Data Visualization

Data Visualization
Data visualization is the presentation of data in a pictorial or graphical format.

As more and more data is collected and analyzed, decision makers at all levels welcome data visualization software that enables them to see analytical results presented visually, find relevance among the millions of variables, communicate concepts and hypotheses to others, and even predict the future.

Because of the way the human brain processes information, it is faster for people to grasp the meaning of many data points when they are displayed in charts and graphs rather than poring over piles of spreadsheets or reading pages and pages of reports.

Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. In the new millennium, data visualization has become an active area of research, teaching and development. According to Post et al. (2002), it has united scientific and information visualization.[4] Brian Willison has demonstrated that data visualization has also been linked to enhancing agile software development and customer engagement.[5]

KPI Library has developed the “Periodic Table of Visualization Methods,” an interactive chart displaying various data visualization methods.

Some examples of Data visualization are:
 * Diorama - A three-dimensional miniature or life-size scene in which figures, stuffed wildlife, or other objects are arranged in a naturalistic setting against a painted background.
 * Graphic organizers - They help the student convert and compress a lot of seemingly disjointed information into a structures, simple-to-read. graphic display. The resulting visual display conveys complex information in a simple-to-understand manner.
 * Photograph or Photo - is an image created by light falling on a light-sensitive surface, usually photographic film or an electronic medium such as a CCD or a CMOS chip.