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Data validation is intended to provide certain well-defined guarantees for fitness and consistency of data in an application or automated system. Data validation rules can be defined and designed using various methodologies, and be deployed in various contexts. [1]
The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]
Specific software features include a codeset option, auto codeset detection, an unlimited undo/redo feature, [14] and drag and drop capabilities. [18] Fonts can be chosen from among the operating system's available computer fonts, [14] and keybindings can be used for many features such as saving a file and printing. [4] Leafpad is available in ...
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container.
In the panel data fixed effects estimator dummies are created for each of the units in cross-sectional data (e.g. firms or countries) or periods in a pooled time-series. However in such regressions either the constant term has to be removed, or one of the dummies removed making this the base category against which the others are assessed, for ...
In the COBOL programming language, a user-defined function is an entity that is defined by the user by specifying a FUNCTION-ID paragraph. A user-defined function must return a value by specifying the RETURNING phrase of the procedure division header and they are invoked using the function-identifier syntax.
DOS For Dummies, the first, published in 1991, whose first printing was just 7,500 copies [4] [5] Windows for Dummies, asserted to be the best-selling computer book of all time, with more than 15 million sold [4] L'Histoire de France Pour Les Nuls, the top-selling non-English For Dummies title, with more than 400,000 sold [4]
The process of converting a narrow table to wide table is generally referred to as "pivoting" in the context of data transformations. The "pandas" python package provides a "pivot" method which provides for a narrow to wide transformation.