秧鸡：如何无数值数据，“失踪”和“不适用”？
WEKA : How to defferentiate numerical data that are 'missing' and 'not applicable'?
工人也可以在关键的数值数据，如数量，同时扫描。
Workers can also key in numeric data, such as quantities, while scanning.
测试数值数据的数据格式，以确定它是否是日期(参见清单19)。
Test the data format of numeric data to determine whether it's a date (see Listing 19).
将显示类型改为Number至关重要，因为您希望将此输入视为数值数据。
It is crucial that you change the display type to Number because you want to treat this input as numerical data.
数值数据块有否明确描述。比如，如果一个数字代表长度，应标明单位是英尺还是米。
Comment the units of numeric data. For example, if a number represents length, indicate if it is in feet or meters.
第3行代码基于schema1中element1的定义和field1的内容创建了数值数据元素。
Line 3 creates a numeric data element based on the definition for element1 in schema1 and the content of field1.
如果值为varchar类型或数值数据类型(可以转换为varchar类型)，则结果类型是VARCHAR。
If the values are of type VARCHAR or a numerical data type, which can be converted to type VARCHAR, the resulting type is VARCHAR.
例如，数据类型为“文本”的字段可以存储由文本或数字字符组成的数据，而“数字”字段只能存储数值数据。
For example, a field whose data type is text can store data consisting of either text or number characters, but a number field can store only numerical data.
请求访问或修改配置数值或数据变量。
Requests to access or modify configuration values or data variables.
正态分布数据认为，样本中约68%的数值分布在距离平均值为1的标准偏差之内。
Normally distributed data assumes that about 68% of the values in the sample are within 1 standard deviation of the mean.
无论数据类型是数值类型还是引用类型，信息传递的一方都可能出现问题。
Whether a data type is a value type or a reference type, the communicating parties could also pose problems.
还包括有数值型、日期型和货币型数据。
如果两个源系统之间或源与目标之间存在不同级别的数据聚合，那么数值型数据尤其需要聚合。
When data between two source systems or the source and the target exist at different levels of aggregation, numeric data in particular may require aggregation.
我们仍然基于行业的平均水平计算碳排放轨迹，这些平均数值来自各种数据源。
So we also calculate the carbon footprint based on industry averages, which are derived from various empirical data sources.
除了数值类型，数据库中最常用的保存数据的另一个类型是字符数据。
In addition to numerical data, the other most popular type of data to store in a database is character data.
多数数值型数据不能用整数表示。
一般这些观测是实际的数值或数据，也通称为统计数据。
Typically, these observations are numerical facts or data, also known as statistical data.
这些数值表示单字节数据的字节数和图形或双字节数据的双字节数。
These numeric values represent the number of bytes in single-byte data and the number of double bytes in graphic or double-byte data.
该分析最常用于确保字段长度（对于数值型数据，则包括精度和等级）是一致的，但是也可以解决数据类型不匹配的问题。
Most commonly this looks to ensure that field lengths are consistent (or precision and scale for numerical data), but may also address issues in misaligned data types.
假设num _ freqvalues数据库配置参数值是10,num _ quantiles数据库配置参数值是20。
Assume that the num_freqvalues database configuration parameter value is 10, and the num_quantiles database configuration parameter value is 20.
其他的方法就是使用SWT（StandardWidget Toolkit)创建您自己的用户界面，使用Notes.jar加载数据和保存数值到数据库中。
The other option is to create your own user interface using SWT, the Standard Widget Toolkit, and to use Notes.jar to load and to save the values to the database.
接下来我们看一下如何将数值型数据转化为图表。
同样的，你可以指定参数值为all，从而提取所有区域的数据。
Alternately, you can extract data for all locales by specifying the value of all.
由于这个新测试是从最初的记录中产生的，它将不包含取代数据池数值的编辑。
Since the new test was generated from the initial recording, it will not include the edits for substituting datapool values.
要使用存储过程，仅需从客户机应用程序向数据库服务器发送参数值和存储过程本身的名称即可。
The use of this stored procedure required only the parameter value and the name of the stored procedure itself to be sent from the client application to the database server.
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 approach lets you pass data as argument values to the call, as Listing 3 shows.
使用极大或极小的数字或者模仿从数值类型派生的私有数据类型。
Using very large or very small Numbers or emulating private data-types derived from numeric types.
如果是，那么使用输入参数值更改相应的数据列。
If so, then the corresponding data column is changed with the input parameter value.
字符串数据长度的变化或数值型数据精度和等级的变化也表明在数据的表示、验证和使用上存在潜在的问题。
Variations in length for string data or in precision and scale for numeric data also point to potential issues in data presentation, validation, and usage.
字符串数据长度的变化或数值型数据精度和等级的变化也表明在数据的表示、验证和使用上存在潜在的问题。
Variations in length for string data or in precision and scale for numeric data also point to potential issues in data presentation, validation, and usage.
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