Effective data visualization : the right chart for the right data
著者
書誌事項
Effective data visualization : the right chart for the right data
SAGE, c2017
- : pbk
大学図書館所蔵 全5件
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This comprehensive how-to guide functions as a set of blueprints-supported by research and the author's extensive experience with clients in industries all over the world-for conveying data in an impactful way. The book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for making the chosen graph in Excel.
Available with Perusall-an eBook that makes it easier to prepare for class
Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
目次
1. Our Backbone: Why We Visualize
Why We Visualize
When Visualization Is Harmful
Which Chart Type Is Best?
How to Use This Book
Exercises
Resources
References
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?
How Can I Show Measures of Variability?
Exercises
Resources
References
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?
Exercises
Resources
References
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?
Exercises
Resources
References
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?
Ranking
Branching
Visualizing Not Applicable or Missing Data
Exercises
Resources
References
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?
Exercises
Resources
References
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?
Exercises
Resources
References
8. When the Words Have the Meaning: Visualizing Qualitative Data
What Stories Can Be Told When the Words Have the Meaning?
How Can I Visualize When the Words Have the Meaning?
Exercises
Resources
References
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?
Exercises
Resources
References
10. 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
Exercises
Resources
Reference
「Nielsen BookData」 より