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![3. What is information design?
Information design is the practice of presenting information in a way that fosters efficient
and effective understanding of it. The term has come to be used specifically for graphic
design for displaying information effectively, rather than just attractively or for artistic
expression. Information design is closely related to the field of data visualization and is
often taught as part of graphic design courses.[1] Tufte's writing is important in such fields
as information design and visual literacy, which deal with the visual communication of
information. He coined the word chartjunk to refer to useless, non-informative, or
information-obscuring elements of quantitative information displays. Tufte's other key
concepts include what he calls the lie factor, the data-ink ratio, and the data density of a
graphic.[10]
He uses the term "data-ink ratio" to argue against using excessive decoration in visual
displays of quantitative information.[11] In Visual Display, Tufte explains, "Sometimes
decoration can help editorialize about the substance of the graphic. But it is wrong to
distort the data measures—the ink locating values of numbers—in order to make an
editorial comment or fit a decorative scheme."[12] Tufte encourages the use of data-
rich illustrations that present all available data. When such illustrations are examined
closely, every data point has a value, but when they are looked at more generally, only
trends and patterns can be observed. Tufte suggests these macro/micro readings be
presented in the space of an eye-span, in the high resolution format of the printed page,
and at the unhurried pace of the viewer's leisure. Source: Wiki
https://www.youtube.com/watch?v=AdSZJzb-aX8](https://image.slidesharecdn.com/theareofchartv07-181221230447/85/Data-Visualization-Tips-4-320.jpg)
Uploaded byJose Berengueres
Data Visualization Tips
The document provides tips and best practices for using data visualization to tell stories and convey information effectively. It discusses key concepts like using legends and captions properly, visualizing proportions, styling axes, expressing goals and targets, and dramatizing charts to emphasize specific points. The tips are illustrated with examples of charts and diagrams. It concludes by discussing how charts can be used strategically for business goals like mergers and acquisitions planning.
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Data Visualization Tips
- 1.
- 2. 1. Why thisbook? # of figures #tips 10 20 10 20 5 40 62 55 STORYTELLING WITH DATA TUFTE BIG BOOK OF DASHBOARDS EFFECTIVE DATAVIZ WHERE WE WANT TO BE
- 3. 2. How to“Storytelling” with Data? NEW DATA ST RYO A OLD DATA RECALL A principle of good storytelling is to connect new the data to existing knowledge to which the audience is familiar with, so they know when to apply the new knowledge given to them. In other words good story telling gives you knwoledge, and it tells you which drawer in your mental framework it should be stored.
- 4. 3. What isinformation design? Information design is the practice of presenting information in a way that fosters efficient and effective understanding of it. The term has come to be used specifically for graphic design for displaying information effectively, rather than just attractively or for artistic expression. Information design is closely related to the field of data visualization and is often taught as part of graphic design courses.[1] Tufte's writing is important in such fields as information design and visual literacy, which deal with the visual communication of information. He coined the word chartjunk to refer to useless, non-informative, or information-obscuring elements of quantitative information displays. Tufte's other key concepts include what he calls the lie factor, the data-ink ratio, and the data density of a graphic.[10] He uses the term "data-ink ratio" to argue against using excessive decoration in visual displays of quantitative information.[11] In Visual Display, Tufte explains, "Sometimes decoration can help editorialize about the substance of the graphic. But it is wrong to distort the data measures—the ink locating values of numbers—in order to make an editorial comment or fit a decorative scheme."[12] Tufte encourages the use of data- rich illustrations that present all available data. When such illustrations are examined closely, every data point has a value, but when they are looked at more generally, only trends and patterns can be observed. Tufte suggests these macro/micro readings be presented in the space of an eye-span, in the high resolution format of the printed page, and at the unhurried pace of the viewer's leisure. Source: Wiki https://www.youtube.com/watch?v=AdSZJzb-aX8
- 5. Woman Man Woman 23 man 67 respondents 4.Why use charts?
- 6. Woman Man Woman 23 man 67 respondents becauselife is short! 4. Why use charts?
- 7. Woman Man LEGEND 5. What isa Legend?
- 8. Woman Man Man Woman 1 2 3 6. Howto use legends? Woman Man
- 9. Woman Man 7. How touse legends? ✓ ❌ Woman Man
- 10. Woman Man 8. How touse personas?
- 11. Woman Man 8. How touse personas?
- 12. 9. How tocaption? Woman Caption A: Respondents of the survey Caption B: 1 in 5 respondents is a Woman
- 13. 10. How tocaption? THE GIST DON’T MAKE ME GUESS HAS A VERB Woman Caption A: Respondents of the survey Caption B: 1 in 5 respondents is a Woman☑︎ ☒
- 14. 12. How tovisualize proportions 0% 20% 40% 60% 80% Woman Woman
- 15. 12. How tovisualize proportions 0% 20% 40% 60% 80% Woman Woman ☒ ☑︎
- 16.
- 17. 0% 20% 40% 60% 80% 0% 80% 13. How styleaxes ? ☒ ☑︎
- 18. 14. Where toplace the caption? 1 in 5 respondents is a Woman0% 20% 40% 60% 80% 1 in 5 respondents is a Woman Woman 0% 20% 40% 60% 80% Woman
- 19. 14. Where toplace the caption? 1 in 5 respondents is a Woman0% 20% 40% 60% 80% 1 in 5 respondents is a Woman Woman 0% 20% 40% 60% 80% Woman ☒ ☑︎
- 20. 15. How toexpress hard to achieve goals 0% 80% 50% GOAL: Gender Equality To make a goal appear hard to reach, use gravity and vertical space man woman
- 21. 16. How tomake a goal reachable 0% 80% SAME GOAL To make a goal appear easier to reach, use horizontal space
- 22. 17. How toset a soft goal to make a soft goal, add shades to mark a soft landing area 0% 80% Equality
- 23. 0% 80% 0% 80% 18.How to use the golden ratio 1:1 1:1.6
- 24. 0% 80% 19. Howto chart like Garth Reynolds Woman 20% man
- 25. 1 in 5respondents is a woman 20. How to chart like a superhero
- 26. 1 in 5respondents is a woman 21. How to use accent colors
- 27. 22. How todramatize 1 in 5 respondents is a woman
- 28. 23 How tochart for perspective?
- 29. 24 How tosummarize 197 Countries? Country growth 2017-2018 2017 US 90 817 India 600 503 China 300 265 Germany 150 340
- 30. 0% contribution of newdata scientists in 2018 100% BRICS growing faster than US, Europe EU6 REST BRICS 42% 26% 20% 11%US
- 31. 25 How toemphasize profit evolution Income costs 2017 2018 2019 ? costs Income Airbnb income Barcelona
- 32. Income costs 2017 2018 2019 costs Income Airbnbincome Barcelona
- 33. Income 2017 2018 2019 costs Airbnbincome Barcelona
- 34. Income 2017 2018 2019 Costs (projection) Airbnbincome of a property 2017 highlights ______________ _____________ ______________ ____________ 2018 highlights Flooding repairs increased costs
- 35. 27 Charts usedfor takeovers % of processed meat in product mix (frozen packs…) Profit margin 7% 11% 0% 50% Competition Source: The Accidental Banker
- 36. 27 Charts usedfor takeovers % of processed meat in product mix (frozen packs…) Profit margin 7% 11% grey 70% because it is too large a-dot 0% 50% Competition Source: The Accidental Banker
- 37. 27 Charts usedfor takeovers % of processed meat in product mix (frozen packs…) Profit margin 7% 11% grey 70% because it is too large a-dot 0% 50% meat packer 1 our client Competition Source: The Accidental Banker
- 38. % of processedmeat in product mix (frozen packs…) Profit margin 7% 11% meat packer 1 client Competition Once the right chart is shown, strategy should be obvious 0% 50%
- 39. % of processedmeat in product mix (frozen packs…) Profit margin 7% 11% meat packer 1 client Competition Once the right chart is shown, strategy should be obvious 0% 50% where we are
- 40. % of processedmeat in product mix (frozen packs…) Profit margin 7% 11% meat packer 1 client Competition Once the right chart is shown, strategy should be obvious 0% 50% where we want to be
- 41. % of processedmeat in product mix (frozen packs…) Profit margin 7% 11% meat packer 1 client Competition Once the right chart is shown, strategy should be obvious 0% 50% M&A target
- 42. % of processedmeat in product mix (frozen packs…) Profit margin 7% 11% meat packer 1 client Competition Once the right chart is shown, strategy should be obvious 0% 50% M&A target
- 43. About the author JoseBerengueres received a Masters in Electrical Engineering in Barcelona and a PhD in bio-inspired robots from Tokyo Institute of Technology. He has taught Design Thinking and Business Models Innovation in Dubai, California, Germany and Mexico. He is currently an assistant professor at UAE University where he developed The Brown Book of Design Thinking.