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| เลขหมู่ |
QA76.9.I52 S393 2021 | | ชื่อเรื่อง |
Better data visualizations : a guide for scholars,researchers, and wonks / Jonathan Schwabish. | | ผู้แต่ง |
Schwabish, Jonathan A. | | ISBN |
9780231193115 paperback | | พิมพลักษณ์ |
New York : Columbia University Press, [2021] | | รูปเล่ม |
xi, 449 pages : illustrations (chiefly color), maps(chiefly color) ; 24 cm | | หมายเหตุ |
Contents: Introduction
-- Part one: Principles of data visualization
-- 1. Visual processing and perceptual rankings
-- 2. Fiveguidelines for better data visualizations
-- 3. Form and function : let your audience^'s needs drive your data visualization choices
-- Part two: Chart types
-- 4. Comparing categories
-- 5. Time
-- 6. Distribution
-- 7. Geospatial
-- 8. Relationship -- 9. Part-to-whole -- 10. Qualitative -- 11. Tables -- Part three: Designing and redesigning your visual -- 12. Developing a data visualization style guide -- 13. Redesigns -- Conclusion -- Appendix 1: Data visualization tools -- Appendix 2: Further reading and resources. | | หมายเหตุ |
Contents: Introduction: How I learned to visualize my data
-- Visual processing and perceptual rankings
-- Five guidelines for better data visualization
-- Form and function
-- Comparing categories
-- Time
-- Distribution
-- Geospatial
-- Relationship
-- Part-to-whole
-- Qualitative -- Tables -- Developing a data visualization style guide -- Redesigns. | | หมายเหตุ |
Summary: This book details essential strategies to create moreeffective data visualizations. The author walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through morethan five hundred examples, the author demonstrates the do^'s and don^'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart^'s design. | | หมายเหตุ |
Summary: Now more than ever, content must be visual if it is totravel far. Readers everywhere are overwhelmed with a flowof data, news, and text. Visuals can cut through the noiseand make it easier for readers to recognize and recall information. Yet many researchers were never taught how topresent their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line,bar, and pie charts. Through more than five hundred examples, he demonstrates the do^'s and don^'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart^'s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place inthe visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that bestfits for your data, and clearly communicate your message^"-- Provided by publisher. | | หัวเรื่อง |
Information visualization. | | หัวเรื่อง |
Visual analytics. |
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