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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

    Power Pivot expands on the standard pivot table functionality in Excel. In the Power Pivot editor, relationships can be established between multiple tables to effectively create foreign key joins. Power Pivot can scale to process very large datasets in memory, which allows users to analyze datasets that would otherwise surpass Excel's limit of ...

  4. Microsoft Excel - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Excel

    Graph made using Microsoft Excel. Excel supports charts, graphs, or histograms generated from specified groups of cells. It also supports Pivot Charts that allow for a chart to be linked directly to a Pivot table. This allows the chart to be refreshed with the Pivot Table.

  5. Pivot point (technical analysis) - Wikipedia

    en.wikipedia.org/wiki/Pivot_point_(technical...

    Using (+) and (-) symbols, the mid-point between the pivot point and R 1 can be designated as M+, between R 1 and R 2 is M++. Below the pivot point the mid-points are labeled as M− and M−−. Using a number format starting from 0 to 5, the mid-points start as M0 between S 3 and S 2 up to M5 between R 2 and R 3. [7]

  6. Spreadsheet - Wikipedia

    en.wikipedia.org/wiki/Spreadsheet

    Graph made using Microsoft Excel. Many spreadsheet applications permit charts and graphs (e.g., histograms, pie charts) to be generated from specified groups of cells that are dynamically re-built as cell contents change. The generated graphic component can either be embedded within the current sheet or added as a separate object.

  7. Pivotal quantity - Wikipedia

    en.wikipedia.org/wiki/Pivotal_quantity

    Then is called a pivotal quantity (or simply a pivot). Pivotal quantities are commonly used for normalization to allow data from different data sets to be compared. It is relatively easy to construct pivots for location and scale parameters: for the former we form differences so that location cancels, for the latter ratios so that scale cancels.

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