Data visualization is a process that graphically represents information.
Most importantly, it enables us to see what we couldn’t see before, to bring understanding and to enable us to take affirmative actions.
Why use data visualization?
Visual information is much better perceived and allows one to quickly and effectively convey thoughts and ideas. Visual data is fundamental to all people. Studies confirm that 90% of the information a person perceives is through vision, 70% of sensory receptors are in the eyes, and about half of human brain neurons are involved in the processing of visual information.
Data visualization may be thought of as Business Intelligence: This ranges from simple representations, to data analytics, to predictive analytics and then the evolving spectrum of artificial intelligence.
Data Analytics typically is represented by several forms of visualization.
Data transformed into a form that enhances the perception and analysis of this information. It can be a map and a polar graph, a timeline and a graph with parallel axes, an Euler diagram.
For example, the most usual visual representation of quantitative information is a schematic form. These may be circular and linear diagrams, histograms and spectrograms, tables and various point charts.
Types of data visualization
Conceptual visualization allows us to develop complex concepts, ideas and plans using maps, Gantt charts, graphs with minimal path and other similar types of diagrams.
Combined visualization allows us to combine several complex graphs into one chart, as in a map with a weather forecast.