Information Visualization studies visual (interactive) representations of abstract data. Abstract data includes numerical and non-numerical data, such as text and geographic information. It is critical in scientific research, digital libraries, data mining, financial data analysis, market research, etc.
Information visualization assumes that visual representation and interaction techniques take advantage of the path’s width from the human eye to the mind to allow users to simultaneously see, explore, and understand large amounts of information. Information visualization focuses on the study of approaches to communicate abstract information in intuitive ways.
Dashboards and scatter diagrams are common examples of information visualization. By representing an overview and the visualization of relevant connections, the visualization of information allows users to extract insights from abstract data efficiently and effectively.
Information visualization is essential in making data accessible and transforming raw data into usable information. It is drawn from the fields of human-machine interaction, visual design, computer science, and cognitive science. Examples include world map-style representations, line graphs, and methods of virtual buildings in 3D or urban plans.