor, April 10, 2014
  14. Gradation – Changing size and direction to produce linear perspective The gradation of color in the art draws the attention of the viewer’s eye down to the main subject – the person standing on the rock/mountain Visualization uses the gradation of color to show the frequency of pitch location for Trevor Bauer curve balls in 2016. The more intense the color on the heat map, the more frequently a pitch hit that area of the strike zone (from the catcher’s perspective) Visualization is from MLB Blogs (Bastian) in an article discussing the effectiveness of Trevor Bauer’s curveball in 2016 vs. 2015.
  15. Repetition – Presentation of the same image in a pattern; with variation is interesting; without variation can be monotonous Andy Warhol like print of Marilyn Monroe on the left (example from art) The visualization shows an arc diagram, which is a method of mapping the musical sequences within a particular song. This particular one is an arc diagram for Mozart’s Moonlight Sonata
  16. Contrast – The juxtaposition of opposing elements – colors, shapes, sizes, etc. Art shows how the form of the Frisbee throwing dude is visible due to the contrast of black and white and the alternating of black white in the same line (double constrast of sorts) Visualization shows Human breast lymphatic vessel (arrows) identified using CPS after intradermal injection of the microbubble contrast agent into the periareolar margin of the breast Visualization is from the Journal of Ultrasound in Medicine.
  17. Dominance – Using object size (typically larger size) to draw attention Art uses dominance to draw the viewers attention to the primary subject of the piece – the motorcycle rider, which is prominently placed in the “front” of the artwork and therefore draws the viewers attention Star Trek Visualization maps the relationships of every Star Trek character to other Star Trek characters based on the selected TV shows and/or movies Visualization is from FlowingData.com, a visualization blog with examples of visualizations
  18. Harmony – Combining similar, related elements for visually appealing result Art shows the harmony of colors, gradations, balance, dominance, etc. All of these design elements are tastefully used to make a pleasing visual work of art The Visualization shows the first 140 Twitter employees and how they relate to each other through mutual follows. Each arc shows a connection between two employees. The visualization contains balance, color gradiation, dominance and contrast put together to make the visualization more visually appealing AND easier to understand. Visualization is from FlowingData.com
  19. Unity – Visual linking of various elements in the work Art shows use of contrast (light/dark colors, small/big shapes), dominance (large dark spots draw attention), gradation (color shifting from lighter to darker) and repetition (repeating the linear looking shapes throughout the piece) Visualization also shows balance (visualization is blanced left to right of image), gradation (intensity of colors), repetition (vertical lines representing music notes), constrast (colors to black), etc. Visualization is from theappguruz.com and an article discussing how to build a music visualization in Unity
  20. Metaphor * Pre-attentive is like talking to a friend over Facetime * Attentive is like building the LTE network over which Facetime runs and then using Facetime to talk to a friend
  21. Your brain works with text differently than numbers. It also works with both differently than images. This is due to the effort your brain has to put into processing the text and numbers, versus what it can gain from perception.
  22. In order to view the information in this graph your brain must process it, since it is simply a set of numbers. The effort required to process this information takes time and therefore, it can be considered more difficult to understand.
  23. Your brain fills in the gaps in your peripheral vision with what it thinks should be there, assuming more grey lines The dots appear and disappear from your view of the image as your eyes move around it, based on what is seen in the peripheral vision
  24. Your brain fills in the gaps in your peripheral vision with what it thinks should be there, assuming more grey lines The dots appear and disappear from your view of the image as your eyes move around it, based on what is seen in the peripheral vision
  25. “When nothing is occupying my attention, the first thing I do is reach for my phone.” 77% of people ages 18-24 responded “Yes” 10% of people over age 65 responded, “Yes.” * Study from Microsoft Corp.
  26. Vertical Scaling Using large scaling on Y axis to exaggerate slope of lines Absolute Values Comparing actual numbers to percentages Narrower Context Skewing the estrapolation by filtering data out (one graph filters out past recessions, which skews the results presented in the graph)
  27. The first graph does not do as good of a job of showing the relationship between the actuals and budget, since the budget value is not normalized. The second graph keeps the budget value constant which more accurately compares the actual value to it.
  28. Jim Stikeleather, Dell Executive Strategist in Harvard Business Review Article
  29. Spurious Correlations
  30. Spurious Correlations
  31. Spurious Correlations