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Space normalization is a related string manipulation where in addition to removing surrounding whitespace, any sequence of whitespace characters within the string is replaced with a single space. Space normalization is performed by the function named Trim() in spreadsheet applications (including Excel , Calc , Gnumeric , and Google Docs ), and ...
Alteryx, Inc. is an American computer software company based in Irvine, California, [1] with offices worldwide. The company's products are used for data science and analytics . [ 2 ] [ 3 ]
There will be no text to the right of the table of contents, though an image or a vertical template, such as an infobox, will appear in the space to the right if formatting causes it to require that space. Still, no text will appear in the space in between; it'll be white (as you notice, there is some white space between the TOC box and the ...
A whitespace character is a character data element that represents white space when text is rendered for display by a computer.. For example, a space character (U+0020 SPACE, ASCII 32) represents blank space such as a word divider in a Western script.
Leading space: Leading spaces are another way to preserve formatting. Putting a space at the beginning of each line stops the text from being reformatted.
Typography is the art and technique of setting written subject matter in type using a combination of typeface styles, point sizes, line lengths, line leading, character spacing, and word spacing to produce typeset artwork in physical or digital form. The same block of text set with 50% leading: Typography is the art and technique of setting written subject matter in type using a combination of ...
Long filenames containing spaces or other special characters must not be quoted ("). By default, the current directory is searched first, but some command-line processors like 4DOS allow " . " (for "current directory") to be included in the list as well in order to override this search order; some DOS programs are incompatible with this extension.
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing.. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified.