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J Berengueres
Data Visualization for Policy Decision Making
J Berengueres
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ConvinceThink
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Think
?
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Data Convince
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Data Convince
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SOME (BAD) EXAMPLES
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WHY
UGLY
VIZ?
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WHY
UGLY
VIZ?
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WHY
UGLY
VIZ?
Do you like Ice cream?
Yes
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WHY
UGLY
VIZ?
Do you like Ice cream?
Yes
Also Yes, but
in yellow
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WHY POOR VIZ !?
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DATA
VIZ
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DATA
VIZ
DATA
SCIENCE.
SCIECE.
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DATA
VIZ
DATA
SCIENCE.
SCIECE.
DESIGN
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DATA
VIZ
DATA
SCIENCE.
SCIECE.
DESIGN
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DATA
VIZ
DATA
SCIENCE.
SCIECE.
DESIGN
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DATA
VIZ
DATA
SCIENCE.
SCIECE.
DESIGN
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SIX
RULES
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1
Tell me a story
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“PRESENTATIONS
WITH CHARTS ARE
REMEMBERED 33%
MORE”*
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“PRESENTATIONS
WITH CHARTS ARE
REMEMBERED 33%
MORE”*
CHART
YES
NO
RECALL
J Berengueres
“PRESENTATIONS
WITH CHARTS ARE
REMEMBERED 33%
MORE”
CHART
YES
NO
RECALL
J Berengueres
“PRESENTATIONS
WITH CHARTS ARE
REMEMBERED 33%
MORE”
CHART
YES
NO
RECALL
1x 1.3x 10x
J Berengueres
“PRESENTATIONS
WITH CHARTS ARE
REMEMBERED 33%
MORE”
CHART
YES
NO
RECALL
1x
words only
1.3x
w/ charts
10x
w/ story*
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2
Data isn’t information
J Berengueres
Exercise - Order this
data
knowledge
information wisdom
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data > information > knowledge > wisdom
Solution
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data > information > knowledge > wisdom
_____ ________
_____ ________
List Discriminant Attributes
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data > information > knowledge > wisdom
Many Valuable
Abundant Scarce
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data > information > knowledge > wisdom
Many Valuable
Abundant Scarce

Arrow
of
Value
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3
Create Knowledge
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4
Make it memorable
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5
Use narratives
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NARRATIVE
↑
STORY
↑
DATA
purpose
credibility
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NARRATIVE
STORY
DATA
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J Berengueres
6
Choose a compatible chart
J Berengueres
Exercise - Visualize this
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Man
Woman
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Man
Woman
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Man
Woman
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(Failed) Examples
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scarcity
win-losse
abundance
win-win
Narrative – chart fit
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C
CO2
LIFT
GORE
An Inconvenient Truth, Gore, A. (n.d.)
Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore.
Retrieved February 9, 2020, from
https://www.algore.com/library/an-inconvenient-truth-
dvd
J Berengueres
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x1 x10 x104
same data, dufferent Impact
data information story
J Berengueres
1 Tell me a story
2 Data isn’t information
3 Create knowledge
4 Make it memorable
5 Use narratives
6 Choose a compatible chrt.
J Berengueres
THANK YOU
IMPULSE:
Data Visualization for Policy
Decision Making
JOSE BERENGUERES
References
Berengueres, J. (2019). Introduction to Data Visualization & Storytelling:
A Guide For The Data Scientist. 978-1085827836
Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved
February 9, 2020, from https://www.algore.com/library/an-
inconvenient-truth-dvd

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Data Visualization for Policy Decision Making (impulse talk)

Notes de l'éditeur

  1. How many of you have heard about “death by pptx”? (rise your hands if you heard it beafore)
  2. and excel? (
  3. Tableau?
  4. Today, we are going to talk about data visualization and how to use it to t and c
  5. But first we need to talk about... can you guess the missing word? DATA!
  6. To convince you need data the thing is that data looks like this and makes people feel like this (the name of this emoji is flat smile) However,
  7. to convince, we need to make ppl feel like this that is where visualziation can help One way is visualiztion, a fancy word for charts and infographics The 2nd problem is that there is a lot of bad charts out there!
  8. Here is a small sample from the internet
  9. 100 most active twtiters (wrong chart for the job)
  10. number of data sceintists per country (information overload)
  11. and my favourite, charts with no information (click) information
  12. I am a professor and I work at UAE University so as an academic I went on a quest!!! to find the resons It took me 2 minutes of find a culprit
  13. 2:00 He is a a school drop out never took a design lecture yet he created excel and 90% charts you will see in your time on this planet will be made by EXcel But the epidemic of bad charts we endure is not all his fault... there is a second reason and the culprit is us, the school system where arts are spearated from sceinces.
  14. a school drop out never took a design lecture yet 90% charts you will see in your time on this planet will be made by his software
  15. But he is not the only one at faulthere, we the educational system have blame too.
  16. you see to do dv we need ds but we also need...
  17. design, the problem is that people that make the charts , the data sceitists look liek this
  18. and designers like this
  19. and the go to differnt shcools
  20. the specializations that teach ds dont like design and design studies dont like ds a part from very few exceptions.
  21. when you make a chart tell me a story , why?
  22. because ppl will rememebr more. example * princeton study
  23. #2 know the difference between data information and knowledge
  24. #2 know the difference between data information and knowledge
  25. #2 know the difference between data information and knowledge
  26. #2 know the difference between data information and knowledge
  27. #2 know the difference between data information and knowledge
  28. #2 know the difference between data information and knowledge
  29. The secret to create knowlege is to get information (new or old) and to RELATE IT to
  30. #2 know the difference between data information and knowledge To be a leader is not what you wasy, its is also when you say it.
  31. #2 know the difference between data information and knowledge To be a leader is not what you wasy, its is also when you say it.
  32. be cool be fun “POP” culture
  33. If u make a chart and none remebered it – did it happen? one way to make your chart stick is be cool be fun “POP” culture
  34. If u make a chart and none remebered it – did it happen? one way to make your chart stick is be cool be fun “POP” culture
  35. Know the realtion between narratives sotries and data Why do so many charts feel purposeless? If your chart has nothing to say then it will feel purposeless
  36. It works with grown ups too
  37. #2 know the difference between data information and knowledge
  38. fake data but efficient
  39. before we said that if your chart does not advocate any narrative, it will feel purposless Howver, there is this thing called the fit, if your chart does not fit the narrative, it will feel dysonant. example: i
  40. is this data information or k ?
  41. is this data information or k ?
  42. is this data information or k ?
  43. is this data information or k ?
  44. is this data information or k ?
  45. is this data information or k ?
  46. is this data information or k ?
  47. is this data information or k ?
  48. before we said that if your chart does not advocate any narrative, it will feel purposless Howver, there is this thing called the fit, if your chart does not fit the narrative, it will feel dysonant. example: i
  49. we just need one pixel –remeber on pixel. one pixel
  50. #2 know the difference between data information and knowledge An Inconvenient Truth, Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved February 9, 2020, from https://www.algore.com/library/an-inconvenient-truth-dvd
  51. #2 know the difference between data information and knowledge An Inconvenient Truth, Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved February 9, 2020, from https://www.algore.com/library/an-inconvenient-truth-dvd
  52. #2 know the difference between data information and knowledge An Inconvenient Truth, Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved February 9, 2020, from https://www.algore.com/library/an-inconvenient-truth-dvd to visualiza theis ”off the charts” do you get off, literally. youtube views? 62,000
  53. #2 know the difference between data information and knowledge An Inconvenient Truth, Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved February 9, 2020, from https://www.algore.com/library/an-inconvenient-truth-dvd
  54. #2 know the difference between data information and knowledge An Inconvenient Truth, Gore, A. (n.d.). An Inconvenient Truth (Movie) — Al Gore. Retrieved February 9, 2020, from https://www.algore.com/library/an-inconvenient-truth-dvd
  55. thunberg – I have credibility becuase I show integrity, by sailing –not flying; where as you say co2 is bad yet you do nothing to reduce it when you could.
  56. before we said that if your chart does not advocate any narrative, it will feel purposless Howver, there is this thing called the fit, if your chart does not fit the narrative, it will feel dysonant. example: i
  57. is this data information or k ?