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Several data set classes use a Java Database Connectivity (JDBC) connection to retrieve data for the chart. The first step is to create a SQL query that will provide the result set you need out of your database. The JDBCCategoryDataset, JDBCPieDataset, and JDBCXYDataset classes in the org.jfree.data package all have specific requirements for the JDBC result set. For the JDBC pie data set, the result set should contain two columns. The first column should contain the labels for the pie slices, and the column s data type must be VARCHAR. The other column contains the values for the pie chart. The JDBC data set classes can access the database with a portlet-supplied JDBC java.sql.Connection object, or they can create the connection with the JDBC URL, JDBC driver name, and a database user s username and password.

Use the event s time zone: If it is an event that you want to attend (in the place that it is happening), this is the most logical setting. Since you will attend the event in person, you will naturally be in the same time zone as the event. Use the user s time zone: Let s say the concert is also being broadcast by radio or webcast. Now you will definitely want to see the time of the concert adjusted to the time zone you are in, thus making this setting the better choice. Use the sitewide time zone: This is probably not the best setting for most cases. The Time Notation Preference field determines whether times will be displayed in 12- or 24-hour notation.

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JFreeChart will accept XML in its own format as the data source for the category and pie data sets. The org.jfree.data.xml.DatasetReader class provides helper methods for loading data sets from XML files or input streams. The JFreeChart code to parse XML into a data set is not very complicated, so it should be easy to add support for other data set types or XML formats. The XML format used for category data sets and pie data sets mirrors the CategoryDataset and PieDataset objects. Here is an XML data source that demonstrates the structure for the PieDataset:

The Event module defines a block that shows upcoming events. You can enable this block from the block administration page (admin/blocks). On the Event module configuration page, the Upcoming Event Block Limit setting allows you to control how many events will be displayed in the block.

It s important to make sure the test fails before the implementation has been written. Otherwise, from a psychological perspective, there would be no difference between writing the test and writing a correct implementation. In other words, a test that only succeeds if the implementation is correct is a reward for the developer.

< xml version="1.0" encoding="UTF-8" > <PieDataset> <Item> <Key>Winter</Key> <Value>110</Value> </Item> <Item> <Key>Spring</Key> <Value>180</Value> </Item> <Item> <Key>Summer</Key> <Value>220</Value> </Item> <Item> <Key>Fall</Key> <Value>175</Value> </Item> </PieDataset>

You can activate and configure these blocks by navigating to administer blocks (admin/blocks). See 2 for details about administering blocks.

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The events calendar has five different views: day, week, month, table, and list. Use the Default Overview field to select which of these views should be the default calendar view. If you choose Table, you can also use the Table View Default Period setting to specify how many days are to be shown. When looking at the overview of events on a calendar view, it is possible to filter the display based on node type and taxonomy category. The queries for these filters are built by constructing special URLs, as described next. The Taxonomy Filter Controls field sets the display of this filter: Never show taxonomy filter control: This allows you to hide the taxonomy filter control. Only show taxonomy filter control when taxonomy filter view is requested: This shows the filter control only when a taxonomy query is built into the URL query. Show taxonomy filter control on calendar views: This shows the filter control by default. The same three options can also be applied to the Content Type Filter Controls field, which lets you filter the calendar view by node type.

Refactor: The final step is the refactoring step. This step involves improving the code that actually passed the test. Because you know the code already fulfills the contract, you can refactor here with confidence. The tests are then rerun and observed. Refactoring can happen at any time. It does not need to happen immediately after the first implementation is written, although developers may be more focused at that time. Repeat: After completing the refactor step, the cycle will then repeat, starting with either adding functionality or fixing any errors.

<CategoryDataset>, and the children of the root element are <Series> XML elements. The <Series> elements contain one more <Item> element. For an example, see the

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