未验证 提交 141353ed 编写于 作者: G GKcmdr 提交者: GitHub

Update 20.md

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条形图以矩形条的方式展示数据的点估值和置信区间
条形图表示每个矩形高度的数值变量的集中趋势的估计值,并提供使用误差条估计值周围不确定度的一些指示。A bar plot represents an estimate of central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars. Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.
条形图用每个矩形的高度来表示数值变量的表示每个矩形高度的数值变量的集中趋势的估计值,并提供使用误差条估计值周围不确定度的一些指示。A bar plot represents an estimate of central tendency for a numeric variable with the height of each rectangle and provides some indication of the uncertainty around that estimate using error bars. Bar plots include 0 in the quantitative axis range, and they are a good choice when 0 is a meaningful value for the quantitative variable, and you want to make comparisons against it.
For datasets where 0 is not a meaningful value, a point plot will allow you to focus on differences between levels of one or more categorical variables.
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