图6显示了异常值排除之后的数据箱线图。
Figure six shows a boxplot of our data with the outliers removed.
很有可能的是，这些数据不再可读了，而且你需要读取这些媒体的设备已经被扔进垃圾箱里很久了。
Chances are that the data is no longer readable and the device where you need to read the media has long been tossed into the trash bin.
通过使用箱线图，我们就能够在数据集中演示高层次的歪斜度(正外泄)。
By using a boxplot graph we were able to illustrate a significant level of right (positive) skew in the dataset.
我们可以看到中间值不在箱线图的中央-实际上，它位于左手边的框中，这意味着在数据集中有右歪斜。
We can see that the median is not in the center of the boxplot - in fact, it is positioned slightly to the left hand side of the box, indicating that there is a right skew in the dataset.
每一个片段的数据都被分别存储，构建迷你箱状分布图并存储到sysfragdist目录。
Data from each fragment is individually sorted, and mini-bin distribution is built and stored in the sysfragdist catalog.
如果你使用一个桌面邮件客户端，你可以导出你的邮件数据到一个单独的文件夹，然后清空活跃的收件箱。
If you use a desktop mail client like Outlook, you can export your mail data to a separate folder, then clear out your active inbox.
下表给出了每种数据类型的迷你箱状图的大小，同时还给出了解析率和片段数。
The following table gives the size of minibin for each datatype with a combination of resolution and number of fragments.
当用户使用邮件数据库的服务器副本时，则在用户收到通知之前消息先到达收件箱。
When the user leverages the server copy of the mail database, the message is in the Inbox prior to the notification.
当然，对于复杂问题，特定于每个数据库管理员的开发人员工具箱仍然颇有价值。
For sophisticated problems, of course, there's still enormous value in the developer toolboxes specific to each database manager.
整个数据集的箱线图显示了有很大程度的外泄，较高程度的分散度，以及数据集内大量的异常值。
The boxplot of the entire dataset showed there was significant right skew, a high level of dispersion and sizable quantity of outliers within our dataset.
在图3中，齿轮箱代表处理一些基础数据结构的抽象，而黄色箱代表可移植代码，将数据封装在里面。
In Figure 3, the gear box represents abstractions that deal generically with some fundamental data structure, and the yellow box represents portable code, encapsulating data inside it.
在白箱测试中，测试工程师能够访问内部数据结构和算法。
In white-box testing, the test engineer has access to the internal data structures and algorithms.
在研究箱线图的对称性之后，数据集中会产生少量的外泄。
After studying the symmetry of the boxplot, there is a small amount of right skew in our dataset.
您可以使用该产品中包含的包装器开发工具箱来编写一个定制的包装器库，这样便可以访问现有包装器不支持的数据源。
You can also use the wrapper development kit included in the product to write a custom wrapper library, which will allow you to access data sources not supported by the existing wrappers.
还展示了大邮件文件是如何影响服务器性能的，并提供了减小数据库、收件箱大小以及全文索引开销的技巧，以及其他为用户、管理员和设计人员提供的方法。
We show how large mail files can affect server performance, and offer tips for reducing database and Inbox size, the cost of full-text indexes, and other ideas for users, administrators, and planners.
无论是全部或部分更换硬盘存储，SSD技术都是数据中心运营工具箱中的优秀工具之一。
Whether total or partial replacement for hard disk storage, SSD technology is a good tool in the datacenter operations Arsenal.
正如前面提到的那样，所谓的箱线图就是在数据集内演示分散情况的一种图形方法。
As mentioned previously, a boxplot is a graphical method of illustrating the dispersal in our dataset.
工具箱中的大多数控件都支持数据绑定，通过底层的数据绑定构件来绑定各种各样的数据源。
Most controls in the Toolbox support data binding to an arbitrary data source through a native data-binding infrastructure.
除了大的邮件数据库，视图——尤其是收件箱——中文档的数量太多也能降低性能。
In addition to the large size of the mail database, the number of documents in a view — particularly the Inbox — can also degrade performance.
请把XI看作将旧数据导入最新xml流的一般工具箱。
Think of XI as a generic toolkit for importing your legacy data into a modern XML flow.
数据表明，当收件箱的文档增长时，UPDATE_NOTE和NIF操作时间呈指数级增长。
The data shows exponential growth rates for UPDATE_NOTE and NIF operation times as the number of documents in the inbox grew.
LotusDomino在视图中保存数据，例如收件箱视图，视图在LotusNotes数据库中是一个单独的元素。
Lotus Domino saves the data in a view, for example, the inbox view, as a separate element in the Lotus Notes database.
目前大多数SOAP工具箱都不支持流模型(streaming model)来处理以附件或者消息的形式过来的大量数据。
Currently most of the SOAP toolkits didn't support a streaming model for handling huge data coming as either attachments or as messages.
而且，如果在收件箱没有可用数据，rdch指令就会一直暂停，直到可用数据出现。
And, if there is no value available in the inbox, the RDCH instruction simply stalls until there is one.
由于XMLSchema不能描述符合SOAP数据模型的数据，依赖于读取WSDL来推断请求和响应的结构的工具箱就变成了进行一场猜测游戏。
Since XML Schema cannot describe data conforming to the SOAP data model, toolkits that depend upon reading the WSDL to infer the structure of the requests and responses are left to a guessing game.
对于那些晦涩难懂的语言，Google推出了“翻译工具箱”，帮助用户进行翻译，并将这些译文文本添加到其翻译数据库中。
For more obscure languages, it has released a "tool kit" that helps users with translations and then adds those texts to its database.
图5显示了数据集的箱线图。
我们为LotusDomino 的执行程序、Notes数据和 DominoDirectory、邮件箱1到4和事务日志分配了单独的卷。
Separate volumes were allocated for the Lotus Domino execution, Notes data, Domino Directory, mailbox 1 to 4, and transaction logging.
在下面的范例之中，我们可以使用箱线图来度量一个数据集内分散的程度。
In the example below, we can use a boxplot graph to measure the level of dispersion within a dataset. In ideal circumstances we can see the following.
在工具箱中，可以拖拽数据集设计程序中的DetailsView控件。
From the toolbox, you can also drag and drop the DetailsView control on the dataset designer.
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