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It s quite possible that your source data does not include everything you want in a subsequent pivot report (table or chart) For example, you may wish to analyze and compare sales amounts by year Neither the sales amount nor the year exists in our source data It s also likely that it does not include the necessary degree of denormalization Denormalization is a process of reassembling data from a segmented and normalized transactional database to help in your BI analysis Here, you might want to analyze by both category name (that is, product categories) and product name at the same time Currently, the product name and the category name are in two separate tables (Products and Categories) If you were to have them both in one table, your pivot reports will display the correct data for example, the product Chai will appear under the Beverages category and not under the Seafood category If you are able to implement these and similar changes, you are creating business intelligence from often-unfriendly source data that may originate from many different sources PowerPivot makes this (and more) easy Not only does it centralize and assemble data, it helps you to transform that data into intelligence One powerful, yet straightforward, way to change your data into intelligence is to create new columns in your PowerPivot tables You are helped in this by the versatility of DAX formulas In the upcoming example, we are going to use DAX three times In this chapter, the DAX examples are to give you a taste and get you started (and possibly excited!) There are many more examples in 3, and a whole part of this book (Part II) is devoted to DAX Let s turn our data into real business intelligence by adding the sales amount, and the year an order was made, and by having product names and category names together If you are working along, you can use the PowerPivot tables imported from either Excel, Access, SQL Server, or a data feed (or a combination of two or more of these sources, if you ve been experimenting) PowerPivot makes the source data transparent To add business intelligence to PowerPivot using DAX:.

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Center of sphere is at (x0, y0, z0)

Refer to the appendixes for a detailed description of the data in the ISBSG Repository Go to wwwisbsgorg for information on how to submit projects for inclusion in the Repository For the estimating examples in this book, the functional size measure used is units of function points according to the IFPUG method (FP) Note that all of the IFPUG releases use the same units of measure: IFPUG function points At this printing, the most recent IFPUG release is IFPUG 43 (published in September 2009) For further information visit wwwifpugorg Both these approaches are covered in detail in 13 in this book

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When you come across a messy ordered triple like this, you might ask, Is there any way to make it look simpler Sometimes there is In this case, there isn t You can get rid of the grouping symbols if you re willing to use a calculator to approximate the values But even if you do that, you ll have to remember that in spherical coordinates, the first two values represent angles in radians, and the third value represents a linear distance

1 2

Here s a challenge!

Suppose we re given the coordinates of a point P in spherical three-space as P = (q,f,r) = (3p /4,p /4,31/2) Find the coordinates of P in cylindrical coordinates

Development, Enhancement, or Redevelopment (on a new platform) Functional size measurement In terms of quality, cost, schedule, and constraints (that is, priority of each) Note that cost, scope (functionality and quality), and time (effort) are the famous triple constraint of project management Mainframe, midrange, PC, or multiplatform Programming language or language level Similar project profile in terms of activities and deliverables from those activities (Phases and work activities included)

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Click on the tab for the Order Details table to make it current You ll see an empty column at the right of the table with the heading Add Column Click anywhere in this column and type the following DAX formula

We haven t learned any formulas for direct conversion between spherical and cylindrical coordinates, so we must convert to Cartesian coordinates first, and then to cylindrical coordinates from there The Cartesian x value is x = r sin f cos q = 31/2 sin (p /4) cos (3p /4) = 31/2 21/2/2 ( 21/2/2) = 31/2/2

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