boxplot

When the outliers were excluded , a new boxplot was created .

当异常值被排除在外时，会创建一个新的箱线图。

In this boxplot , the mean and standard deviations are measures of location within a dataset .

在这个箱线图之中，度量值和标准偏差就是一个数据集内位置的度量手段。

Figure six shows a boxplot of our data with the outliers removed .

图6显示了异常值排除之后的数据箱线图。

Figure five shows a boxplot graph of our dataset .

图5显示了数据集的箱线图。

Of note is that the slim grey box on the left hand side is the actual boxplot .

注意左手边有一个青灰色的方框是实际的箱线图。

In summary , we have measured the dispersion of our dataset by graphical means called a boxplot .

总体而言，通过所谓箱线图的图形方式，我们已经度量了数据集的分散情况。

The best way to illustrate the interquartile range is to create a boxplot graph of our dataset .

演示四分位范围的最佳方法是创建数据集的箱线图。

Further evidence for this hypothesis can be obtained by examining the position of the median in the boxplot .

对于这种假设的进一步证据，可以通过检查箱线图中间值位置来获得。

After studying the symmetry of the boxplot , there is a small amount of right skew in our dataset .

在研究箱线图的对称性之后，数据集中会产生少量的外泄。

By using a boxplot graph we were able to illustrate a significant level of right ( positive ) skew in the dataset .

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）。

As mentioned previously , a boxplot is a graphical method of illustrating the dispersal in our dataset .

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。

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 .

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。

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 .

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。