As Greystripe's founder and CEO Michael Chang told us last week, this data shows how the iPhone has become a tool for everyday life for this demographic.
Greystripe创始人兼CEOMichaelChang上周告诉我们，这些数据表明iPhone已经成为妈妈的日常工具。
So, while this data shows a definite increase in mobile account opening volume, there isn't enough information available to show the impact on drop off rates.
所以，虽然数据显示移动设备账户注册的数量迅速增长，但是没有充分的信息表明其对下降率的影响。
In terms of its overall audience, Bing is also still small compared to Google, but this data shows that users might be more willing to explore alternatives than we used to think.
从总用户量来说，Bing仍然少于Google (link)，但此数据表明，用户比我们想象中要更加乐意尝试其他的搜索引擎。
The experiments on this data shows that URL based method can achieve comparative precision as classifiers based on text-expanded queries, but improve the efficiency significantly.
实验表明，基于UR L类别的查询分类器可以获得与基于文本扩展的分类器相当的准确率，却较大地提高了查询分类的效率。
Data project explorer: This pane shows all the projects you have under the same workspace and their objects in a hierarchical structure.
数据项目浏览器：该面板显示同一个工作区中的所有项目，以及它们的对象层次结构。
This shows the inside of the system under test, because the data collection mechanisms are on the systems under test, not the load drivers.
这将显示出系统在测试时的内部情况，因为数据收集机制是在系统测试下进行的，而不是负载驱动的。
Listing 6 shows how you can create a linear chart that displays this data.
清单6显示了您如何创建显示此数据的线性图表。
In fact, the second article in this series shows R5 data on mid-range clustered servers.
事实上，本系列的第二篇文章显示了中级集群服务器的R5数据。
This SA shows how you can mix enterprise data and user-defined data to increase employee collaboration.
这个SA表明了如何能够混合企业数据和用户定义的数据来加强员工协作。
This approach lets you pass data as argument values to the call, as Listing 3 shows.
这种方法允许您将数据作为参数值传递给构造函数调用，如清单 3 所示。
This data is important because it shows which new tests should be written to test those areas of the kernel, leading to a kernel that is more thoroughly tested.
这个数据是重要的，因为它指出了需要再编写哪些新测试来测试内核的那些部分，以使内核可以得到更完备的测试。
This shows you how to create a basic data table that will display a list of all mortgage rates.
这将向您展示如何创建显示所有抵押比率的清单的基本数据表格。
This panel shows the exact SQL statement PDI will use to retrieve data from the performance data selected.
该面板显示PDI从选定性能数据中检索数据所用的具体的sql语句。
Though very basic and out of context, the data in this example shows that the calc process used between 0 and 6.7% of the machine's CPU.
这个示例中的数据展示了机器CPU的0和6.7%之间所用的计算进程，不过非常基本并且脱离了上下文。
This section of the article shows how to create a data table whose columns have multiple controls within the column.
本文的该节向您展示了如何创建一个在列中有多个控件的数据表格。
This look at data binding performance shows some interesting results, but doesn't fundamentally change the recommendations from Part 1.
这篇对数据绑定性能的研究展示了一些有趣的结果，但是并未对第1部分中的推荐做根本上的更改。
Table 1 shows the XML-RPC middleware API for this application's user accounts data store.
表1给出了这个应用程序的用户账号数据存储的XML - RPC中间件api。
This panel shows information relevant to the performance of the data server including the following.
此面板显示了与数据服务器性能相关的信息，包括以下内容。
Now, Listing 3 shows how to read this data into a Python program and parse the contents of the file.
现在，清单3显示如何把这个数据读入Python程序，并解析文件的内容。
The graph in Figure 1 shows this data for three projects.
图一中的曲线图表明三个项目的数据。
As this example shows, you can have different data types for the keys and the data values in a dictionary.
如这个例子所示，可以在一个dictionary中使用不同数据类型的键和数据值。
This shows the data model that was turned into XML text, sent across to params.php, then returned into the result tag.
它显示了转化成XML文本、发送给params . php然后返回到result标记的数据模型。
Listing 7 shows this data divided into four files.
清单7展示了分成4个文件的这样的数据。
Return briefly to Listing 4, where you defined the data source for the table as the controller. This means that the controller has some data source methods to implement; Listing 6 shows those.
简要回顾一下清单4，您在那里将数据表的数据源定义为控制器，那意味着控制器有一些数据源方法需要实现，如 清单 6 所示。
This view shows the most utilized logical volumes on your system since you started the data collection tool.
这个视图显示了从启动该数据收集工具以来，您的系统中利用率最高的逻辑卷。
Listing 3 shows the result of this query run against the data in Listing 1.
清单3展示了针对清单1中数据运行该查询时得到的结果。
This section shows you how to implement the data transformation solution using a custom-data binding approach.
此部分将说明如何使用自定义数据绑定方法实现数据转换解决方案。
Listing 2 shows how this data would look in JSON.
清单2显示了这些数据在JSON中的效果。
But the centralisation of so much data also has drawbacks, as this week's mess shows.
但是让如此多数据的集中同样有其不利之处，正如本周的这件糟糕的事所显示的。
This section shows that even after a commit, the data is not accessible from another session.
本节展示即使在提交后也不能从其他会话中访问数据。
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