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Concepts and Strategies for Developing Effective Data Visualizations - - PowerPoint PPT Presentation

Concepts and Strategies for Developing Effective Data Visualizations Becky Bates GCE Solutions 1 Outline Key Drivers for Effective Visuals Design Considerations Dos and Donts Putting it all together 2 Key Drivers of


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Concepts and Strategies for Developing Effective Data Visualizations

Becky Bates

GCE Solutions

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Outline

  • Key Drivers for Effective Visuals
  • Design Considerations
  • Do’s and Don’ts
  • Putting it all together

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Key Drivers

  • f Effective

Data Visuals

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Telling The Story

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Picme Nogude

Time

Iwurk Biomarker ug/dl

Figure A Time

Iwurk Biomarker ug/dl

Figure B

Which graph is better?

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Information Transfer Rate*

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*Edward Tufte concept

ITR = time it takes for a individual to understand the information (i.e. story) being depicted in the data visual

Goal it to minimize this time as much as possible

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Venue

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  • Presentation
  • Poster
  • Journal
  • Regulatory Agency
  • Internal Scientific Meetings
  • Internal Executive Meetings

Visualization considerations greatly depend on the venue:

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Design Considerations

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Type of Graph

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Pie Chart Bar Charts Scatter Plot Tree Map Bubble Plot Box Plot Heat Map Line Graphs

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Graphing Elements

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Lines Fonts

Ordering and Juxta positioning Movement

Details

Color

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Visual Comparisons: Shape Matters

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Which set is Blue twice the size of Yellow?

Set 2 Set 1 Set 3

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Visualization Do’s and Don’ts

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Visualization Litmus Test Does the visual maintain the mathematical relationship? Yes – your on your way No – stop and fix

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Preservation of Comparison

Don’t Do Key concept with bar charts: Length of bar informs the reader of the magnitude. Need to preserve that relationship. This is especially important when comparing 2 groups.

25 50 75 100

Figure A

Blue looks 2 x Larger than Orange

%

25 50 75 100

Figure B

Blue is actually is 0.5 x Larger than Orange

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Axes Consistency

Do Key concept with consistency: When creating visualizations across a presentation, need to keep consistent scales throughout for similar data especially if comparisons between the measures will be part of the story.

%

Don’t

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SAE Bleed Rate Mortality Rate

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Bleed rates look similar to mortality rates

100 25 50 75 25 50 75 100

SAE Bleed Rate Mortality Rate Bleed rates are actually less than the mortality rate

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Preservation of Time Scale

Key concept with line graphs The slope of the line conveys to the reader the rate of increase/decrease. This slope is preserved only when the numerical scale is preserved.

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Don’t Do

Figure A Figure B

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Avoid Chart Junk

Chart Junk: Anything that does not contribute to or distracts the user’s understanding of the “data story”

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Putting it all together

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Trial Example

Therapeutic Area: Nomophobia Fear of being without mobile phone coverage

(http://www.telegraph.co.uk/news/science/10289366/13-of-the-most-unusual-phobias.html)

Trial: Double-blind International Study Comparing Oral Nomophone vs Nothing in Exasperated Cellular Telephone users

DISCONNECT

Treatments: 150 mg Nomophone vs Nothing Baseline Measures: Age (yrs) Age 1st Cell Phone Age 1st Cell Phone Class (<13 yrs, 13-18 yrs, 19-24 yrs, >=25 yrs) Length of Cell Exposure (Age – Age 1st Cell) Nomophobia Questionaire (NMP-Q)

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DISCONNECT Primary Endpoint

Primary Measure:

International Cellular Assessment of Nomophobia Tolerance Scale ICANT Scale

Definition: Take phone away until patient demands to have it back. Earn

1 pt every 15 mins without phone Earn 1 pt for each of the following every 15 mins without phone: Change in heart rate < 5 bpm Figgity Scale <= 2 Lack of Focus Scale <= 2 Anxiety Scale <= 2 ICANT Score = sum of all points earned while phone was removed

Primary Enpoint: % Responders Responder = ICANT Scale > 20 pts

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Color and Movement Example

NMP-Q Score

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Color Example

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Lines, Font, and Scale Example

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Lines, Font, and Scale Example

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Spatial vs Temporal and Order Example

Responder Visual

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Spatial vs Temporal and Order Example

Sub-score Visual

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Spatial vs Temporal and Order Example

Responder and Subscore Visual Combined

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In Summary

Key Drivers

  • What is your story
  • How quicky is your story being conveyed
  • Venue

Elements to considers:

  • Graph type
  • Spatial Arrangement
  • Ordering of information
  • Colors
  • Lines
  • Fonts
  • Movement
  • Details
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THANK YOU

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