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  2. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    Pivot tables are not created automatically. For example, in Microsoft Excel one must first select the entire data in the original table and then go to the Insert tab and select "Pivot Table" (or "Pivot Chart"). The user then has the option of either inserting the pivot table into an existing sheet or creating a new sheet to house the pivot table.

  3. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    Practically, this means that Power Pivot is acting as an Analysis Services Server instance on the local workstation. As a result, larger data models may not be compatible with the 32-bit version of Excel. Data Analysis Expressions (DAX) is the primary expression language, although the model can also be queried via Multi Dimensional Expressions ...

  4. 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).

  5. List of mass spectrometry software - Wikipedia

    en.wikipedia.org/wiki/List_of_mass_spectrometry...

    Link library and tools that are a set of modular and extensible open-source, cross-platform tools and software libraries that facilitate proteomics data analysis. ProteoWorker: Proprietary: Cloud-based software for proteomics data analysis including COMET, Peptide Prophet, ProteinProphet and extensive data sorting, filtering and annotation tools.

  6. Symbolic data analysis - Wikipedia

    en.wikipedia.org/wiki/Symbolic_Data_Analysis

    Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure.

  7. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...

  8. Wikipedia:You can't fix Google through Wikipedia - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:You_can't_fix...

    Search results from the Google search engine often include their Knowledge Panel, a block of information on the topic presented by Google itself. This panel frequently includes a link to Wikipedia, leading people to believe that Wikipedia is the source of this information, and that any misinformation in the Google output can be corrected by ...

  9. Competitor analysis - Wikipedia

    en.wikipedia.org/wiki/Competitor_analysis

    This analysis provides both an offensive and defensive strategic context to identify opportunities and threats. Profiling combines all of the relevant sources of competitor analysis into one framework in the support of efficient and effective strategy formulation, implementation, monitoring and adjustment.

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