When.com Web Search

  1. Ad

    related to: vlookup automatically expand data in one workbook excel

Search results

  1. Results From The WOW.Com Content Network
  2. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    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).

  3. Data virtualization - Wikipedia

    en.wikipedia.org/wiki/Data_virtualization

    Data virtualization is an approach to data management that allows an application to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, [1] and can provide a single customer view (or single view of any other entity) of the overall data. [2]

  4. Wikipedia:Citation expander - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Citation_expander

    The gadget will add missing data to citations using citation templates, and makes corrections to their formatting using the logic of Citation bot. The tool is activated on whichever page you are viewing, via one of two methods: If you are editing a page, a Citations button underneath the edit box will expand any citations within the edit box ...

  5. Inline expansion - Wikipedia

    en.wikipedia.org/wiki/Inline_expansion

    In computing, inline expansion, or inlining, is a manual or compiler optimization that replaces a function call site with the body of the called function. Inline expansion is similar to macro expansion, but occurs during compilation, without changing the source code (the text), while macro expansion occurs prior to compilation, and results in different text that is then processed by the compiler.

  6. Data augmentation - Wikipedia

    en.wikipedia.org/wiki/Data_augmentation

    Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. [1] [2] Data augmentation has important applications in Bayesian analysis, [3] and the technique is widely used in machine learning to reduce overfitting when training machine learning models, [4] achieved by training models on several slightly-modified copies of existing data.