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Compiling and Running the Mini Web Browser
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You must compile and run MiniBrowser with a JDK other than 1.4.0. For example, JDK 1.4.2 works fine. Compiling with JDK 1.4.0 causes JEditorPane to exhibit erroneous behavior that prevents many Web sites from working with MiniBrowser.
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Using Mini Browser is similar to using a full-featured browser. First, enter the URL of the page you want to view and then click the Go button. This will load the specified page in the browser. After visiting more than one page with Mini Browser, you ll notice that the Back and Forward buttons become enabled. Each of the buttons is independently enabled based on which page is being displayed in the browser relative to the current page s position in the page list. To go back to the previous page viewed, click the Back button. To go forward to the page viewed after the current page, click the Forward button. Figure 7-2 shows Mini Browser in action.
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Figure 7-2
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Mini Browser in action
HTML Renderer Possibilities
The ease with which HTML can be handled by JEditorPane opens the door to a number of interesting possibilities. As mentioned at the start of this chapter, representing Help information as HTML is especially useful. Online user documentation is also a good candidate for representation in HTML. For example, you might use HTML to display a tutorial that shows novices how to use an application that you created. Both the Help information and the tutorial can be displayed via JEditorPane. Here is one other idea. Try using HTML for error messages. The message could contain hyperlinks to further information.
CHAPTER
Statistics, Graphing, and Java
by Herb Schildt
The Art of Java
main use of Java is to create small programs, such as applets or servlets, that process and display data. This data is often in the form of numeric values, such as stock prices, daily temperatures, customer traffic, and so on. It is frequently desirable to obtain and display various statistics relating to this data and to plot the data in a graphic form. For example, an applet might display the average price of a share of stock over the past month and plot the share prices using a bar graph. Because statistics and graphing in one form or another are so often required in Java programming, they are the subject of this chapter. This chapter develops methods that find the following statistics: Mean Median Mode Standard deviation Regression equation (the line of best fit) Coefficient of correlation The chapter also develops graphing methods that display the data in a bar graph or scatter graph. The examples found here can be used as is or tailored to fit your own specific needs. This chapter also utilizes two important aspects of Java: its mathematical processing abilities and its GUI-based graphics abilities. Mathematical computation is not something for which Java was optimized, but it is an area for which Java provides extensive support. Although none of the computations in this chapter are very demanding, they still illustrate the ease with which Java handles number crunching. Java was, however, designed from the start for GUI-based applications. Java provides a rich assortment of classes that support a window-based interface. As you probably know, Java supports GUIs in two ways: with the Abstract Window Toolkit (AWT) and with Swing. Because Swing is featured prominently in preceding chapters, the AWT is used here. You will see how the AWT can be used to create stand-alone windows and handle resizing, repainting, and other events. Because of features unique to Java, such as inner classes and adaptor classes, GUI-based code in Java is cleaner and smaller than similar code produced by other languages.
Samples, Populations, Distributions, and Variables
Before beginning, it is necessary to define a few key terms and concepts relating to statistics. Generally, statistical information is derived by taking a sample of specific data points and then making generalizations from them. Each sample comes from the universe of all possible outcomes for the situation under study, which is called the population. For example, you might measure the output of a box factory over the course of one year by generalizing from the Wednesday output figures. In this case, the sample would consist of a year s worth of Wednesday figures. If the sample is exhaustive, then it equals the population. In the case of the box factory, if the sample included every day s output for a year, then the sample would equal the population.
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