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Opportunity Forecasting
Data Visualization is a rapidly growing market that is set to take the world by storm in the coming years. It is predicted to reach 19.20 Billion USD by 2027 and North America is expected to be the largest market. The Global Data Visualization Market Size is projected to reach USD 19.20 billion by 2027, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period.
Ethics
Making data make sense and humanizing it. By telling it as a story it makes it more accessible than if you were just to look at the charts. The way he layered information and explained how his charts and graphs made sense it just wrapped you up in how he sees the reasons behind the numbers.
He speaks about how our biases and assumptions affect how we can read these visualizations but with his explanations and storytelling, it is much more clear.
Hans Rosling uses a mixture of static and dynamic data representation which helps the audience to connect patterns and see the changes in the data over time. It is a very effective and ethical example of taking raw data and making ethical decisions to present it accurately.
Derived from “How Charts Lie” by Tricia Bisoux
“Ethical thinking is about not only intentions, but consequences” but most chart manipulations happen due to oversight and not conscious maliciousness.
Data can be misrepresented and can confuse, manipulate, and mislead the audience.
We need to learn what charts and graphs DON’T necessarily show and why that’s important to recognize to diminish bias and misrepresentation. It’s like teaching a different language that also does not translate between fields. Like a meteorologist reading charts and graphs is very different to a layperson.
Students should be taught to first analyze the data to see what it shows or hides, then write a list of goals for what they want the visualization to communicate. Define their purpose. This extends beyond the graph and into the way they describe the data they are trying to explain.
https://www.aacsb.edu/insights/articles/2019/12/the-ethics-of-data-visualization
Takeaway Thought:
Critical thinking, acknowledging biases, and questioning data sources, as with anything that sounds too good to be true.
Ethical Concerns with Data Visualization
Ethical concerns in data visualization cover many issues like data honesty, visual clarity, fair representation, and privacy respect.
The actual collection and representation of data also encompasses ethical concerns. Especially when it comes to children and education.
Ignoring data uncertainty can lead the audience to develop a false sense of reliability which is not accurate, like polling results before a vote has been cast.
A New Wave of Ethical Practice
Accuracy and honesty
Clarity and simplicity
Fairness and objectivity
Privacy and trust
Inclusiveness and accessibility
Many Datavis companies around the world are placing more importance and focus on ethical practices with the vast amounts of data that is collected every day.
https://viborc.com/ethics-and-ethical-data-visualization-a-complete-guide/
Accessibility
What can be done to make Data Visualization more accessible?
With accessible descriptions:
1. Allowing BVI users to "navigate" a visualization, as they do for a current webpage
2. Programmatically generate natural language descriptions
3. Presenting an interactive query mode where users can ask questions about the data in natural language
Researchers at MIT are beginning to work on machine-learning models that could access information and then automatically suggest captions and perhaps models that could identify which information to extract and which were not as important or necessary for blind audiences.
“Rich natural-language descriptions of data graphics will not only expand access to critical information for people who are blind, but will also benefit a much wider audience as eyes-free interactions via smart speakers, chatbots, and other AI-powered agents become increasingly commonplace.”
As time goes on, tools will be able to implement these changes immediately and not as an afterthought. Something as simple as alternative text should be part of everyday life and not something people should have to live without.
https://news.mit.edu/2021/data-visualizations-accessible-blind-1012
https://www.statcan.gc.ca/en/data-science/network/data-visualizations-accessible
The Limitations to Accessibility
Many spaces are not inclusive and accessible to different groups of people. Whether it is visual or other accommodations to be made, it is an incredibly small percentage of websites and spaces that consider how Blind or visually impaired (BVI) people, or those with access information on their websites. "
Alternative text is often missing from online charts, and even when it is included, it is frequently uninformative or even incorrect, according to qualitative data gathered by scientists at MIT." which limits the type of information that visually impaired people can receive. It usually also does not provide enough detail nor provide spatial information of the graph, which sighted people would be able to grasp.
Jessica Lachance at Statistics Canada performed a study that reported that sighted and Blind people overwhelmingly chose different elements that were most important for understanding the charts. It stated to follow Shneiderman's Visual Information-Seeking mantra to "Overview first, zoom and filter, then details-on-demand."
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