MARC details
000 -LEADER |
fixed length control field |
02021nam a22002057a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20221215131845.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
221215b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780231193115 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
001.4226 |
Item number |
SCH |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Schwabish,Jonathan |
245 ## - TITLE STATEMENT |
Title |
Better data visualizations: |
Remainder of title |
a guide for scholars, researchers, and wonks |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Columbia University Press |
Place of publication, distribution, etc. |
New York |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
449 p. |
365 ## - TRADE PRICE |
Price type code |
USD |
Price amount |
28.95 |
500 ## - GENERAL NOTE |
General note |
Introduction<br/>Part I: Principles of Data Visualization<br/>1. Visual Processing and Perceptual Rankings<br/>2. Five Guidelines for Better Data Visualizations<br/>3. Form and Function<br/>Part II: Chart Types<br/>4. Comparing Categories<br/>5. Time<br/>6. Distribution<br/>7. Geospatial<br/>8. Relationship<br/>9. Part-to-Whole<br/>10. Qualitative<br/>11. Tables<br/>Part III: Designing and Redesigning Your Visual<br/>12. Developing a Data Visualization Style Guide<br/>13. Redesigns<br/>Conclusion<br/>Appendix 1. Data Visualization Tools<br/>Appendix 2. Further Reading and Resources<br/>Acknowledgments<br/>References<br/>Index |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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 in the 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 best fits for your data, and clearly communicate your message. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Visual analytics |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information visualization |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Book |