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Data visualizations are designed as an alternative way to view data and should offer insight at a high level more quickly than a data grid can. If designed properly, visualizations can complement lists and grids elegantly. This is the main reason why visualizations are so popular in dashboard scenarios. To gauge the difference between a data grid and a data visualization, look at Figure 5-3. This figure displays some fictitious data about company expenses. The top image is a pie chart visualization of the data. The bottom image is a data grid representation of the same data. Imagine that you are an executive tasked with cutting costs. If the chart was displayed, you would immediately be drawn to the red area of the pie chart. Clearly, it is the biggest expense relative to the others. The visualization immediately draws your eyes to the largest slice of the pie. Conversely, the data grid requires you to scan all of the items. Furthermore, you don t understand the scale of each item until you take a second to think about it. You could sort the data grid and get an ordered list of expenses. However, this is an additional interaction with the data that is unnecessary with the pie chart.

The Gantt view is a combination of the Datasheet view and a graphical date-driven view. The Gantt view displays list items just like the Datasheet view and has the same settings: Sort, Filter, Group By, Total, Style, Folder, and Item Limits. The unique aspect of the Gantt view is that, in addition to this datasheet list item display, it also shows a Gantt chart of the list items. A Gantt chart is a horizontal bar chart showing a schedule of events including a start date, a finish date, and milestones. It is usually used to visualize a project plan or schedule of tasks. The Gantt chart is

Spring offers a powerful IoC container to manage the beans that make up an application. To utilize the container services, you have to configure your beans to run in the Spring IoC container.

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Good data visualization provides quicker insight into data without having to perform additional analysis or data interactions.

You can configure your beans in the Spring IoC container through XML files, properties files, annotations, or even APIs.

configured in the view using an additional set of options called Gantt Columns available on the Create View and Edit View pages. The columns needed to properly create the Gantt chart are: Title: Required text column Start Date: Required date column Due Date: Required date column Percent Complete: Optional number column Predecessors: Optional lookup column to the current list

Spring allows you to configure your beans in one or more bean configuration files. For a simple application, you can just centralize your beans in a single configuration file. But for a large application with a lot of beans, you should separate them in multiple configuration files according to their functionalities (e.g., controllers, DAO, and JMS). One useful division is by the architectural layer that a given context services.

Figure 5-3. Which one allows you to more quickly gauge the biggest expense: the chart or the data grid

Remember, you do not need columns with these exact names in your list. You only need to be able to specify in the view which of your list columns will contain the data to use for this information. Figure 4-14 shows a Gantt view of project tasks.

Suppose that you are going to develop an application for generating sequence numbers. In this application, there may be many series of sequence numbers to generate for different purposes. Each one of them will have its own prefix, suffix, and initial value. So you have to create and maintain multiple generator instances in your application.

Data visualizations displayed using advanced rendering engines (e.g., Silverlight, WPF) can use animations to provide additional clues about the data to the user. Figure 5-4 shows an example of an elegant interface used in a data visualization. This example is a screenshot from Roambi s (www.roambi.com) dynamic visualization application for the iPhone. The Roambi for iPhone application presents your custom data using its dynamic rendering engine. When you click a slice of the pie, the pie chart animates and the slice circles around to the details pointer displaying the numerically formatted data. The animation transition is very well implemented in the pie chart as an extension of the data visualization. First, the transition animation signifies that something is happening with the state of the display. This prompts the eyes of the user to focus on the detailed information.

In accordance with the requirements, you create the SequenceGenerator class that has three properties prefix, suffix, and initial that can be injected via setter methods or a constructor. The private field counter is for storing the current numeric value of this generator. Each time you call the getSequence() method on a generator instance, you will get the last sequence number with the prefix and suffix joined. You declare this method as synchronized to make it thread-safe. package com.apress.springrecipes.sequence; public class SequenceGenerator { private private private private String prefix; String suffix; int initial; int counter;

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