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Introduction
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5 Pivot Tables and Pivot Charts: Overview This chapter is concerned with looking at pivot reports that is, pivot tables and pivot charts The chapter is an overview; a whole book could easily be written about pivot tables in Excel, and another one just on pivot charts! The emphasis here is on creating pivot tables and charts The most important focus is on how to add data to a pivot report using the PowerPivot Field List But, once this is done, there are dozens of context menus, drop-down menus, and quite a few ribbons with dozens of buttons Some of these are explored in this chapter, especially where they are particularly relevant to working with PowerPivot These menu options and buttons help you organize, control, and format your pivot reports By the end of the chapter, you should be in a position to create meaningful and attractive pivot tables and charts
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Part II: DAX
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6 Fundamental Functions: Filter, Logical, and Miscellaneous Functions This is a wide-ranging chapter on some of the fundamental DAX functions It includes syntax and examples for all of the Filter functions and all of the Logical functions In addition, it discusses some uncategorized functions these are often referred to as information or IS() functions An example is ISBLANK() There is also one Text function, BLANK(), which has been added here because of its close relationship to ISBLANK() The Filter functions, in particular, are extremely powerful Among other things, they allow you to override the filter context that a user chooses in a pivot table They help to display classic BI values such as percentage of parent or percentage of all Some of the examples are shown as calculated columns, others as measures With measures, in particular, your results may differ from those shown in the screenshots, as there a few different incarnations of Northwind not always with the same data! 7 Aggregate Functions: Statistical Functions and SUM()/SUMX() Functions The aggregate functions include the Statistical functions and both SUM() and SUMXX() from the Math & Trig functions Such functions often result in numeric values The functions can be used equally well as calculated columns or as measures If used as calculated columns, they are often added to the Values drop-zone in the PowerPivot Field List and displayed in the central data area of a pivot table They are ideally suited for producing totals and subtotals In this chapter, the alphabetical order of the functions has not been observed completely For example, AVERAGEX() appears before AVERAGEA(), but after AVERAGE() this is to highlight the difference between a base column function, such as AVERAGE() and its table function equivalent, AVERAGEX() AVERAGEA(), another column function, then follows
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Prac tical PowerPivot & DAX Formulas for Excel 2010
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In general, the X-functions, for instance, AVERAGEX(), accept a table argument The base functions, like AVERAGE(), accept a column argument, and operate on numeric or date values The A-functions, for example, AVERAGEA(), also accept a column argument, but usually work on every value in a column, even text and blank values 8 Date & Time Functions 1/2: Date and Time Basic Functions For the purposes of clarity, the Date & Time functions in DAX have been divided into two chapters This is the first of those two chapters and deals with the more basic date and time functions The next chapter is devoted to a group of Date & Time functions that are often referred to as time intelligence functions The basic functions are often simpler and more forgiving The time intelligence functions usually require that you have put some thought into how your dates are stored in the PowerPivot model The emphasis in this chapter is on parsing, manipulating, and returning dates The basic functions generally return dates and times The time intelligence functions generally return measures or values associated with dates and times 9 Date & Time Functions 2/2: Time Intelligence Functions This is the second chapter dealing with DAX Date & Time functions The previous chapter discusses some of the basic Date and Time functions In this chapter, the emphasis is on the time intelligence Date and Time functions The time intelligence functions are primarily used to navigate dates In particular, they allow you to jump ahead or back in time and retrieve relevant data This is useful if you wish to compare your data across or between time periods Practical applications would include year-on-year changes They allow you to compare the present date, in your filter context, with past and future dates In addition, these functions can help you define ranges of dates or dates up to a particular date A practical application here might be year-to-date sales The basic functions generally return dates and times The time intelligence functions generally return measures or values associated with dates and times 10 Text Functions This chapter deals with text (or string) manipulation Most of the text functions are the same as their Excel function equivalents; however, they accept text or column parameters rather than worksheet cells or ranges Many of these text functions return text, and as such are usually more suitable for creating calculated columns in PowerPivot tables rather than measures text values can t be added together to give subtotals and totals in a pivot table (unless you do a COUNT()) Having said that, if the text value can be converted into a number (for example the string 123 ), then it may be used as an additive measure Usually, PowerPivot will implicitly do the conversion, but you can always do it explicitly with the VALUE() function Please note, the FORMAT() text function also operates against numbers as well as against text
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