Draft
Data analysis
12
Ethics and responsible analysis
Data in Wonderland
Preface
Narrative communication
1
Communication scopes
2
Specification and communication with AI
3
Audiences and the utility of decisions
4
Purpose, audience, and craft
5
Persuasion
6
Heuristics and biases
7
Integrating Text and Data
Data analysis
Visual communication
14
Visual design and perception
15
Visual Perception: Gestalt Principles and Preattentive Attributes
16
Perceptions of visual decoding
17
Encoding uncertainty, estimates, and forecasts
19
Foundations of interactive data-driven, visual design
20
Technology for interactivity
21
Specification: Writing Prompts for Interactive Graphics
22
Interactivity, whole communications
Telling the story
23
Oral narrative, data graphics
24
User-centered content design
List of Data Sources
References
Table of contents
12.1
Ethical considerations in data collection
12.2
Privacy and confidentiality
12.3
Algorithmic bias and fairness
12.4
Transparency and reproducibility
12.5
Responsible communication of results
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Data analysis
12
Ethics and responsible analysis
12
Ethics and responsible analysis
[Content to be developed]
12.1
Ethical considerations in data collection
12.2
Privacy and confidentiality
12.3
Algorithmic bias and fairness
12.4
Transparency and reproducibility
12.5
Responsible communication of results
11
Statistical thinking and inference
13
Working with data sources