Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
Authors: Claus O. Wilke
ISBN-10: 1492031089
ISBN-13: 9781492031086
Edition 版次: 1
Publication Date 出版日期: 2019-04-14
Print Length 页数: 390 pages
Book Description
By finelybook
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today,scientists,engineers,and business analysts often have to navigate a bewildering array of visualization choices and options.
This practical book takes you through many commonly encountered visualization problems,and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization.
Explore the basic concepts of color as a tool to highlight,distinguish,or represent a value
Understand the importance of redundant coding to ensure you provide key information in multiple ways
Use the book’s visualizations directory,a graphical guide to commonly used types of data visualizations
Get extensive examples of good and bad figures
Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
1. Introduction
1. From Data to Visualization
2. Visualizing Data: Mapping Data onto Aesthetics
3. Coordinate Systems and Axes
4. Color Scales
5. Directory of Visualizations
6. Visualizing Amounts
7. Visualizing Distributions: Histograms and Density Plots
8. Visualizing Distributions: Empirical Cumulative Distribution Functions and Q-Q Plots
9. Visualizing Many Distributions at Once
10. Visualizing Proportions
11. Visualizing Nested Proportions
12. Visualizing Associations Among Two or More Quantitative Variables
13. Visualizing Time Series and Other Functions of an Independent Variable
14. Visualizing Trends
15. Visualizing Geospatial Data
16. Visualizing Uncertainty
ll. Principles of Figure Design
17. The Principle of Proportional ink
18. Handling Overlapping Points
19. Common Pitfalls of Color Use
20. Redundant Coding
21. Multipanel Figures
22. Titles,Captions,and Tables
23. Balance the Data and the Context
24. Use Larger Axis Labels
25. Avoid Line Drawings
26. Don’t Go 3D
lⅢ. Miscellaneous Topics
27. Understanding the Most Commonly Used Image File Formats
28. Choosing the Right Visualization Software
29. Telling a Story and Making a Point
Annotated Bibliography
Technical Notes
References
Index
Fundamentals of Data Visualization 9781492031086. zip[/erphpdown]
