Definition: The word "abstracted" refers to a type of data that can be transferred from one system or source (such as an Excel workbook) to another without being directly related to the original data. This abstracted data can be used in various applications, such as analysis, visualization, and machine learning. The abstracted data is created by converting non-matrix formats into matrix forms using a specific technique or algorithm called "abstracting." Abstracted data is typically stored in tables or matrices in Excel and can be accessed through formulas. The process of abstracting allows for the reuse and sharing of data within a particular system, even when the original format has been changed. Abstracted data can also be used to represent and analyze complex data sets without having to first transform the original data into its raw form. This is because the abstracted data is always in matrix forms, which make it easier to perform operations on and compare with other matrices or tables. In summary, the word "abstracted" refers to a type of data that can be transferred from one system or source without being directly related to the original data, allowing for reuse and sharing of data within a particular system.
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