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Analysis (pl.: analyses) is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (384–322 BC), though analysis as a formal concept is a relatively recent development.
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]
Mathematical analysis formally developed in the 17th century during the Scientific Revolution, [3] but many of its ideas can be traced back to earlier mathematicians. Early results in analysis were implicitly present in the early days of ancient Greek mathematics.
In management literature, gap analysis involves the comparison of actual performance with potential or desired performance. [1] If an organization does not make the best use of current resources, or forgoes investment in productive physical capital or technology, it may produce or perform below an idealized potential.
The cerebral cortex is responsible for analytical thinking in the human brain.. Analytical skill is the ability to deconstruct information into smaller categories in order to draw conclusions. [1]
Complex analysis, traditionally known as the theory of functions of a complex variable, is the branch of mathematical analysis that investigates functions of complex numbers.
Spatial analysis confronts many fundamental issues in the definition of its objects of study, in the construction of the analytic operations to be used, in the use of computers for analysis, in the limitations and particularities of the analyses which are known, and in the presentation of analytic results.
The basic and historically first class of spaces studied in functional analysis are complete normed vector spaces over the real or complex numbers.Such spaces are called Banach spaces.