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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. 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).

  4. Data Analysis Expressions - Wikipedia

    en.wikipedia.org/wiki/Data_Analysis_eXpressions

    Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.

  5. 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 ...

  6. Date windowing - Wikipedia

    en.wikipedia.org/wiki/Date_windowing

    Date windowing is a method by which dates with two-digit years are converted to and from dates with four-digit years. [1] The year at which the century changes is called the pivot year of the date window. [2] Date windowing was one of several techniques used to resolve the year 2000 problem in legacy computer systems. [3]

  7. Automatic summarization - Wikipedia

    en.wikipedia.org/wiki/Automatic_summarization

    Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.

  8. 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]

  9. Summary statistics - Wikipedia

    en.wikipedia.org/wiki/Summary_statistics

    In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as simply as possible. Statisticians commonly try to describe the observations in

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