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3. Select the percentage columns by clicking on a Revenue column and then pressing the up or down arrow key to select the Percentage column. 4. Move the Percentage column to a secondary axis by right-clicking on the Percentage columns and choosing Format Data Series. In the Format Data Series dialog box, in Series Options, select Secondary Axis and then OK. At this point, the chart may look confusing. It should look like a stacked column chart with two axis. 5. Change the Percentage segment into a line with markers. Right-click on the Percentage column segment and choose Change Series Chart Type. Select the line with markers and choose OK. Your chart should now look like a Pareto chart without the 80% horizontal line. To add the 80% line, copy F7:F16 and paste it into the chart. Your chart will now appear almost like the Pareto chart in Figure 24.14. All that remains is a little formatting. Pareto charts depend upon the data being sorted in descending order. If you are doing a query from an external data source through MS Query or from a SQL generated file you can request that the data be returned in descending sort order. If you are retrieving unsorted data from an internal Excel worksheet, then use the autosorting formulas techniques described in the section Sorting Lists by Formula in 18, Working with Lists and Tables of Data.

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To use zxing, you just need to create a BufferedImage in your Java program from the PDF. That's a separate question, but should be possible ...

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In many ways this category is both the most familiar and the most extensive, in that a signi cant portion of early cloud deployments were in this category. Whether it was search and e-mail by Google; e-mail and instant messaging by Yahoo, Google, and Microsoft; social networks such as LinkedIn, Facebook, and Twitter; customer management by Salesforce, and others; commerce from Amazon; content delivery from YouTube or any of dozens or hundreds of other examples any reader of this book, and for that matter a very high percentage of the general population has personal experience with vendors in this space. The reason for this is simple making an application available over the Internet implies a commitment to providing web-scale, which in turn is an implicit commitment to cloud. It is that desire for or fear of scale that drove many of these vendors to initially develop and embrace cloud computing principles throughout the stack. This category generally includes those who best understand these principles, and as a consequence best exhibit cloud characteristics such as scale, elasticity, and so forth.

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You need to consider how the new data will affect existing data in the worksheet. If the number of rows in the data range changes upon refresh, your options are

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The dates in this chapter correspond to the U.S. English language date format: month/day/year. For example, the date 3/1/1952 refers to March 1, 1952, not January 3, 1952. I realize that this setup may seem illogical, but that s the way Americans have been trained. I trust that the non-American readers of this book can make the adjustment. n

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Several system variables affect the 3D display only when you use the HIDE command or the 3D Hidden visual style. These system variables work on both solids and surfaces. Type hlsettings at the command prompt to open the Hidden Line Settings dialog box (AutoCAD LT) or Visual Styles Manager palette (AutoCAD), as shown in Figure 21.13. Note that I cover the Visual Styles Manager for other settings in 22. FIGURE 21.13

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Sub MyRoutine() declare variables ... On Error GoTo ErrorHandler rest of procedure goes here Exit Sub Tells subroutine to exit ignoring the ErrorHandler statements ErrorHandler: MsgBox Error & Err.Number & & Err.Description Resume Next End Sub

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class of quasi-birth-death models, as described in 8. A state-level characterisation of such models is, however, cumbersome for practical applications. We therefore define a class of SPNs which has an underlying iSPNs. In Figure 17.1 we present the GMTF ( as introduced in 1) applied to iSPNs. The sections that follow are devoted to the specific parts indicated in this figure. Definitions and terminology for iSPNs are given in Section 17.2. The solution of the underlying QBD, starting from the block matrices Ai and Bij , and yielding the matrix R and the probability vectors gi is discussed in Section 17.3 (this section depends strongly on 8). The transformation process from the SPN description to the QBD structure and the enhancement of the steady-state probability vectors to reward-based performance measures CTMC which is a QBD; these SPNs are denoted

Equation (7.44) provides the fundamental relationship 8 = 8(b,P ) for a given interaction potential. If this relationship is inverted, then (7.34) gives the differentialcross section in terms of b(8, P).

(5.3)

(2.56)

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