窗体在数据透视图视图中打开。
在数据透视图中，GUI有以下6个主要区域。
In the data perspective, the GUI has six main sections or panes, as follows.
数据透视图表是为一个项目或者项目组合制定的。
A pivot table can be generated for a project or a portfolio of projects.
切换到EclipseIDE的数据透视图(如图5所示)。
Switch to Eclipse IDE's data perspective view (see Figure 5).
可以复制窗体的数据透视表视图和数据透视图视图的格式。
You can replicate the format of PivotTable and PivotChart views in a form.
您也可以通过工作项列表创建数据透视表和数据透视图报表。
You can also create PivotTable and PivotChart reports from a list of work items.
获取或设置一个值，该值指示数据透视图筛选窗格是否可见。
Gets or sets a value that indicates whether the PivotChart Filter Pane is visible.
获取或设置一个值，该值指示是否在指定的数据透视图报表上显示数据透视图控件。
Gets or sets a value that indicates whether the PivotChart controls are displayed on the specified PivotChart report.
下面的图2显示了数据透视图模式下RationalDataArchitect环境概览。
Figure 2, below, shows an overview of Rational data Architect's environment in the data perspective mode.
第一次打开RationalDataArchitect 时，它自动为数据透视图设置环境。
When you first open Rational Data Architect, it automatically sets its environment for a data perspective.
PortfolioManager也可以基于这些OLAP数据透视图表来产生报告，如图6所示。
Portfolio Manager can also generate reports based off these OLAP pivot tables, as shown in Figure 6.
本教程隶属于一个系列，该系列探索DataStudio数据透视图的众多特性，以及与它相关的视图、向导和编辑器。
This tutorial is part of a series that explores the many features of the data Studio data perspective and its associated views, wizards, and editors.
此报表基于一个数据透视图报表，该数据透视图报表显示最近四周内为任务捕获的数据以及存储在数据仓库中的数据。
This report is based on a PivotChart report that shows the last four weeks of data that is captured for Tasks and that is stored in the data warehouse.
透视图只是向您显示的性能数据的图或表。
A perspective is simply a chart or table of the performance data that you is displayed.
拓扑处理程序还提供了透视图和视图的数据模型，并将Eclipse活动关联到页面。
The topology handler also provides the data model for perspectives and views and associates Eclipse activities to the pages.
现在，您了解了我们如何创建基于Flex的并置表，希望您也尝试通过改变水平和垂直数据集来创建自己的定制透视图。
Now you have seen how we created our Flex-based juxtaposition table, and we hope you have had a chance to create your own custom perspectives by changing the horizontal and vertical data sets.
设计一个数据模型的第一步是创建一个简单的项目(叫MyDataModel)，并打开Data透视图。
The first step to design a data model is to create a simple project (say MyDataModel) and open the data Perspective. Once the data definition view is active.
在PerformanceDataInvestigator中编辑透视图是根据您的具体要求来分析性能数据的一种不错的方法。
The ability to edit perspectives in performance data Investigator is a great way to give you exactly what you need for analyzing performance data.
透视图打开的初始化视图中包括PluginDatasheet视图，这个视图将用JFacetext类textviewer来显示它的数据。
The perspective opened its initial views, including the Plugin Datasheet view, which USES the JFace Text class TextViewer to display its data.
如果您通过操作表数据定制了一个图表，那么可以将定制后的图表保存到您自己的自定义透视图集中。
If you have customized a chart by manipulating the table data, you have the ability to save that customized chart in your own personal set of customized perspectives.
我们也可以提供多个表，以从多个预定义的透视图中显示数据。
Alternatively, we could provide a number of tables which present the data from a variety of predefined perspectives.
如果已经这样做了，就打开Data透视图，建立一个数据库连接，并创建一个Data项目。
If you haven't already done so, open the data perspective, establish a database connection, and create a data project.
Linux透视图中的一个文件会分配到一个来自元数据服务器的inode number (ino)，对于文件这是一个唯一的标识符。
A file from the Linux perspective is assigned an inode number (ino) from the metadata server, which is a unique identifier for the file.
如果我们在JTable中显示数据，用户就可以更改水平和垂直的数据集，从而根据自己的信息需求选择定制的透视图。
If we present our data in the JTable, users can choose a custom perspective to suit their informational needs by changing the horizontal and vertical data sets.
通常，SOA的信息透视图只用于实现少量的数据库查询服务，并作为Web服务公开。
Often, the information perspective of SOA is limited to implementing a small number of services as database queries exposed as Web services.
或者，如果您手工切换到ProfileandLogging透视图，那么您可以使用 Profile and Logging 透视图中的默认统计视图来观察并分析数据。
Alternatively, if you manually switch to the Profile and Logging perspective, you can view and analyze the data using the default statistical view in the Profile and Logging perspective.
与用户的组织角色对应的透视图可以在WebUI 中定义，以提供服务元数据的自定义视图。
Perspectives corresponding to the user's organizational role can be defined in the Web UI to provide customized views of the service metadata.
TPTP提供了ProfilingandLogging透视图中的一组视图，因此您可以看到由这些数据代理收集的大量的并多样化的统计数据。
TPTP provides a group of views in the Profiling and Logging view, so you can see the large and varying statistical data that these agents collect.
对于报告功能，Zoho Reports提供诸如传统报告应用程序中可以找到的那些组件—图表、透视图表和数据表格视图。
For reporting, Zoho Reports provides components such as those found in traditional reporting applications-charts, pivot tables, and a tabular view of the data.
在GarbageCollection (GC)透视图中，HealthCenter展示了垃圾收集行为的曲线图，GC统计数据和一些建议(见图12)。
In the garbage collection perspective, Health Center shows graphs of garbage collection activity, GC statistics, and recommendations (Figure 12).
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