You can plot one or more data series in a chart.
可以在图表中绘制一个或多个数据系列。
With only a single vote, you see just the one element in the data series.
由于只有一个投票，所以您在数据系列中只能看到一个元素。
First there is a drop-down box that shows each of the data series from Listing 1.
首先有一个下拉框，显示来自清单1的每一个数据系列。
This function uses the values from the HTML control to determine which data series should be used.
此函数使用来自HTML控件的值以便确定应该使用哪个数据系列。
In a scatter chart, two columns of data are used to plot values for a single data series.
在散点图中，两列数据被用来为单个数列绘制数值。
Editing the data series allows you to view and change the way the performance collection is charted.
通过编辑数据系列，您可以查看和更改将性能集合绘制图表的方式。
Gets or sets the distance between the data series in a 3-d chart, as a percentage of the marker width.
获取或设置三维图表中数据系列之间的距离(以标记宽度的百分比形式表示)。
By looking at another data series from the St. Louis Fed that tracks how much money commercial Banks have lent.
参考另一个圣路易斯联邦储备银行发布的专门追踪商业银行放贷金额的数据序列。
If you take a look at a chart of recent US export growth, you may well think you are looking at the wrong data series.
如果看一下最近美国出口增长的图表，你很可能会认为自己看到的是错误数据。
A doughnut chart shows the relationship or proportions of parts to the whole, and can contain more than one data series.
圆环图显示各部分与整体的关系或比例，并且可以包含多个数据系列。
You can also combine some of the techniques shown earlier, like changing the data series (add an aggregate view, for example.)
您也可以合并之前显示的一些技术，如变更数据系列(例如，添加聚集视图等)。
Analyzing inverse DFT, we obtained a system of linear equations, whose solution can be taken as the spectrum of the data series.
通过对离散傅立叶逆变换的分析，我们得到一个线性方程组，它的解可以作为序列的谱。
In this paper, the mean monthly precipitation data series at 200 stations over the main land of China are subjected to harmonic analysis.
本文对我国大陆200个站的平均月降水量序列进行谐波分析。
A harmonic analysis for short data series is suggested to check the variation of the sensitivity and phase lag during the tidal observations.
为检验潮汐观测期间灵敏度及相位的变化，提出一种短资料的调和分析方法。
As one of the branches of statistics, time series analysis focuses on the variation characters and trend of discrete ordered data series mainly.
时间序列分析是统计学的分支之一，它的研究对象是离散有序数列的变化特征和变化趋势。
The example shows that the grey Markov prediction SCGM(1,1) model can have high prediction precision for the random and fluctuating data series.
并且以郑州市降雨量的预测作为实例，证明灰色马尔可夫预测模型对于随机波动性较大的数据列的预测具有较高的精度。
While GDP data from this city-state's relatively small economy are volatile, both figures were the fastest rates of growth since the data series began in 1975.
虽然新加坡这个城市国家的经济规模相对较少，因此GDP数据波动性较大，但毕竟这两个数字都是1975年有相关数据以来的最高增速。
Based on the uncertainty and inaccuracy characteristics, runoff series could be divided into different states via mean square deviation method of data series.
基于径流过程不确定性、不精确性的特点，利用资料系列的均方差方法把径流序列分为不同的状态。
In addition, the parameters of 3 empirical formulas were deduced from the calculated evaporation quantities of natural water body, extending the data series to 35 years.
此外，用计算的自然水体蒸发量推求了3种经验公式的参数，使资料系列延长到35年。
Many individuals argue that the usefulness of the SMA is limited because each point in the data series is weighted the same, regardless of where it occurs in the sequence.
许多人认为移动平均线的作用有限，因为每一个点的数据加权是相同的，没有顺序之分。
This conceptual model provides a new option for areas with sparse sediment data series at watershed outlets , and it has a great potential in assisting watershed management.
该概念性模型对于流域出口泥沙资料稀少的地区具有很高的应用价值和协助流域管理的潜力。
Using the homogenized temperature data series in the period 1960-2008, the characteristics of climate warming and variations of extreme temperature indices in Beijing were analyzed.
应用均一化逐日气象观测资料，分析了北京地区1960—2008年气候变暖及主要极端气温指数的统计特征。
Finally, the forecasting results of chaotic models are reconstructed based on wavelet packet theory. By doing so, the forecasting of system feature reference data series can be made.
最后，基于小波包理论将混沌模型预测的结果予以小波包重构，实现对系统特征参数序列的预测。
Result shows that the method is effective to discriminate linear and nonlinear correlation characteristics in a comparatively long data series, and suitable for analysis of complex ocean data.
结果表明，在数据资料较长时，该方法能有效判定数据序列的线性、非线性相关特征，特别适合于复杂的海洋数据资料分析。
Practical results show that, by using wavelet decomposition and reconstruction, this method can efficiently extract weak deformation characteristics from the observed data series having strong noises.
结果表明，借助于小波分解与重构，可有效地从强噪声干扰的观测数据序列中提取变形特征。
Data series forecasting is one of the most common problems which are difficult to grasp in evaluation and decision.
数列预测一直是评价决策中最常见而又难于把握的问题之一。
Data series forecasting is one of the most common problems which are difficult to grasp in evaluation and decision.
数列预测一直是评价决策中最常见而又难于把握的问题之一。
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