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Beyond Bullets: Creating Presentations That Engage
- 1. Beyond Bullets Creating presentationsthat engage
- 2. Beyond Bullets Creating PresentationsThat Engage
- 3. Goals today • Learnstrategies related to data presentation • Learn about resources for images • Learn about ideas to consider while creating presentations • Learn basic tips for good presentation design
- 4. Speaking of design •Presentation design and interior design • Rules • Personal expression
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- 9. Tip 1: usebullets as talking points • Slides aren’t documents aka “slideuments” • Slides shouldn’t be your teleprompter Duarte, p. 7
- 10. The audience willeither read your slides or listen to you. They will not do both. So, ask yourself this: is it more important that they listen, or more effective if they read? Duarte, p. 7
- 11. To keep bulletsbrief • No sentences • Two lines per bullet (?) • Four bullets per slide (?) • It’s OK to go on to the next slide! • Think headlines Duarte, p. 150; Kosslyn p.
- 12. Learning to Ride •Put training wheels on the bike • Raise the training wheels so you wobble • Wear clothing and helmet to protect yourself • Remove the training wheels and practice falling on the grass • Enjoy riding your bike wherever you need to go Duarte, p. 222
- 13. Learning to Ride •Put training wheels on the bike • Raise the training wheels so you wobble • Wear clothing and helmet to protect yourself • Remove the training wheels and practice falling on the grass • Enjoy riding your bike wherever you need to go Duarte, p. 222
- 14. Learning to Ride trainingwheels wobble helmet grass go! Duarte, p. 222
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- 16. Rudolph in action •A PowerPoint feature • That’s actually helpful! • Focuses attention • On what and when Kosslyn (Martians) Use PowerPoint’s Animation feature, and Effect Options. Choose After Animation to Hide or Dim
- 17. Another Rudolph Introduction toData Visualization: Chart Dos and Don'ts
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- 19. Think critically aboutimages • Do they convey: • concrete ideas • relevant moods • metaphors • What messages do they convey? • cultural
- 20. Designing with images •One large, striking image • Patterned backgrounds- consider the font • Contrast & transparency scales • Please: no cheez
- 21. Imagery • Include: • Relevant •Striking • Mood-setting • Avoid: • Poor quality • Confusing
- 22. Imagery: partnership • RealismOR metaphor • Avoid cheesy images Duarte, p. 160
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- 26. Imagery: fonts asimages Fonts create different moods, and also evoke different feelings. Do you see what I mean? How does this font make you feel? How about this one?
- 27. Color • Consider choosinga color palette • Unifies • Conveys mood Duarte, p. 7
- 28. Other considerations for imagery& color • Subject matter • Purpose • Audience
- 29. Important consideration: audience • Whoare they? • Why are they attending? • What do they need?
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- 31. Data slides… • Aren’treally about the data • They are about the meaning of the data Duarte, p. 64
- 32. Tip 1: avoidchart junk
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- 35. Tip 2: choosethe right chart and design
- 36. 42% 20% 14% 24% Library Visits bySeason Winter Spring Summer Fall
- 37. Pie Chart: Concerns •Don’t use special effects • Shadowing • 3-D • Color choices are not pleasing (non-complimentary) • Don’t use to display more than 2 – 3 data points • We can’t discern relative areas well http://www.sensoryspectrum.com/dkcms/ckfinder/userfiles/files/Presentations/Sensory%20Data%20Visualization%20poster%20Sensory%20Spectrum.pdf 42% 20% 14% 24% Library Visits by Season Winter Spring Summer Fall
- 38. [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] Winter Spring SummerFall Library Visits by Season
- 39. Bar Chartis Better! •We’re still comparing parts to the whole • We see differences in length more accurately than differences in area • Simple color scheme doesn’t detract • Percentage labels on the bars
- 40. Tip 3: Spacebars effectively DATA VISUALIZATION 101: HOW TO DESIGN CHARTS AND GRAPHS
- 41. [CELLRANGE] [CELLRANGE] [CELLRANGE] [CELLRANGE] Winter Spring SummerFall Library Visits by Season
- 42. Tip 4: Usecolor effectively DATA VISUALIZATION 101: HOW TO DESIGN CHARTS AND GRAPHS
- 43. DATA VISUALIZATION 101:HOW TO DESIGN CHARTS AND GRAPHS
- 44. Hues vs. spectrum AnthonyRobinson shows how spectral colors make it much harder to tell the difference in volume of tweets (which is quantitative data) during the 2012 presidential elections:
- 45. 42% visits occur duringwinter
- 46. Other considerations • Onlinevs. in person • Animation • Examples
- 47. In conclusion… •Know youraudience and its needs •Maintain consistency; use inconsistency for emphasis •Edit, edit, edit
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- 49. Resources • Data Visualization101: how to design charts and graphs https://visage.co/content/data-visualization-101/ • Duarte, Nancy. Slide:ology : the art and science of creating great presentations. Sebastopol, CA: O'Reilly Media, 2008. http://search.lib.virginia.edu/catalog/u4824098 • Kosslyn SM, Kievit RA, Russell AG, Shephard JM. PowerPoint(®) Presentation Flaws and Failures: A Psychological Analysis. Front Psychol. 2012 Jul 17;3:230. doi: 10.3389/fpsyg.2012.00230. eCollection 2012. http://www.ncbi.nlm.nih.gov/pubmed/22822402 • Kosslyn, SM. PowerPoint for Martians? http://blog.oup.com/2007/08/powerpoint/ • Rowh, Mark. Power up your PowerPoint: seven research-backed tips for effective presentations. www.apa.org/gradpsych/2012/01/presentationas.aspx
- 50. Additional Readings • DukeUniversity Libraries Introduction to Data Visualization: Chart Dos and Don'ts