13 Facts About Data visualization

Data and information visualization is an interdisciplinary field that deals with the graphic representation of data and information.

Data and information visualization has its roots in the field of statistics and is therefore generally considered a branch of descriptive statistics.

Information Data visualization focused on the creation of approaches for conveying abstract information in intuitive ways.

Data visualization analysis is an indispensable part of all applied research and problem solving in industry.

Information Data visualization is a hypothesis generation scheme, which can be, and is typically followed by more analytical or formal analysis, such as statistical hypothesis testing.

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Effective visualization helps users analyze and reason about data and evidence.

Data visualization is closely related to information graphics, information visualization, scientific visualization, exploratory data analysis and statistical graphics.

Proper Data visualization provides a different approach to show potential connections, relationships, etc.

The recent emphasis on Data visualization started in 1987 with the special issue of Computer Graphics on Visualization in Scientific Computing.

Data visualization involves specific terminology, some of which is derived from statistics.

Interactive data visualization enables direct actions on a graphical plot to change elements and link between multiple plots.

Interactive data visualization has been a pursuit of statisticians since the late 1960s.

Data visualization presentation architecture is a skill-set that seeks to identify, locate, manipulate, format and present data in such a way as to optimally communicate meaning and proper knowledge.