Better Data Visualizations : : A Guide for Scholars, Researchers, and Wonks / / Jonathan Schwabish.
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their...
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Physical Description: | 1 online resource :; 533 color charts, graphs, and illustrations. 1 table |
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Schwabish, Jonathan, author. aut http://id.loc.gov/vocabulary/relators/aut Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Jonathan Schwabish. New York, NY : Columbia University Press, [2021] ©2021 1 online resource : 533 color charts, graphs, and illustrations. 1 table text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Frontmatter -- CONTENTS -- INTRODUCTION -- PART ONE: PRINCIPLES OF DATA VISUALIZATION -- 1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS -- 2. FIVE GUIDELINES 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-HOLE -- 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 -- Acknowledgments -- References -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present 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 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. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) Information visualization. Visual analytics. COMPUTERS / Data Visualization. bisacsh Title is part of eBook package: De Gruyter Columbia University Press Complete eBook-Package 2021 9783110739077 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English 9783110754001 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 9783110753776 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English 9783110754070 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 9783110753837 ZDB-23-DEI https://doi.org/10.7312/schw19310 https://www.degruyter.com/isbn/9780231550154 Cover https://www.degruyter.com/document/cover/isbn/9780231550154/original |
language |
English |
format |
eBook |
author |
Schwabish, Jonathan, Schwabish, Jonathan, |
spellingShingle |
Schwabish, Jonathan, Schwabish, Jonathan, Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Frontmatter -- CONTENTS -- INTRODUCTION -- PART ONE: PRINCIPLES OF DATA VISUALIZATION -- 1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS -- 2. FIVE GUIDELINES 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-HOLE -- 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 -- Acknowledgments -- References -- Index |
author_facet |
Schwabish, Jonathan, Schwabish, Jonathan, |
author_variant |
j s js j s js |
author_role |
VerfasserIn VerfasserIn |
author_sort |
Schwabish, Jonathan, |
title |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / |
title_sub |
A Guide for Scholars, Researchers, and Wonks / |
title_full |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Jonathan Schwabish. |
title_fullStr |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Jonathan Schwabish. |
title_full_unstemmed |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Jonathan Schwabish. |
title_auth |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / |
title_alt |
Frontmatter -- CONTENTS -- INTRODUCTION -- PART ONE: PRINCIPLES OF DATA VISUALIZATION -- 1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS -- 2. FIVE GUIDELINES 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-HOLE -- 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 -- Acknowledgments -- References -- Index |
title_new |
Better Data Visualizations : |
title_sort |
better data visualizations : a guide for scholars, researchers, and wonks / |
publisher |
Columbia University Press, |
publishDate |
2021 |
physical |
1 online resource : 533 color charts, graphs, and illustrations. 1 table |
contents |
Frontmatter -- CONTENTS -- INTRODUCTION -- PART ONE: PRINCIPLES OF DATA VISUALIZATION -- 1. VISUAL PROCESSING AND PERCEPTUAL RANKINGS -- 2. FIVE GUIDELINES 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-HOLE -- 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 -- Acknowledgments -- References -- Index |
isbn |
9780231550154 9783110739077 9783110754001 9783110753776 9783110754070 9783110753837 |
url |
https://doi.org/10.7312/schw19310 https://www.degruyter.com/isbn/9780231550154 https://www.degruyter.com/document/cover/isbn/9780231550154/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
001 - Knowledge |
dewey-full |
001.4/226 |
dewey-sort |
11.4 3226 |
dewey-raw |
001.4/226 |
dewey-search |
001.4/226 |
doi_str_mv |
10.7312/schw19310 |
work_keys_str_mv |
AT schwabishjonathan betterdatavisualizationsaguideforscholarsresearchersandwonks |
status_str |
n |
ids_txt_mv |
(DE-B1597)566437 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter Columbia University Press Complete eBook-Package 2021 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 |
is_hierarchy_title |
Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / |
container_title |
Title is part of eBook package: De Gruyter Columbia University Press Complete eBook-Package 2021 |
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