Chapter
Open Access
16. What we talk about when we talk about beautiful data visualizations
-
Sara Brinch
Chapters in this book
- Frontmatter 1
- Table of Contents 5
- List of tables 8
- List of figures 9
- Acknowledgements 15
- Foreword: The dawn of a philosophy of visualization 17
- 1. Introduction : The relationships between graphs, charts, maps and meanings, feelings, engagements 19
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Section I. Framing data visualization
- 2. Ways of knowing with data visualizations 35
- 3. Inventorizing, situating, transforming : Social semiotics and data visualization 49
- 4. The political significance of data visualization: Four key perspectives 4. The political significance of data visualization: Four key perspectives 63
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Section II. Living and working with data visualization
- 5. Rain on your radar : Engaging with weather data visualizations as part of everyday routines 77
- 6. Between automation and interpretation : Using data visualization in social media analytics companies 95
- 7. Accessibility of data visualizations : An overview of European statistics institutes 111
- 8. Evaluating data visualization : Broadening the measurements of success 127
- 9. Approaching data visualizations as interfaces : An empirical demonstration of how data are imag(in)ed 141
- 10. Visualizing data: A lived experience 157
- 11. Data visualization and transparency in the news 169
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Section III. Data visualization, learning, and literacy
- 12. What is visual-numeric literacy, and how does it work? 189
- 13. Data visualization literacy: A feminist starting point 207
- 14. Is literacy what we need in an unequal data society? 223
- 15. Multimodal academic argument in data visualization 239
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Section IV. Data visualization semiotics and aesthetics
- 16. What we talk about when we talk about beautiful data visualizations 259
- 17. A multimodal perspective on data visualization 277
- 18. Exploring narrativity in data visualization in journalism 295
- 19. The data epic : Visualization practices for narrating life and death at a distance 313
- 20. What a line can say : Investigating the semiotic potential of the connecting line in data visualizations 329
- 21. Humanizing data through ‘data comics’ : An introduction to graphic medicine and graphic social science 347
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Section V. Data visualization and inequalities
- 22. Visualizing diversity: Data deficiencies and semiotic strategies 369
- 23. What is at stake in data visualization? A feminist critique of the rhetorical power of data visualizations in the media 391
- 24. The power of visualization choices: Different images of patterns in space 407
- 25. Making visible politically masked risks : Inspecting unconventional data visualization of the Southeast Asian haze 425
- 26. How interactive maps mobilize people in geoactivism 441
- Index 457
Chapters in this book
- Frontmatter 1
- Table of Contents 5
- List of tables 8
- List of figures 9
- Acknowledgements 15
- Foreword: The dawn of a philosophy of visualization 17
- 1. Introduction : The relationships between graphs, charts, maps and meanings, feelings, engagements 19
-
Section I. Framing data visualization
- 2. Ways of knowing with data visualizations 35
- 3. Inventorizing, situating, transforming : Social semiotics and data visualization 49
- 4. The political significance of data visualization: Four key perspectives 4. The political significance of data visualization: Four key perspectives 63
-
Section II. Living and working with data visualization
- 5. Rain on your radar : Engaging with weather data visualizations as part of everyday routines 77
- 6. Between automation and interpretation : Using data visualization in social media analytics companies 95
- 7. Accessibility of data visualizations : An overview of European statistics institutes 111
- 8. Evaluating data visualization : Broadening the measurements of success 127
- 9. Approaching data visualizations as interfaces : An empirical demonstration of how data are imag(in)ed 141
- 10. Visualizing data: A lived experience 157
- 11. Data visualization and transparency in the news 169
-
Section III. Data visualization, learning, and literacy
- 12. What is visual-numeric literacy, and how does it work? 189
- 13. Data visualization literacy: A feminist starting point 207
- 14. Is literacy what we need in an unequal data society? 223
- 15. Multimodal academic argument in data visualization 239
-
Section IV. Data visualization semiotics and aesthetics
- 16. What we talk about when we talk about beautiful data visualizations 259
- 17. A multimodal perspective on data visualization 277
- 18. Exploring narrativity in data visualization in journalism 295
- 19. The data epic : Visualization practices for narrating life and death at a distance 313
- 20. What a line can say : Investigating the semiotic potential of the connecting line in data visualizations 329
- 21. Humanizing data through ‘data comics’ : An introduction to graphic medicine and graphic social science 347
-
Section V. Data visualization and inequalities
- 22. Visualizing diversity: Data deficiencies and semiotic strategies 369
- 23. What is at stake in data visualization? A feminist critique of the rhetorical power of data visualizations in the media 391
- 24. The power of visualization choices: Different images of patterns in space 407
- 25. Making visible politically masked risks : Inspecting unconventional data visualization of the Southeast Asian haze 425
- 26. How interactive maps mobilize people in geoactivism 441
- Index 457