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E-raamat: Presenting Data Effectively: Communicating Your Findings for Maximum Impact

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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 29-Apr-2017
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506353135
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Presenting Data Effectively: Communicating Your Findings for Maximum ImpactSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 29-Apr-2017
  • Kirjastus: SAGE Publications Inc
  • Keel: eng
  • ISBN-13: 9781506353135
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Now in striking full color, Presenting Data Effectively, Second Edition by Stephanie D. H. Evergreen shows readers how to make the research results presented in reports, slideshows, dashboards, posters, and data visualizations more interesting, engaging, and impactful. The book guides students, researchers, evaluators, and non-profit workers—anyone reporting data to an outside audience—through design choices in four primary areas: graphics, text, color, and arrangement. The Second Edition features an improved layout with larger screenshots, a review of the recent literature on data visualization, and input from a panel of graphic design experts.

Arvustused

The book is aimed at all those involved in the presentation of information. For graphic designers, however, this book probably offers little new. "Presenting Data Effectively" is easy to read, as it is very well structured and prepared. The second edition is richly illustrated with 201 colour illustrations. It is practice-oriented and offers scientifically proven arguments for the recommendations. Numerous learning suggestions, tools, tips and further references to further sources for more information round off the book. -- Anja Kaup

About the Author xiii
Acknowledgments xv
Preface to the Second Edition xvii
1 The Justification for Presenting Data Effectively 1(31)
Learning Objectives
1(1)
What Does Effective Data Presentation Look Like?
2(16)
Reports
2(2)
Slideshows
4(3)
Handouts
7(5)
Posters
12(2)
Data Displays
14(1)
Dashboards (and Dashboard Reports)
15(3)
What Makes Data Presentation Effective?
18(5)
Pictorial Superiority Effect
19(1)
Early Attention
20(1)
Working Memory
21(1)
Long-Term Memory
22(1)
What Do I Need to Develop Effective Data Presentation?
23(3)
A Disciplinary Positioning
24(1)
Necessary Software
25(1)
How Do I Navigate This Book?
26(1)
What Is the Bottom Line?
27(1)
Key Points to Remember
28(1)
How Can I Extend This?
29(1)
Check Out
29(1)
Try This
30(1)
Where Can I Go for More Information?
30(2)
2 Graphics 32(44)
Learning Objectives
32(1)
Guiding Ideas
33(1)
How Do I Use Images in Effective Ways?
34(26)
Images Are Present
35(1)
Images Are Emotional
36(4)
Images Have Impactful Placement
40(8)
Large and Bleeding
40(4)
Matching Background
44(3)
Facing Text
47(1)
Images Quickly Communicate
48(10)
Photographs
48(2)
Reference Icons
50(6)
Judgmental Icons
56(2)
Images Are Repeated
58(2)
How Do I Efficiently Locate High-Quality Images?
60(6)
Invest in Visual Thinking Before Browsing Sites
60(1)
Shop Stock Photo Sites
61(2)
Hire a Graphic Designer
63(3)
Where Should Graphs Go?
66(1)
How Do I Apply These Ideas to Graphs?
67(5)
Graph Highlights Significant Finding or Conclusion
67(1)
The Type of Graph Is Appropriate for Data
68(1)
Gridlines, If Present, Are Muted
69(1)
Graph Does Not Have a Border Line 6g
Axes Do Not Have Unnecessary Tick Marks or Axis Lines
70(1)
Graph Has One Horizontal and One Vertical Axis
71(1)
What Is the Bottom Line?
72(1)
Key Points to Remember
72(1)
How Can I Extend This?
73(1)
Check Out
73(1)
Try This
73(1)
Where Can I Go for More Information?
74(2)
3 Text 76(44)
Learning Objectives
76(1)
Guiding Ideas
77(2)
What Is Type?
79(1)
How Do I Tell These Typefaces Apart?
80(4)
Serif
80(1)
Sans Serif
81(1)
Slab Serif
82(2)
What Works for Paper and What Works for Screen?
84(2)
Did You Just Say I Can't Use Calibri?
86(3)
When the Receiving Computer Is a PC
86(2)
When the Receiving Computer Is a Mac
88(1)
How Can I Protect Font Choices?
89(3)
How Do Fonts Actually Communicate?
92(4)
What Font Size Should I Use?
96(5)
How Should Lines Be Spaced?
101(2)
How Does Typeface Help Organize Data Presentation?
103(6)
Headings
103(1)
Callouts
103(2)
Sidebars
105(1)
Quotes
106(1)
Bullets
107(2)
How Do I Apply These Ideas to Graphs?
109(7)
6- to 12-Word Descriptive Title Is Left Justified in Upper Left Corner
109(3)
Subtitles and/or Annotations Provide Additional Information
112(1)
Data Are Labeled Directly
112(2)
Labels Are Used Sparingly
114(2)
What Is the Bottom Line?
116(1)
Key Points to Remember
116(1)
How Can I Extend This?
117(1)
Check Out
117(1)
Try This
118(1)
Where Can I Go for More Information?
118(2)
4 Color 120(34)
Learning Objectives
120(1)
Guiding Ideas
121(1)
Why Is Color Important to Memory?
122(1)
What Colors Should I Choose?
123(8)
The Best Color Combinations for Reading
123(3)
The Best Colors for Emphasis
126(5)
Using a Color-Picking Tool
126(3)
Other Color Combination Sites
129(2)
What Should I Watch Out For?
131(6)
Too Much Color
131(2)
Color-Blind Readers
133(2)
Reprinting in Black and White
135(1)
Using Red/Yellow/Green
136(1)
How Do I Apply Emphasis Colors?
137(5)
Decorating
137(2)
Navigating
139(1)
Spotlighting
140(2)
How Do I Apply These Ideas to Graphs?
142(7)
Text Sufficiently Contrasts With Background
143(1)
Color Scheme Is Intentional
143(4)
Color Is Used to Highlight Key Patterns
147(2)
What Is the Bottom Line?
149(1)
Key Points to Remember
149(1)
How Can I Extend This?
150(1)
Check Out
150(1)
Try This
151(1)
Where Can I Go for More Information?
151(3)
5 Arrangement 154(42)
Learning Objectives
154(1)
Guiding Ideas
155(1)
Where Do the Bits and Pieces Go?
156(6)
Two Models for Layout
156(6)
Gutenberg Diagram Arrangement Model
158(1)
Rule of Thirds Arrangement Model
159(3)
What Is White Space and How Do I Use It?
162(7)
Line Length
162(3)
Sidebars
165(2)
The Wrong Kind of White Space
167(2)
How Should I Justify Text?
169(2)
How Can I Align Using Typical Software?
171(8)
Achieving Consistent Placement
171(14)
Use the Size and Position Function
172(2)
Use Groups
174(5)
When Is It Okay to Break the Rules?
179(3)
How Do I Arrange the Sections of the Whole Report?
182(3)
How Do I Apply These Ideas to Graphs?
185(7)
Proportions Are Accurate
185(1)
Data Are Intentionally Ordered
186(2)
Axis Intervals Are Equidistant
188(1)
Graph Is Two-Dimensional
189(1)
Display Is Free of Decoration
190(2)
What Is the Bottom Line?
192(1)
Key Points to Remember
192(1)
How Can I Extend This?
193(2)
Check Out
193(1)
Try This
193(2)
Where Can I Go for More Information?
195(1)
6 Making It Easy 196(15)
Learning Objectives
196(1)
Criticism: Trying to Look Slick
197(1)
Benefit 1: Fits With How the Brain Operates
197(1)
Benefit 2: Adds to Credibility and Communicates Competence
198(1)
Criticism: Design Is Expensive
198(9)
Benefit 3: There Are Multiple Ways to Save Time
198(10)
Slidedocs
199(3)
Style Sheets
202(4)
Save Themes
206(1)
Key Points to Remember
207(1)
How Can I Extend This?
208(1)
Check Out
208(1)
Try This
208(1)
Where Can I Go for More Information?
209(2)
Appendix A Report Layout Checklist 211(4)
Appendix B Data Visualization Checklist 215(6)
Index 221
Dr. Stephanie D. H. Evergreen is a sought-after speaker, designer, and researcher. She is best known for bringing a research-based approach to helping others better communicate their work through more effective graphs, slides, and reports. She holds a PhD from Western Michigan University in interdisciplinary research, which included a dissertation on the extent of graphic design use in written data reporting. Dr. Evergreen has trained audiences worldwide through keynote presentations and workshops for clients, such as Verizon, Head Start, American Institutes for Research, Brookings Institute, the Ad Council, Boys and Girls Club of America, and the United Nations. She led the first known attempt to revamp the quality of presentations for an entire association: the Potent Presentations Initiative for the American Evaluation Association (AEA). She is the 2015 recipient of the AEAs Marcia Guttentag Promising New Evaluator Award, which recognizes early notable and substantial accomplishments in the field. Dr. Evergreen is coeditor and coauthor of two issues of New Directions for Evaluation on data visualization. She writes a popular blog on data presentation at StephanieEvergreen.com. Her book, Presenting Data Effectively: Communicating Your Findings for Maximum Impact, was published by Sage in Fall 2013 and was listed as number one in Social Science Research on Amazon in the United States and United Kingdom for several weeks.
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