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Figure 6-48 shows 106% and -57% This means that 106% of the total gross profit is above the line and -57% is below the line The numbers don t exactly get back to 100% because so many of the points cut the line that it s hard to make it exact However, if the user begins dragging this slider upwards, the 106% value starts to dwindle rapidly As the slider climbs, fewer dots appear above it, representing those products that had a higher gross profit Likewise, moving the top slider to the right narrows down the products that contribute to the gross profit margin The ideal scenario would be to have as many products as possible in the upper righthand corner of the perspective, but this is rarely the case Figure 6-48 shows that the products with the highest gross profit margins tend to have smaller gross profits, which means they simply don t generate as much revenue as items with lower margin For example, some of the highest margin items include bike stands and tire tubes, which do not generate anywhere near the same gross profits as a very expensive mountain bike Many of the dots tend to cluster together, forming a jumbled mess If the user wants to see a cluttered area of the chart better, she can right-click in that area and then choose Zoom to zoom in on it Right-clicking after zooming in will now present a Zoom Out option In addition, a user can click and drag on the background to draw a rubber band around a certain area Then, upon releasing the mouse, a menu will pop up with two options: Zoom and Show Only This only works if the user clicks and drags from the upper left to the lower right Other directions will draw the rubber band but not display the menu In order to provide even more information, it s possible to make the dots more useful For example, are most of the high-margin items in the Accessories category Are they in clothing, or bikes, or some other category Fortunately, there s a way to change the color and shape of the dots to represent values at other levels of the hierarchy Right-clicking in an empty area of the perspective chart will show a menu with an option named Data Point Attributes This will show a dialog box in which the user can select a member of a hierarchy and make any dots that belong to that member have a specific color and shape In this case, the dots represent individual products Custom data point attributes could be placed at either of the two levels above product, in this case the category or subcategory Because there are so many subcategories, this example will choose just the four categories of Accessories, Bikes, Clothing, and Components The user selects one of the categories and assigns a color and a shape to it and then clicks the Add button Figure 6-49 shows what the Data Point Attributes dialog box might look like when the user is done Clicking the OK button returns the user to the perspective chart.

Part III:

Be sure to check the Properties for the Chart Page Layout, Avoid Page Break In Chart, if your report will have multiple charts and tables You would think this would be the default, but it s not! Also, if you add a chart to an existing report that also contains a table, set the relative positioning as described earlier to ensure that as the number of rows in your table expands or increases, the chart placement moves with it

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Extract and Override is great for simulating inputs into your code under test, but it s cumbersome when you want to verify interactions that are coming out of the code under test into your dependency. For example, it s great if your test code calls a web service and gets a return value, and you d like to simulate your own return value. But it gets bad quickly if you want to test that your code calls out to the web service correctly. That requires lots of manual coding, and mock frameworks are better suited for such tasks (as you ll see in the next chapter). Extract and Override is good if you d like to simulate return values or simulate whole interfaces as return values, but not for checking interactions between objects. I use this technique a lot when I need to simulate inputs into my code under test, because it helps keep the changes to the semantics of the code base (new interfaces, constructors, and so on) a little more manageable. You need to make fewer of them to get the code into a testable state. The only times I don t use this technique is when the code base clearly shows that there s a path already laid out for me: there s already an interface ready to be faked or there s already a place where a seam can be injected. When these things don t exist, and the class itself isn t sealed (or can be made nonsealed without too much resentment from your peers), I check out this technique first, and only after that move on to more complicated options.

You can view the layout of your report as it will appear in print form by selecting View Page Layout from the Report toolbar You set a number of layout options via the Properties tab such as the paper size and the report orientation (landscape or portrait) The Page Layout options appear, though, only when you have selected the entire report and not an individual report component (cell, table, or chart)

To modify the Page Layout options, 1 Ensure you are not in Page Layout view This button acts as a toggle, so if necessary, select View Page Layout from the Report toolbar to toggle back to Draft mode 2 Then click anywhere on the margin so that a gray box appears around the entire report page (not around an individual block) 3 Select the Properties tab

Figure 6-49 The Data Point Attributes dialog box allows users to assign colors and shapes to various dimension members

There are many variations on the preceding simple techniques to introduce seams into source code. For example, instead of adding a parameter to a constructor, you can add it directly to the method under test. Instead of sending in an interface, you could send a base class, and so on. Each variation has its own strengths and weaknesses.

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