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  2. DIKW pyramid - Wikipedia

    en.wikipedia.org/wiki/DIKW_Pyramid

    DIKW pyramid: Each step up the pyramid creates value based on the initial data, and can be used to answer high-level questions. The DIKW pyramid, also known variously as the DIKW hierarchy, wisdom hierarchy, knowledge hierarchy, information hierarchy, information pyramid, and the data pyramid, [1] refers to a class of models [2] representing purported structural or functional relationships ...

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  4. Thematic analysis - Wikipedia

    en.wikipedia.org/wiki/Thematic_analysis

    Thematic analysis is one of the most common forms of analysis within qualitative research. [1][2] It emphasizes identifying, analysing and interpreting patterns of meaning (or "themes") within qualitative data. [1] Thematic analysis is often understood as a method or technique in contrast to most other qualitative analytic approaches – such ...

  5. Edward Tufte - Wikipedia

    en.wikipedia.org/wiki/Edward_Tufte

    Edward Tufte. Edward Rolf Tufte (/ ˈtʌfti /; [2] born March 14, 1942), [1] sometimes known as " ET ", [3] is an American statistician and professor emeritus of political science, statistics, and computer science at Yale University. [4] He is noted for his writings on information design and as a pioneer in the field of data visualization.

  6. Data valuation - Wikipedia

    en.wikipedia.org/wiki/Data_valuation

    Data valuation. Data valuation is a discipline in the fields of accounting and information economics. [1] It is concerned with methods to calculate the value of data collected, stored, analyzed and traded by organizations. This valuation depends on the type, reliability and field of data.

  7. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is "a concept to unify statistics, data analysis, informatics, and their related methods " to "understand and analyze actual phenomena " with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. [6]

  8. Opposite (semantics) - Wikipedia

    en.wikipedia.org/wiki/Opposite_(semantics)

    Opposite (semantics) In lexical semantics, opposites are words lying in an inherently incompatible binary relationship. For example, something that is male entails that it is not female. It is referred to as a 'binary' relationship because there are two members in a set of opposites. The relationship between opposites is known as opposition.

  9. Functional fixedness - Wikipedia

    en.wikipedia.org/wiki/Functional_fixedness

    Functional fixedness is a cognitive bias that limits a person to use an object only in the way it is traditionally used. The concept of functional fixedness originated in Gestalt psychology, a movement in psychology that emphasizes holistic processing. Karl Duncker defined functional fixedness as being a mental block against using an object in ...