Abstract
Any data which is visualized has a significant influence on its readers. But often it is discussed that the visual dashboards mislead or misinterpret the facts. This could lead to ethical issues. Such factors in the data visualizations have the potential of changing the audience’s perception towards a data. This leads to critical ethical dilemmas which is the major concern. Zui Chen states that “Data visualization relies substantively on authors' choices of axes arrangement, such as truncation and scaling, as well as the shapes, including figure types and relative sizes [1]”. Though, the deceptive and non-deceptive analysis are the two popular words among the data visualizers, it is often overlooked by the visualizers while working building the dashboards. In this project I propose a study which highlights the importance of education and avoid un-ethical/deceptive practices while building data visualization dashboards and build a dashboard to educate the visual researchers, developers, students, and viewers.