Creating more effective graphs /
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| Author / Creator: | Robbins, Naomi B., 1937- |
|---|---|
| Imprint: | Hoboken, N.J. : Wiley-Interscience, c2005. |
| Description: | xviii, 402 p. : ill. ; 23 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/6664460 |
Table of Contents:
- Preface
- 1. Introduction.
- 1.1. What we mean by an Efficient Graph
- 1.2. General Comments
- 1.2.1. Captions
- 1.2.2. The Data we Plot
- 2. Limitations of Some Common Charts and Graphs.
- 2.1. Pie Charts
- 2.2. Charts with 3-D Effect
- 2.3. Bar Charts: Stacked and Grouped
- 2.4. Difference Between Curves
- 2.5. Bubbled Plot
- 3. Human Perception and Our Ability to Decode Graphs.
- 3.1. Elementary Graphical Perception Tasks
- 3.2. Ordered Elementary Tasks
- 3.3. Role of Distance and Detection
- 4. Some More Effective Graphs in One or Two Dimensions.
- 4.1. Distribution of One Variable
- 4.1.1. Strip Plots
- 4.1.2. Dot Plots
- 4.1.3. Histograms
- 4.1.4. Jittering
- 4.2. Comparing Distributions: Boxplots
- 4.3. Relationship of Two Variables: Scatterplots
- 4.4. Time Series
- 4.5. Line Graphs
- 5. Trellis Display and Other Ways to Display More than Two Variables.
- 5.1. Alternative Presentations of Three Variables
- 5.1.1. Stacked Bar Chart
- 5.1.2. Labeled Scatterplot
- 5.1.3. Trellis Display
- 5.2. More Than Three Variables
- 5.2.1. Superposed Data Sets
- 5.2.2. Trellis Multipanel Displays
- 5.2.3. Scatterplot Matrices
- 5.2.4. Mosaic Plots
- 5.2.5. Linked Micromaps
- 5.2.6. Parallel Coordinate Plots
- 5.2.7. Nightingale Rose
- 5.2.8. Financial Plot
- 6. General Principles for Creating Effective Graphs.
- 6.1. Terminology
- 6.2. Visual Clarity
- 6.2.1. Clarity of Data
- 6.2.2. Clarity of Other Elements
- 6.3. Clear Understanding
- 6.4. General Strategy
- 7. Scales.
- 7.1. Aspect Ratio
- 7.2. Must Zero be Included?
- 7.3. When to Use Logarithmic Scales
- 7.4. Scale Breaks
- 7.5. Using Two Y Scales
- 7.6. Data Hidden in the Scales
- 7.7. Other Principles Involving Scales
- 8. Applying What We've Learned: Before and After Examples.
- 8.1. Grouped Bar Chart
- 8.2. Ten Small Graphs
- 8.3. Radar Chart
- 8.4. Multiple Pie Charts
- 8.5. Tables
- 9. Some Comments on Software.
- 9.1. Statistical Software: The S Language
- 9.2. Drawing Programs: Illustrator
- 9.3. Spreadsheets: Excel
- 9.3.1. Moving an Axis in Excel
- 9.3.2. Line Charts with Uneven Time Intervals
- 9.3.3. Dot Chart from Excel
- 9.3.4. Data Labels in Excel
- 10. Questions and Answers.
- 1. When Should I Use a Table and When Should I Use a Graph?
- 2. Should I Use Different Graphs for Presentations and for Written Reports
- 3. How Do Graphs for Data Analysis and Graphs for Communication Differ?
- 4. What Should I Use Instead of Pie Charts?
- 5. What If I Just Want an Impression of the Direction of the Data? Then May I Use 3-D Charts?
- 6. I Use 3-D Charts but I Included Data Labels. That's OK, Isn't It?
- 7. I Want my Graphs to Attract the Reader's Attention. How Should I decorate Them?
- 8. Why Do You Think We See so Many Bad Graphs?
- 9. When ShouldI Use each Kind of Graphs?
- AppendixA: Checklist of Possible Graph Defects
- AppendixB: List of Figures with Sources
- References
- Index
