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Estimating using analogy utilizes the following approach to estimate project work effort and duration using data from the ISBSG Repository: 1 Determine the target project s value for each of the project attributes recorded in the ISBSG Repository6 2 Attempt to select a project analog from the ISBSG Repository that has the same attribute values as the target project Ideally, this step will identify a single project analog In reality, however, this is often not the case If there is no single project analog in the repository, then it will be necessary to eliminate one or more of the recorded project attributes from the matching set until an analog can be found Careful judgment needs to be exercised to determine which attributes should be eliminated from the matching set to ensure that those that have the most impact on the project work effort or duration are not eliminated Another problem associated with selectively eliminating project attributes is that different subsets of matching attributes may identify different project analogs Once again, careful judgment must be exercised to determine which subset of attributes is the most significant and hence, which analog should be selected If matching all the project attributes identifies more than one project analog, then the estimator has the choice of either

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Suppose we have a point S in Cartesian two-space that is represented by the ordered pair (xs,ys) We can write this as S = (xs,ys) What s the straight-line distance ds between S and the coordinate origin What s the minimum possible distance between S and the origin Can the distance be negative What s the maximum possible distance

Answer 1-6

Press enter to accept the DAX formula (to back out at any time as you enter DAX, press esc) The single quotes are optional Rename the column to Category by double-clicking, typing the new name, and pressing enter Hopefully, you are looking at something like Figure 2-29 All of the three DAX formulas here are known as calculated columns

The complete ISBSG project data is available on the ISBSG Estimating, Benchmarking & Research Suite that can be licensed from wwwisbsgorg or from ISBSG member organizations

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Mar 6, 2019 · .NET OCR Library API for Text Recognition from Images in C# & VB.NET.​ ... .NET Convert PDF to Image in Windows and Web Applications.​ ... C# convert PDF to image library; How to convert PDF to JPG/JPEG/Tiff/PNG/BMP/GIF images in .NET.

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Jan 20, 2015 · Insert an Image Into a PDF in C# Open Visual Studio. "File" -> "New" -> "Project...". Select C# Language then select Console Application and name it “InsertImageToPDF”. Click OK. Insert the following code for inserting an image into the PDF. private static void InsertImageIntoPDF() The following code encrypts the PDF ...

We can find the distance using the formula that we derived from the Pythagorean theorem in geometry In this situation, the formula is ds = (xs2 + ys2)1/2 The minimum possible distance between S and the origin is zero, which occurs if and only if xs = 0 and ys = 0, so that S = (xs,ys) = (0,0) We can never have a negative distance There is no maximum possible distance between S and the origin We can make it as large as we want by making xs or ys (or both) huge positively or huge negatively

Question 1-7

If you are from a business intelligence background and are familiar with SSAS, be aware that you have created a star schema and a cube in a few minutes! In fact, this is an SSAS cube although SSAS is nowhere to be seen There is a hidden copy of SSAS running behind PowerPivot even without you having to install SSAS (the hidden copy is installed automatically when you install PowerPivot for Excel) If you are completely new to business intelligence, you have just accomplished something that normally (before PowerPivot) might take days Cool

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Imagine two points in Cartesian two-space, called S and T, such that S = (xs,ys) and T = (xt,yt) What s the straight-line distance dst going from S to T What s the straight-line distance dts going from T to S Does it make any difference which way we go

13:

Answer 1-7

It would be nice to see your new cube as a cube we are still looking at our data as separate tables; PowerPivot enables us to do much better One of the best ways to visualize business intelligence is through a pivot report, which can be a pivot table or a pivot chart (or multiple pivot tables and pivot charts) The pivot table uses MultiDimensional eXpressions (MDX) and the Excel CUBE() functions to extract the data from the hidden, in-memory PowerPivot SSAS cube Pivot reports incorporate a vast range of functionality There is a separate chapter later ( 5) just on pivot tables and charts In this overview chapter we are going to create a simple (yet quite powerful) pivot table just as a starter To create a pivot table from PowerPivot tables:

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