Effective data visualization : the right chart for the right data / Stephanie D.H. Evergreen
Book | SAGE Publications, Inc. | 2020 | Second edition.
Available at Gateway-Racine Campus New Books Display (P 93.5 E9.37 2020)

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Edition
Second edition.
Description
xix, 328 pages ; 24 cm
Bibliography
Includes bibliographical references and index.
Contents
Chapter 1. Our Backbone: Why We Visualize
Why We Visualize
When Visualization Is Harmful
Which Chart Type Is Best?
Tell a Story With Data
How to Use This Book
Exercises
Resources
References
Chapter 2. When a Single Number Is Important: Showing Mean, Frequency, and Measures of Variability
What Stories Can Be Told With a Single Number?
How Can I Visualize a Single Number?
Single Large Number -- Icon Array -- Waffle Chart, Pictogram -- Donut or Pie Graph
Why Circles Can Be Challenging
Bar Graph
How Can I Show Measures of Variability?
Translating Scientific Jargon for a Lay Audience
Exercises
Resources
References
Chapter 3. How Two or More Numbers Are Alike or Different: Visualizing Comparisons
What Stories Can Be Told About How Two or More Numbers Are Alike or Different?
How Can I Visualize How Two or More Numbers Are Alike or Different?
Side-by-Side Column -- Slopegraph -- Back-to-Back Bars -- Solution 1: Two Separate Bar Graphs
Exporting the Graph out of Excel
Solution 2: Secret Buffer Data -- Dot Plot -- Dumbbell Dot Plot -- Small Multiples
Exercises
Resources
References
Chapter 4. How We Are Better or Worse Than a Benchmark: Displaying Relative Performance
What Stories Can Be Told About How We Are Better or Worse Than a Benchmark?
How Can I Visualize How We Are Better or Worse Than a Benchmark?
Benchmark Line -- Combo Chart
Can I Add a Second Line?
Overlapping Bars -- An Overlapping Variation: Data Bars
Bullet Graph -- The Easier Way: Veritcal Bullets -- The Harder Way: Horizontal Bullets
Indicator Dots -- Benchmarks Inside Sparklines
Exercises
Resources
References
Chapter 5. What the Survey Says: Showing Likert, Ranking, Check-All-That-Apply, and More
What Stories Can Be Told About What the Survey Says?
How Can I Visualize What the Survey Says?
Rating -- Stacked Bar -- Small Multiples -- Diverging Stacked Bar
What About Neutral? -- Aggregated Stacked Bar
Changing the Wording of the Survey
Ranking
Column Graph -- The Lollipop Variation -- Large Number With Icon -- Bump Chart
Branching
Annotated Graph -- Nested Area Graph
Visualizing Not Applicable or Missing Data
Note Small Consistent Missing Data -- Add Sample Size for Large Consistent Missing Data -- Add a Graph on the Side for Large Inconsistent Missing Data
Exercises
Resources
References
Chapter 6. When There Are Parts of a Whole: Visualizing Beyond the Pie Chart
What Stories Can Be Told When There Are Parts of a Whole?
How Can I Visualize the Parts of a Whole?
Don't Visualize at All -- Pie Charts Done Right -- 100% Stacked Bar -- Histogram -- Treemap -- Map
Choropleth Map -- Editable Map in PowerPoint -- Tile and Hex Choropleth Map
Exercises
Resources
References
Chapter 7. How This Thing Changes When That Thing Does: Communicating Correlation and Regression
What Stories Can Be Told About How This Thing Changes When That Thing Does?
How Can I Visualize How This Thing Changes When That Thing Does?
Scatterplot -- Connected Scatterplot -- Diagram -- Don't Visualize It at All
Exercises
Resources
References
Chapter 8. When the Words Have the Meaning: Visualizing Qualitative Data / Jennifer Lyons
What Stories Can Be Told When the Words Have the Meaning?
How Can I Visualize When the Words Have the Meaning?
Pure Qualitative: Highlight a Word
Bolded Words -- Quote and pic -- Callout box
Pictures are Worth $1,000
Pure Qualitative: Thematic Analysis
Change Photos -- Network Map -- Diagram -- Timeline -- Journey Map
Some Quantification: Highlight a Word
Word Clouds
Some Quantification: Thematic Analysis
Icons and Color Coding -- Spectrum Display -- Heat Map -- Harvey Balls -- Histomap -- Bubble Chart -- Gauge Diagram -- Venn Diagram
Exercises
Resources
References
Chapter 9. How Things Changed Over Time: Depicting Trends
What Stories Can Be Told About How Things Changed Over Time?
How Can I Visualize How Things Changed Over Time?
Your Old Friends, the Line Graph -- Area Graph
Does the Y-Axis Have to Start at Zero?
Stacked Column
How Can I Show That Down Is Good?
Waterfall Chart -- Deviation Bar -- Vertical Dumbbell Dot Plot -- Slopegraph (as a Macro) -- Sankey
Exercises
Resources
References
Chapter 10. Reporting Out: Sharing Your Data With the World
Static Visuals
Screenshot Software
Social Media Sizes
Linked Files
Interactive Dashboards
Flat Versus Summary Table -- Pivot Tables -- View the Relevant Data -- Publish the Dashboard
Exercises
Resources
References
Chapter 11. It's About More Than the Buttons
Dot Plots Generate Healthcare Pioneers
Clearly Labeled Line Graphs Streamline Decisions at a Fortune 500
Diverging Stacked Bars Make for Community Leaders in the Midwest
Icons Support Informed Policymaking
Building a Culture of Effective Data Visualization
Acknowledge Fears -- Communicate Importance -- Make It Easy -- Celebrate
Exercises
Resources
References
Summary
Stephanie D. H. Evergreen's 'Effective Data Visualization' shows readers how to create the Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints - supported by both research and the author's extensive experience with clients in industries all over the world - for conveying data in an impactful way. Delivered in her humorous and approachable style, the book covers the spectrum of graph types available, how to determine which one fits specific data stories, and easy steps for building the chosen graph in Excel. The 'Second Edition' includes a revamped chapter on qualitative data, nine new qualitative graph types, new shortcuts in Excel, and a new chapter on sharing your data with the world.
45.00 (10-156-3)
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