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Pseudocharts and Window Charts
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ations . Aesthetically sophisticated harmony can t always be implemented, depending on the formatting of cell, number, and bars . Therefore, I prefer to display these bars in the adjacent cells . This produces considerable scope for various formatting effects, as shown in the example . This is achieved with a simple trick: the formulas in column G copy the values from column F on a one-to-one basis . Instead of in column F, the conditional formatting was implemented in column G using data bars . Then, you only need to hide the numbers in column G . This is achieved with the user-defined number format ;;; , which completely suppresses the display of values as explained earlier . The ranking in column H is implemented using the RANK function, which has already been mentioned in conjunction with the LARGE function . Naturally, another conditional formatting rule ensures the variable green coloring of the ranks 1 to 3 . Note Even if our brains resist this at first: instead of the higher ranks indicated by numbers, the lower ranks must be provided a visual alert when defining conditional formatting . The used embellishment is stored on the CD-ROM under \Materials\Pictures\StartingRange.tif . The image was turned, cut, and mirrored .
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The window chart in the Focus 2 worksheet provides much more information and is also better suited for the presentation that I ll describe in detail . Note The size and position of this chart are designed for use in the full screen view . If you frequently use this view this applies to some examples of this book that are explained later on you should place the respective symbol in the Quick Access Toolbar . The relevant procedure was described in conjunction with the Excel camera and explained in more detail in 1 .
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(From the full screen view, you can return to the normal view by pressing esc.)
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When I first created such a variant it can be used for nearly all types of charts I was looking for the appropriate name to describe its concept of presentation . Moving chart seemed accurate, but I liked the image conveyed by the selected term better . Like an open window, the plot area is (apparently) placed in front of a data series, which, in total, is considerably longer than the window is wide . Using controls, the user moves this data series behind the window, and the viewer sees an excerpt of the entire information (that is, 12 of 96 data points in this example) through the window . It is particularly important that the user can freely define which of the possible excerpts he or she wants to view and valuate .
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Dynamic Chart Formatting and Other Tricks
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Such a procedure is appropriate if long-term changes are essential but you also require summaries of details . If summaries are important to the presentation, such a window chart is practically a must-have . Due to the high optical aggregation, displaying the entire value chain of 96 data points, for example, would prevent the viewer from recognizing essential details .
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Figure 9-25 An eighth of the long sequence in the window, with the entire sequence below the window
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A so-called long sequence a statistical term used in this book is in most cases designed for viewing information about the past . This example, which has been slightly changed to a lightweight version, has the following background: the chart, which had been created with quite a great deal of effort, was used only once, namely, in a presentation for the home bank of an enterprise . There had been difficulties and investment initiatives . The historically considered period of eight years was a critical and sometimes turbulent phase in the history of the enterprise . Now, trust had to be reestablished in the long-term, security-oriented corporate policy . This was attempted with different data and visualizations, of which this chart was a part (at least according to the type) . You should obtain an overview yourself by using its controls, preferably the scroll bar . The main window of the chart displays 12 data points as a segment of an overall development . These data points visually present the number of sold products . The line with widely oscillating sections is linked to a horizontal, pale red average value constant . This illustrates that there has been a continual increase in value despite all movements over the years: note when and how the oscillating data series exceeds the average value . The position of the excerpt visible in the window is shown with a yellow bar moving across a long line at the bottom of the model . This small chart contains all 96 data points . It shows the complete actual
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