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Introduction
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11 Math & Trig Functions This is the final chapter dealing with DAX functions and formulas It deals with the Math & Trig functions However, you won t find any trigonometric functions, as such expect these to appear in a later version of PowerPivot for Excel Some of the functions, for example, EXP() and LN(), are probably for specialized use only However, many of the others are going to be very popular particularly, the eight functions devoted to rounding numbers SUM() and SUMX() are Math & Trig functions, although they have much in common with the Statistical functions as well They were both covered in an earlier chapter on aggregate functions (that is, Statistical functions with SUM() and SUMX()), but are mentioned here again for completeness In any case, SUMX() is worth a second look, as it s going to be very useful in many BI situations
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Part III: PowerPivot and DAX Applied
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12 A Few Ideas: PowerPivot and DAX Solutions The real world is the real world Software, and books about software, can only give you out-of-the-box solutions easily Real-world solutions require a bit more work This chapter presents a few ideas for moving beyond out-of-the-box answers It is all about implementing PowerPivot and DAX to deal with common business problems The three appendixes that follow this chapter have a narrower focus: how to write SQL, MDX, and DMX queries for assembling data in your PowerPivot model In contrast, this chapter is more concerned with using DAX and the PowerPivot GUI to provide solutions, once you already have the data in place That said, there is a little on importing data to address the problem of working effectively with dates and dealing with self-joins Working with dates can lead to a number of problems some of these are addressed here There are also a few classic BI solutions in this chapter percentage of total and subtotal, running totals, changes over time, moving averages, suppressing totals for nonadditive numbers, dealing with semi-additive numbers, customizing DAX formulas for individual rows or columns, predefining filters, predefining Column Labels and Row Labels with named sets, working without pivot tables, sharing your pivot reports with others through SharePoint, and a few other things
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Part IV: Appendixes: Queries for PowerPivot
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Appendix A SQL Queries for PowerPivot This is a short appendix It s aimed at those readers who need a brief introduction to SQL, with some basic syntax examples We also discuss the reasons for writing your own queries to import data into PowerPivot, rather than simply importing complete tables A few query fundamentals are covered: filtering, sorting, grouping, and denormalizing data with joins and self-joins There are also examples of using a stored procedure and writing SQL against Excel
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Prac tical PowerPivot & DAX Formulas for Excel 2010
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Appendix B MDX Queries for PowerPivot MDX (MultiDimensional eXpressions) is a very powerful query language for extracting data from cubes While PowerPivot can generate sophisticated MDX for you, you may want the total control that writing your own MDX gives you You can use MDX to import from either an SSAS cube or a PowerPivot model that has been published to PowerPivot for SharePoint This appendix demonstrates some of the fundamentals of MDX It also shows how best to adapt your MDX for PowerPivot Appendix C DMX Queries for PowerPivot You may have SSAS data mining structures and data mining models You normally query these objects using DMX (Data Mining eXtensions), perhaps from SSMS (SQL Server Management Studio) or from SSRS (SQL Server Reporting Services) Although this release of PowerPivot supports the graphical design of SQL and MDX queries, it does not support the graphical design of DMX queries You can, however, write your own DMX You do so by connecting to an SSAS source and entering the DMX into the MDX Statement area of the Specify a MDX Query dialog, in the Table Import Wizard Another way is to embed your DMX query within a SQL query and import the data returned from the outer SQL query To do that, you connect to a SQL Server source and enter the SQL/DMX into the SQL Statement area of the Specify a SQL Query dialog of the Table Import Wizard Alternatively, you can query some data mining data from Excel itself for this you will need to download the data mining add-in for Excel (the data mining results are shown in an Excel worksheet when you use the Table Tools/Analyze ribbon, rather than the Data Mining ribbon), and you can then import or link into the PowerPivot window from the Excel worksheet Stand-alone DMX, or DMX embedded in SQL, works for DMX Cases, Content, Prediction and other queries This appendix includes sample code for a few Cases, Content, and Prediction queries
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