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For instance, when customer data are duplicated and attached with each product bought, then redundancy of data is a known source of inconsistency since a given customer might appear with different values for one or more of their attributes. [4] Data redundancy leads to data anomalies and corruption and generally should be avoided by design; [5 ...
Free and open-source software portal; Pyspread is a non-traditional spreadsheet.Cells in pyspread's grid accept expressions in the Python programming language. [2] A cell can return any Python object, which allows calculations with vectors, matrices, fractions, arbitrary precision numbers and symbols.
Sourcetable [9] – AI spreadsheet that generates formulas, charts, SQL, and analyzes data. ThinkFree Online Calc – as part of the ThinkFree Office online office suite, using Java; Quadratic - A source available online spreadsheet for technical users, supporting Python, SQL, and Formulas.
The quantity is called the relative redundancy and gives the maximum possible data compression ratio, when expressed as the percentage by which a file size can be decreased. (When expressed as a ratio of original file size to compressed file size, the quantity R : r {\displaystyle R:r} gives the maximum compression ratio that can be achieved.)
LibreOffice Calc is the spreadsheet component of the LibreOffice software package. [7] [8]After forking from OpenOffice.org in 2010, LibreOffice Calc underwent a massive re-work of external reference handling to fix many defects in formula calculations involving external references, and to boost data caching performance, especially when referencing large data ranges.
Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS.It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA).
"Don't repeat yourself" (DRY), also known as "duplication is evil", is a principle of software development aimed at reducing repetition of information which is likely to change, replacing it with abstractions that are less likely to change, or using data normalization which avoids redundancy in the first place.
RBDs will indicate the type of redundancy in the parallel path. [1] For example, a group of parallel blocks could require two out of three components to succeed for the system to succeed. By contrast, any failure along a series path causes the entire series path to fail. [2] [3]