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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).
Microsoft Office 2016 (codenamed Office 16) is a version of the Microsoft Office productivity suite, succeeding both Office 2013 and Office for Mac 2011 and preceding Office 2019 for both platforms. It was released on macOS on July 9, 2015, and on Microsoft Windows on September 22, 2015, for Office 365 subscribers.
Microsoft Office 1.5 for Mac was released in 1991 and included the updated Excel 3.0, the first application to support Apple's System 7 operating system. [177] Microsoft Office 3.0 for Mac was released in 1992 and included Word 5.0, Excel 4.0, PowerPoint 3.0 and Mail Client. Excel 4.0 was the first application to support new AppleScript. [177]
The website offers dozens of free, self-paced tutorials in technology, Microsoft Office, work and career, reading, math, and everyday life. [3] [4] All tutorials can be accessed with no registration required, but users can also create a free edu.GCFGlobal.org account to track their learning history and create transcripts of completed tutorials. [5]
Excel pivot tables include the feature to directly query an online analytical processing (OLAP) server for retrieving data instead of getting the data from an Excel spreadsheet. On this configuration, a pivot table is a simple client of an OLAP server.
Microsoft Office 2019 (second release codenamed Office 16) is a version of Microsoft Office for both Windows and Mac. [9] It was unveiled on April 27, 2018, for Microsoft Windows and June 12, 2018, for macOS, and launched on September 24, 2018. [1]
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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.
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