What is the translation of " DATA VALUES " in Chinese?

• 数据值

Examples of using Data values in English and their translations into Chinese

Release large data values;
释放大数据价值；.

Data values should be strictly stated to support the purpose.
不应该详细说明这些数据的数据，以支持数据的价值。

The sum is the total of all of the data values.
总和是所有数据值的总和。

The above lines alert the data values that were set on the body element.
上面的代码alert设置在body元素上的数据值。

In a programming language, variables are used to store data values.
在编程语言中，变量用于存储数据值。

Data values that are smaller than n have to be expanded to n in order to be processed.
如果数据值小于n，则必须将其扩展为n才能进行处理。

You can now use any custom art to represent data values in the chart's design.
您现在可以使用任何自定义图稿在图表的设计中表示数据值。

You can also modify data values used by the script, and you can even modify the script itself.
您还可以修改脚本使用的数据值，您甚至可以修改脚本本身。

In this case, the seek location on the media, is the data key and the blocks are the data values.
在这种情况下，媒体上的查找位置是数据键，块是数据值。

The area of each bar is equal to the percent of data values that are in the corresponding bin.
每个条形的面积等于相应桶中的数据值的百分比。

Alpha data values greater than or equal to 5 map to the last element in the alphamap.
大于或等于5的alpha数据值映射到颜色图中的最后一个元素。

The health app provides other gyroscopic metrics and stores all the data values in a Cloudant database.
此健康应用可提供其他陀螺仪指标，并将所有数据值存储在Cloudant数据库中。

Think again what your data values actually represent and what their ranges are after normalization.
再考虑一下数据值实际代表什么，以及它们在标准化之后的范围。

A record set consists of one or more records with the same name, type, TTL- and different data values.
一个记录集由一条或多条记录组成，这些记录具有相同的名称、类型、TTL，但数据值不同。

When a column allows data values of a single type, it does not essentially mean it only has simple text values..
因此，允许单一类型的数据值的列不一定意味着它仅具有简单的文本值。

In probability and statistics, a Generative Model is a model used to generate data values when some parameters are hidden.
在概率和数理统计中，生成模型是在一些参数被隐藏时用于产生数据值。

Therefore, a column allowing data values of a single type does not necessarily mean it only has simple text values..
因此，允许单一类型的数据值的列不一定意味着它仅具有简单的文本值。

The basic principle of the relational model is the Information Principle: all information is represented by data values in relations.
关系模型的基本原理是信息原理：所有信息都表示为关系中的数据值。

In this context, data standardization means converting data values to have mean of 0 and a standard deviation of 1.
在这种情况下，数据标准化意味着将数据值转换为平均值为0，标准差为1的数据。

Outliers, which are data values that are far away from other data values, can strongly affect the results of your analysis.
异常值是远离其他数据值的数据值，可以显著影响您的分析结果。

That is, regression is used to predict missing or unavailable numerical data values rather than(discrete) class labels.
也就是说：回归用来预测缺失的或难以获得的数值数据值，而不是（离散的）类标号。

When a column makes it possible for data values of one type, it doesn't essentially indicate it only has simple text values..
因此，允许单一类型的数据值的列不一定意味着它仅具有简单的文本值。

The error occurs, for Enterprise ID or Federated ID users, if the Country Code Heading or the data values or both are missing.
对于EnterpriseID或FederatedID用户，如果缺少国家/地区代码标题或数据值，或者两者同时缺失，则会发生此类错误。

Add to this the complexity that the sensor data values rarely change(e.g., temperature operates within an acceptably small range).
添加到这样一个复杂的传感器数据值很少改变（例如，温度在可接受的小范围内工作）。

Choose a strategy to deal with bad data: return an error and stop right away(fast fail), return a neutral value, substitute data values,….
选择好策略来应对错误数据：返回错误就马上停止，返回中性值就替换数据值…….

Data visualization simplifies data values, promotes understanding of data, and communicates important concepts and ideas.
数据可视化的目的是简化数据值，促进对数据的理解，并传达重要的概念和想法。

Basic statistical descriptions can be used to define the data's characteristics and highlight the data values that should be treated as noise or outliers.
描述性数据汇总技术可以用来识别数据的典型性质，突显哪些数据值应当视为噪声或离群点。

The purpose of data visualization is to simplify data values, promote the understanding of them, and communicate important concepts and ideas.
数据可视化的目的是简化数据值，促进对数据的理解，并传达重要的概念和想法。

Basic statistical descriptions can be used to identify properties of the data and highlight which data values should be treated as noise or outliers.
描述性数据汇总技术可以用来识别数据的典型性质，突显哪些数据值应当视为噪声或离群点。

Further investigation using both the new and the previously collected engineering data will be conducted to determine why those data values were originally incorrect.
我们将利用新数据和之前收集的工程数据进行进一步调查，以确定这些数据值最初不正确的原因。