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In data and information visualization, the goal is to graphically present and explore abstract, non-physical and non-spatial data collected from databases, information systems, file systems, documents, business data, etc. (presentational and exploratory visualization) which is different from the field of scientific visualization, where the goal ...
According to Bertin, each of the visual variables suggests its own mode of perception and interpretation, which MacEachren ties to the cognitive theory of Image schema (e.g., size: Large-small ~ more-less). [9] These modes make each variable better for representing certain kinds of information, and serving certain purposes, than others.
Visual schedules use a series of pictures to communicate a series of activities or the steps of a specific activity. [1] [2] They are often used to help children understand and manage the daily events in their lives. [3] They can be created using pictures, photographs, or written words, depending upon the ability of the child.
i2 Analyst's Notebook is a software product from i2 Group for data analysis. Based on ELP (entity-link-property) methodology, it reveals relationships between data entities to discover patterns and provide insight into data. It is commonly used by digital analysts at law enforcement, military and other government intelligence agencies, and by ...
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]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
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."
Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.