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  2. Pivot table - Wikipedia

    en.wikipedia.org/wiki/Pivot_table

    A pivot table is a table of values which are aggregations of groups of individual values from a more extensive table (such as from a database, spreadsheet, or business intelligence program) within one or more discrete categories. The aggregations or summaries of the groups of the individual terms might include sums, averages, counts, or other ...

  3. Power Pivot - Wikipedia

    en.wikipedia.org/wiki/Power_Pivot

    Power Pivot supports the use of expression languages to query the model and calculate advanced measures. Pivot tables or pivot charts may be used to explore the model once built. It is available as an add-in in Excel 2010, as a separate download for Excel 2013, and is included by default since Excel 2016.

  4. Pito Salas - Wikipedia

    en.wikipedia.org/wiki/Pito_Salas

    In their book Pivot Table Data Crunching, authors Bill Jelen and Mike Alexander call Pito Salas the "father of pivot tables" and credit the pivot table concept with allowing an analyst to replace fifteen minutes of complicated data table and database functions with "just seconds" of dragging fields into place.

  5. 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).

  6. Microsoft Live Labs Pivot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Live_Labs_Pivot

    Pivot is a software application from Microsoft Live Labs that allows users to interact with and search large amounts of data. It is based on Microsoft's Seadragon . [ 1 ] [ 2 ] It has been described as allowing users to view the web as a web rather than as isolated pages.

  7. Pivot point (technical analysis) - Wikipedia

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

    A pivot point is calculated as an average of significant prices (high, low, close) from the performance of a market in the prior trading period. If the market in the following period trades above the pivot point it is usually evaluated as a bullish sentiment, whereas trading below the pivot point is seen as bearish.