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On the Companion CD Open the file \Samples\ 0902_Scale01.xlsx on the CD-ROM . Open the Scale 1 worksheet (excerpts are shown in Figure 9-8) in the 0902_Scale01.xlsx file . Each time you press F9, the red scale pointers in the green bars move to a different position and indicate the percentage of a default value (which is not of interest here) that has been reached in the respective city . In a vertical examination of the figure, the relevant differences are immediately obvious . Horizontal scales with fixed widths of 100 and a moving pointer are well suited for many presentation purposes, particularly if you want to represent a comparative visualization of approaches to a set value, as is the case in our example . However, there is hardly a better solution for result statistics on surveys (to which extent are the facts accepted ), measurements (how many of the planned tasks have been successfully completed ), and many other things .

This holds particularly true for comparisons across several categories, that is, for several similar scales . You can measure and test the following: a model that is designed like the example and also uses the same colors is probably initially automatically read from top to bottom, following the red thread . When you take a second look, for example horizontally from left to right, following a specific interest where is our result the eye catches the line-specific red mark, measures its distance to the right how far are we from the maximum and then explores the close proximity and the further vertical proximity are the others better or worse If you measure the reception speed of such processes and compare them with adjacent tachometer charts, for example, it becomes quickly obvious why the consequent effort for simplicity should always be held in high esteem .

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Let s now take a closer look at the design details of the chart, with reference to Figure 9-8 . In the adjacent worksheet, RawVersion 1, an open format is used for the same model . You can also follow the information there, as it provides a better overview . Naturally, in a real-life report model of this kind, there are fixed value constellations . The dynamics of such solutions would be, for example, that you use controls to call different survey topics and their results . However, in this example, this option is simulated with F9 for testing purposes . Additionally, you can customize the initial situation and the value constellations in the chart data source as you like . You should note:

DOM The other mode of XML parsing is to use the Document Object Model (DOM) instead of SAX. In the DOM model, the parser will read in an entire XML data source and construct a treelike representation of it in memory. Under DOM, a pointer to the entire document is returned to the calling application. The application can then manipulate the document, rearranging nodes, adding and deleting content as needed. The use of DOM is depicted in figure 2.3. While DOM is generally easier to implement, it is far slower and more resource intensive than SAX. DOM can be used effectively with smaller XML data structures in situations when speed is not of paramount importance to the application. There are some DOM-derivative technologies that permit the use of DOM with large XML documents, which we discuss further in chapter 3. As you will see in section 2.2, the JAXP API enables the use of either DOM or SAX for parsing XML documents in a parser-independent manner. Deciding which method to use depends on your application s requirements for speed, data manipulation, and the size of the documents upon which it operates.

It is a 100% Stacked Bar chart . A specific portion of a default value (specified in column G) is reached . This result is displayed with a red mark in percentages . The chart has three data series, each stacked bar consists of three segments:

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