图1显示了用这种方法分析和分类问题的途径。
Figure 1 shows an approach for analyzing and classifying problems in this way.
仪表板(图1)可同时在各个实例级别和聚合级别显示数据，提供复杂的多维分析。
The dashboards (Figure 1) can display data at both the individual instance level and the aggregate level, and offer sophisticated dimensional analysis.
应用程序分析该信息，然后将其显示给用户(图2)。
The application parses the information and displays it to the user (Figure 2).
应用程序分析该信息，然后将其显示给用户(图1)。
The application parses the information and displays it to the user (Figure 1).
图7还显示了实时分析引擎和数据库中的历史数据之间的双向连接。
Figure 7 also shows a two-way connection between the real-time analysis engine and the historical data in the databases.
图1显示一个包含用于已命名实体识别、语法分析和关系探测的注释器的分析引擎。
Figure 1 shows an analysis engine containing annotators for named entity recognition, grammatical parsing, and relationship detection.
图53中的原有流程分析清楚地显示了由于资源短缺而导致工作延迟。
The analysis of the As-Is process in Figure 53 clearly shows that the work is backing up due to a shortage of resources.
图13显示了指向WebSphereMemorySessionContext对象的内存泄漏分析可疑点。
Figure 13 shows a memory leak analysis suspect pointing at the WebSphere MemorySessionContext object.
在图2中对来自MyClass(清单1中显示的示例代码)的一对堆转储的比较分析显示了以下泄漏可疑点。
A comparative analysis of a pair of heap dumps from MyClass (example code shown in Listing 1) shows the following leak suspects in Figure 2.
Rational Purify的分析结果在图9 中被显示。
在第4步(图10)中，您必须决定是否在HeatMapManager上显示分析。
In Step 4 (Figure 10), you must decide whether you want to show the analytic on the Heat Map Manager or not.
事务分析——详细显示事务概览图(Transaction Profile)和统计数据。
Transactional analysis - detailed visibility into transaction profiles and statistics.
动态分析-流程对比分析-流程成本对比——这一报告(图52)显示了流程的将来版本的成本要低得多。
Dynamic Analysis - process Comparison Analysis - process cost Comparison. This report (Figure 52) shows a much lower cost for the To-Be version of the process.
在第3步(图8)中，选择一种颜色或者一个图标，以显示分析结果。
In Step 3 (Figure 8), select a color or an icon to display for the analytic.
图3显示语法分析器在读取文档时如何生成事件。
Figure 3 shows how the parser generates events as it reads the document.
默认值分别是 15%和 10%，在我前面介绍的，图7 中所显示的分析配置中，二者都是可配置的。
The defaults are 15% and 10% respectively, but are both configureable in the analysis configuration that I described earlier and illustrated in Figure 7.
PMAT工具可以自动地执行分析工作，并在一个新的窗口中显示执行结果(图13)。
The PMAT tool automatically performs its analysis and displays the results in a new window (Figure 13).
图11显示了用于概要分析的主要类和方法。
显示内存泄漏疑点的分析结构显示在图2、图3和图4中。
The analysis results showing the memory leak suspects are shown in Figures 2, 3, and 4.
图2显示了一个示例CBM工作产品，其中突出显示了标识为需要进行持续分析和设计的区域的组件。
An example CBM work product might resemble Figure 2, with the highlighted components identified as areas for ongoing analysis and design.
图2显示了这些信息建模活动与SOA分析和设计过程中其他一些重要活动之间的主要集成点和依赖关系。
Figure 2 shows some of the main integration points and dependencies between these information modeling activities and some of the other important activities in the SOA analysis and design process.
图7所示为启动P WH数据的ROT分析后所显示的示例ROT结果矩阵。
Figure 7 shows a sample ROT result matrix that is displayed after you have started ROT analysis on the PWH data.
图3显示了服务分析模型的一个例子。
图8中的Suspects选项卡显示了从涉及无限循环的内存泄漏案例中获取的两个堆转储的分析结果。
Figure 8 shows the Suspects TAB from the analysis result of two heap dumps taken from a memory leak case involving an infinite loop.
图6显示了如何使用Hadoop来分析数据，以提供关于结构化和非结构化数据的分析。
Figure 6 shows Hadoop used for historical data analysis to provide analytics on structured and unstructured data.
模拟分析法还会为绝大多数模型元素产生Kiviat 图，如图 1中所显示的那样。
Model analysis will also generate Kiviat diagrams for most model elements, such as shown in Figure 2.
图3显示了仅自动分析清单1中示例的主要堆转储时Suspects选项卡的结果。
Figure 3 shows the results of the Suspects TAB when the primary heap dump from the example in Listing 1 is analyzed just by itself.
图2显示了YSlow性能分析的结果。
Figure 2 shows the results of the YSlow performance analysis.
图2显示了workbench中的MDD4J在启动并完成分析后的状态。
Figure 2 shows MDD4J in the workbench after it has been launched and has completed an analysis.
以下图表（图3）是在WebSphereBusinessModeler 中创建的，显示了自上而下场景中业务分析师和数据建模师之间的交互
The following diagram ( Figure 3), created in WebSphere Business Modeler, shows the interaction between business analyst and data modeler in the top-down scenario
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