Art of Science : choosing the best graphical representation to make decision

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This document discusses the importance of storytelling and choosing the right graphical representations for data visualization. It provides guidelines for effective storytelling, including supplying context, insights, and explanations rather than just data. A roadmap is presented for selecting the appropriate chart type based on whether the data involves comparison, distribution, relationships, or composition. Examples of treemaps, box plots, and maps are described. The objectives are to introduce storytelling techniques and provide a systematic way to choose visuals that enhance understanding and insights for stakeholders.

Technology

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Art of Science : choosing the
best graphical representation to
make decision

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2
Contents
Objectives
Storytelling
Roadmap to choosing the right chart
Where to learn more
In review

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Objectives
• Introduce Storytelling and how it
ensures that your data reach its
maximum value
• Present a logical and systematic way
to choose a graphical representation
of the data
Analytics Meetup Geneva 16 May 2018 3

KEEPITSIMPLE
Storytelling
DO
• Supply relevant context
• Provide insights meaningful to
the stakeholders
• Explain the «Why ?» instead of
the «What ?»
DON’T
• Let stakeholders interpret the
data freely
• Fit your data to your story
• Only provide visual
representations
Analytics Meetup Geneva 16 May 2018 4
«The fact is that stories stick and numbers don’t»
Kimberley Nevala

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Storytelling – What we can do
5Analytics Meetup Geneva 16 May 2018
United States presidential primary elections, 2016
Only 9% of America Chose Trump and Clinton as the Nominees
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1

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Storytelling – What we can do
6
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
7
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
8
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
9
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
10
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
11
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we can do
12
Source : New-York Times
https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we must not do
13Analytics Meetup Geneva 16 May 2018

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Storytelling – What we must not do
14
Source : WTF Visualizations
http://viz.wtf/
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we must not do
15
Source : WTF Visualizations
http://viz.wtf/
Analytics Meetup Geneva 16 May 2018

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Storytelling – What we must not do
16
Source : WTF Visualizations
http://viz.wtf/
Analytics Meetup Geneva 16 May 2018

KEEPITSIMPLE
Storytelling – What we must not do
17
Source : WTF Visualizations
http://viz.wtf/

KEEPITSIMPLE
Road map to choosing a chart
Analytics Meetup Geneva 16 May 2018 18

KEEPITSIMPLE
Chart Suggestions—A Thought-Starter
19Analytics Meetup Geneva 16 May 2018

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Representing Comparison
Analytics Meetup Geneva 16 May 2018 20

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Representing Distribution
Analytics Meetup Geneva 16 May 2018 21

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Representing Relationship
Analytics Meetup Geneva 16 May 2018 22

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Representing Composition
Analytics Meetup Geneva 16 May 2018 23

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Using a Treemap
Analytics Meetup Geneva 16 May 2018 24
When use it ?
• To display up to 2
quantitative variables
arranged in a hierarchy
Advantages
• Well suited to find patterns, clusters,
gaps or outliers in large data sets
• Particularly useful when data can be
grouped into hierarchies
• Able to point out important values
in a matter of seconds
Limitations
• Large data sets with equally sized
nodes
• Time series, negative values

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Using a Box Plot
Analytics Meetup Geneva 16 May 2018 25
When use it ?
• Show the distribution of
a dataset
Advantages
• Able to handle large datasets easily
• Provide indications about the
datasets distribution and symmetry
Limitations
• Limited usage and comprehension
outside of experts community
• Exact value of the data is lost

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Using a Map
Analytics Meetup Geneva 16 May 2018 26
When use it ?
• Spatial representation
and business
information together
Advantages
• Maps bring data to life
• Make it easier for business users to
identify the significant trends and
issues contained in most reports and
dashboards
Limitations
• Unable to show time series, unless
animated

KEEPITSIMPLE
In Review
Storytelling
• Is needed to provide contextualisation and insights to stakeholders
• Has to fit the data
Choosing the right chart
• Can be automated by following a number of rules
Both
• Enhance the value of the data
• Ensure the stakeholders can obtain the same insights as the analyst
27Analytics Meetup Geneva 16 May 2018

KEEPITSIMPLE
Where To Learn More
Books:
• Storytelling with Data: A Data Visualization Guide for Business Professionals (Cole Nussbaumer
Knaflic)
• Cool Infographics: Effective Communication with Data Visualization and Design (Randy Krum)
• Visual Insights: A Practical Guide to Making Sense of Data (David E. Polley)
Websites:
https://www.edx.org/learn/data-visualization (Data Visualization Courses)
https://datavizcatalogue.com/search.html
https://www.oracle.com/solutions/business-analytics/data-visualization/library.html
https://it.toolbox.com/blogs/maryannrichardson/why-data-storytelling-083116
http://extremepresentation.typepad.com
28Analytics Meetup Geneva 16 May 2018

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Art of Science : choosing the best graphical representation to make decision

1. KEEPITSIMPLE Art of Science : choosing the best graphical representation to make decision

2. KEEPITSIMPLE 2 Contents Objectives Storytelling Roadmap to choosing the right chart Where to learn more In review

3. KEEPITSIMPLE Objectives • Introduce Storytelling and how it ensures that your data reach its maximum value • Present a logical and systematic way to choose a graphical representation of the data Analytics Meetup Geneva 16 May 2018 3

4. KEEPITSIMPLE Storytelling DO • Supply relevant context • Provide insights meaningful to the stakeholders • Explain the «Why ?» instead of the «What ?» DON’T • Let stakeholders interpret the data freely • Fit your data to your story • Only provide visual representations Analytics Meetup Geneva 16 May 2018 4 «The fact is that stories stick and numbers don’t» Kimberley Nevala

5. KEEPITSIMPLE Storytelling – What we can do 5Analytics Meetup Geneva 16 May 2018 United States presidential primary elections, 2016 Only 9% of America Chose Trump and Clinton as the Nominees Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1

6. KEEPITSIMPLE Storytelling – What we can do 6 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

7. KEEPITSIMPLE Storytelling – What we can do 7 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

8. KEEPITSIMPLE Storytelling – What we can do 8 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

9. KEEPITSIMPLE Storytelling – What we can do 9 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

10. KEEPITSIMPLE Storytelling – What we can do 10 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

11. KEEPITSIMPLE Storytelling – What we can do 11 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

12. KEEPITSIMPLE Storytelling – What we can do 12 Source : New-York Times https://www.nytimes.com/interactive/2016/08/01/us/elections/nine-percent-of-america-selected-trump-and-clinton.html?_r=1 Analytics Meetup Geneva 16 May 2018

13. KEEPITSIMPLE Storytelling – What we must not do 13Analytics Meetup Geneva 16 May 2018

14. KEEPITSIMPLE Storytelling – What we must not do 14 Source : WTF Visualizations http://viz.wtf/ Analytics Meetup Geneva 16 May 2018

15. KEEPITSIMPLE Storytelling – What we must not do 15 Source : WTF Visualizations http://viz.wtf/ Analytics Meetup Geneva 16 May 2018

16. KEEPITSIMPLE Storytelling – What we must not do 16 Source : WTF Visualizations http://viz.wtf/ Analytics Meetup Geneva 16 May 2018

17. KEEPITSIMPLE Storytelling – What we must not do 17 Source : WTF Visualizations http://viz.wtf/

18. KEEPITSIMPLE Road map to choosing a chart Analytics Meetup Geneva 16 May 2018 18

19. KEEPITSIMPLE Chart Suggestions—A Thought-Starter 19Analytics Meetup Geneva 16 May 2018

20. KEEPITSIMPLE Representing Comparison Analytics Meetup Geneva 16 May 2018 20

21. KEEPITSIMPLE Representing Distribution Analytics Meetup Geneva 16 May 2018 21

22. KEEPITSIMPLE Representing Relationship Analytics Meetup Geneva 16 May 2018 22

23. KEEPITSIMPLE Representing Composition Analytics Meetup Geneva 16 May 2018 23

24. KEEPITSIMPLE Using a Treemap Analytics Meetup Geneva 16 May 2018 24 When use it ? • To display up to 2 quantitative variables arranged in a hierarchy Advantages • Well suited to find patterns, clusters, gaps or outliers in large data sets • Particularly useful when data can be grouped into hierarchies • Able to point out important values in a matter of seconds Limitations • Large data sets with equally sized nodes • Time series, negative values

25. KEEPITSIMPLE Using a Box Plot Analytics Meetup Geneva 16 May 2018 25 When use it ? • Show the distribution of a dataset Advantages • Able to handle large datasets easily • Provide indications about the datasets distribution and symmetry Limitations • Limited usage and comprehension outside of experts community • Exact value of the data is lost

26. KEEPITSIMPLE Using a Map Analytics Meetup Geneva 16 May 2018 26 When use it ? • Spatial representation and business information together Advantages • Maps bring data to life • Make it easier for business users to identify the significant trends and issues contained in most reports and dashboards Limitations • Unable to show time series, unless animated

27. KEEPITSIMPLE In Review Storytelling • Is needed to provide contextualisation and insights to stakeholders • Has to fit the data Choosing the right chart • Can be automated by following a number of rules Both • Enhance the value of the data • Ensure the stakeholders can obtain the same insights as the analyst 27Analytics Meetup Geneva 16 May 2018

28. KEEPITSIMPLE Where To Learn More Books: • Storytelling with Data: A Data Visualization Guide for Business Professionals (Cole Nussbaumer Knaflic) • Cool Infographics: Effective Communication with Data Visualization and Design (Randy Krum) • Visual Insights: A Practical Guide to Making Sense of Data (David E. Polley) Websites: https://www.edx.org/learn/data-visualization (Data Visualization Courses) https://datavizcatalogue.com/search.html https://www.oracle.com/solutions/business-analytics/data-visualization/library.html https://it.toolbox.com/blogs/maryannrichardson/why-data-storytelling-083116 http://extremepresentation.typepad.com 28Analytics Meetup Geneva 16 May 2018

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