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Pseudocharts and Window Charts
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data and is thus particularly well suited for comparisons between the entire chart and the details of the excerpt . The excerpt of the chart shown in Figure 9-25 illustrates a particularly critical point in the talks with the bank: in the summer of 2005, some important personnel decisions were made and, since December 2005, things have improved . The overall development, which is particularly well demonstrated in the mini chart, has become steadier and increased slowly but continuously . This description of the background should suffice for now . However, it is essential to mention that the high degree of flexibility of this presentation and its impressive design had a positive effect on the atmosphere and result of the talks . This is reason enough to consider the effort for creating such a model worthwhile . Another key aspect: if you can impress the partners who use Excel themselves (as was the case here) with an Excel solution that convinces them by mere technology and design ( You really did that with Excel Yes, and I did it without programming! ), you re almost halfway there . Let s now take a look at the technical aspects of this solution . Unprotect the sheet and analyze the attributes or formats of the model s elements . Here are some key points with reference to the window chart:
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The value axis has a fixed scaling so that the long-term average value (the horizontal data series) always remains at the same position and is slowly but continuously exceeded when the chart is moved forward . Based on the font size and the limited space, the category axis label is automatically wrapped to the next line; that is, though it is created in one line, it is displayed in two lines . Therefore, the month is placed before the year, which fulfills an essential basic rule for axis labels: wherever possible, detailed labels must be closer to graphical data series than group labels . The position of the category axis label was optically synchronized with the position of the controls by defining a label distance of 300 . The plot area of the chart is completely transparent . Table formatting is responsible for the colored separation of the columns as illustrated in the figure . When creating the chart that is, in the final phase of the design work you must ensure that the column limits of the table and the (later invisible) vertical gridlines of the chart correspond to each other . To achieve this easily, you must select Don't move or size with cells for the chart . Then, while the chart is fixed, you can reduce or increase the width of the table columns behind the chart .
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The following applies to the mini chart at the bottom of the model:
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The two data series of this line chart are derived from Data 1, L12:M107 . The moving bar is not a bar but a partly transparent average value line of the 12 data points that are currently not set to #N/A in their data source (Data 1, M12:M107) . The weight of the moving bar is 10 pt . Its cap type is defined as a Square; find out how it would look like using the Round option .
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Dynamic Chart Formatting and Other Tricks
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Except for its two lines, the chart has no other visible elements . They were removed or hidden via the formatting .
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Automatic Sorting of Chart Content
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In a lot of chart content, the graphic quality of the chart changes considerably when the data series elements are sorted in different ways in order to make the content easier to understand or to change the point of view (however we may interpret this term) . This can be done relatively easily for your own visual information by sorting the data source . Of course, you can t do that in a presentation, which means you need an efficient and safe way to sort your information without having to exit the chart . In most cases, you do not need programming, which shouldn t surprise you by now . I ll introduce two procedures that you can use to automatically sort your tabular chart basis:
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You deploy controls to use a sort sequence that was previously specified as a numerical series for a table with constant data . You use formulas to repeatedly generate a sorted table from a variable table with unsorted data without further action .
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