MISSING VALUES in Chinese Translation

How to Fill Missing Values?

我们如何填写缺失的值?

Missing Values:(…) data not available.

缺失数值：(…)无数据.

They can handle the missing values.

他们可以处理缺失的值.

Missing values in time series are treated as 0.

时间序列中缺少的值被视为0。

It can naturally handle Missing Values.

他们可以处理缺失的值.

Handling missing values is a very important step in data preparation.

处理缺值是数据预备中很重要的一个步骤.

Now, we will look at the methods of Missing values Treatment.

现在，我们来看看缺失值处理的方法。

Dealing with missing values will depend on certain‘success' criteria.

值得一提的是，处理缺失值依赖某些既定的“成功”标准。

You need to determine the number of samples with missing values.

你需要确定缺值的样本数据数量.

If they are too few, the missing values will be undefined.

如果它们太少，丢失的值将是未定义的。

Therefore,~32% of the data would remain unaffected by missing values.

因此，约有32%的数据将不受缺失值的影响。

Group 4: missing values(only from 3-37 per cent of countries' data).

第4组：缺少数值(仅有3-37%的国家提供数据).

Suppose now that we wish to print that same data, but with the missing values replaced by the average value..

现在假设我们希望打印相同的数据，但缺失值被平均值替换。

The number of missing values refers to cells that contain the missing value symbol*.

缺失值个数是指包含缺失值符号*的单元格数。

Before proceeding with aggregation, you should take time to clean the data,concentrating especially on missing values.

执行汇总之前，应该花一些时间来清理数据，尤其要关注缺失值。

SPSS acknowledges two types of missing values: System-missing and User-missing.

SPSS有两类缺失值：系统缺失值和用户缺失值。

That is, missing values increase for those questions where a lower positive response rate could reasonably be expected.

即为可能合理预期积极响应率较低的那些问题增加缺失的价值。

For various reasons, many real world datasets contain missing values, often encoded as blanks, NaNs or other placeholders.

由于各种原因，许多真实世界的数据集包含缺失的值，通常编码为空白、NAN或其他占位符。

Missing values in features, represented by NaNs, are now accepted in column-wise preprocessing such as scalers.

之前由NaNs表示的特征缺失值，现在被按列预处理（如scalers）接受。

Especially if the number of missing values in your data is big enough(above 5%).

特别是如果数据中缺失值的数量足够大(超过5%)。

(a) Preparing the comprehensive and consistent datasets on which economists base their analytical work,by reconciling different sources and complementing missing values by estimates.

(a)编制经济学家研究工作所依赖的全面一致的数据集，核对各种来源并以估计数补充缺失的数值。

Other issues are missing values, multiply types of data(can be solved- but costly) and much more.

还有其他问题是价值缺失，多种类型的数据(可以解决-但成本高昂)等等。

Numerical operations can be easily performed without worrying about missing values, dividing by zero, square roots of negative numbers, etc..

数值运算可以轻松执行，无需担心缺失值，除以零，负数的平方根等：.

To predict missing values, we used the salutation(Master, Mr, Miss, Mrs) of name as a new variable.

为了预测缺失值，我们使用了称呼(Master,Mr,Miss,Mrs)作为一个新变量。

D The differences compared with previousreports are due to a change in the treatment of missing values when deriving regional aggregates.

D与前几次报告相比存在不同，是因为计算区域总量时对待缺失数值的做法有了变化。

While we dropped the columns with more than 50% missing values when we cleaned the data, there are still quite a few missing observations.

虽然我们在数据清洗的时候丢弃了含有超过50％缺失值的列，但仍有不少值缺失。

In these instances, Annex I Parties should use one of the techniques provided by the IPCC good practice guidance(e.g., overlap, surrogate, interpolation, and extrapolation)to determine the missing values.

在这类情况下，附件一缔约方应使用气专委良好做法指导意见中提供的办法之一(如：重叠法、替代法、内插法和外推法)确定缺失的数值。

Any generic collection type can efficiently support missing values simply by allowing elements to include the pre-defined value missing..

任何泛用群集类型可以高效地支持缺失值，仅需要允许元素包含预定义值missing。

Why missing value treatment is required?

为什么需要对缺失值处理？?

Missing value was regarded as 0.

缺少的值被视为0。