Search results
Results from the WOW.Com Content Network
The field of data and information visualization has emerged "from research in human–computer interaction, computer science, graphics, visual design, psychology, and business methods. It is increasingly applied as a critical component in scientific research, digital libraries , data mining , financial data analysis, market studies ...
Visual analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." [2] It can attack certain problems whose size, complexity, and need for closely coupled human and machine analysis may make them otherwise intractable. [3]
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Special pages
The term "information visualization" was originally coined by the User Interface Research Group at Xerox PARC and included Jock Mackinlay. [ citation needed ] Practical application of information visualization in computer programs involves selecting, transforming , and representing abstract data in a form that facilitates human interaction for ...
Supports organized business with meaning and useful data; Applies human visual perception to visual presentation of information [16] It can be accessed easily by its intended audience [17] A research-based framework for Business Intelligence dashboard design suggests that "cross-visual interactivity" is the most impactful of all features. [18]
Guided analytics applications lie in the intersection between business intelligence and predictive analytics. A great number of business analysts rely on business intelligence tools to flexibly extract specific information from data. [1] It is often required to automatically run an analysis on the raw data before information can be extracted. [2]
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.