Effective data visualization : the right chart for the right data

著者

    • Evergreen, Stephanie D. H.

書誌事項

Effective data visualization : the right chart for the right data

Stephanie D.H. Evergreen

SAGE, c2017

  • : pbk

大学図書館所蔵 件 / 全5件

この図書・雑誌をさがす

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

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