October 2021
Intermediate to advanced
289 pages
8h 31m
Chinese
Content preview from 数据科学中的实用统计学(第2版)
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22
｜
第
1
章
本节要点
•
频数直方图在
y
轴上绘制频数计数，在
x
轴上绘制变量值，它可以让你对数据分布
有一个初步的了解。
•
频数表是直方图中频数计数的表格形式。
•
箱线图也可以让你对数据分布获得一个快速的了解（其中箱子的顶部和底部分别是
第
75
个百分位数和第
25
个百分位数）。经常将多个箱线图并排展示，以便对分布
进行比较。
•
密度图是直方图的平滑版本，它需要一个函数基于数据来估计绘图（当然，也可以
进行多个估计）。
1.5.4
扩展阅读
•
纽约州立大学奥斯威戈分校的一位教授提供了一份循序渐进的教程“
Constructing a
Boxplot
”
，介绍了如何创建箱线图。
• Henry Deng
和
Hadley W
ickham
在论文“
Density Estimation in R
”中介绍了如何使用
R
语言的密度估计。
• R-Bloggers
网站上有一篇关于在
R
中制作直方图的实用文章“
Basics of Histograms
”，
其
中介绍了如何进行元素定制，比如分箱（数据分解）。
• R-Bloggers
网站上还有一篇关于在
R
中制作箱线图的类似文章“
Box-plot with R –
Tutorial
”。
• Matthew Conlen
发布了一份交互式介绍
“
Kernel Density Estimation
”，演示了在核密度
估计中选取不同核函数和不同带宽的效果。
1.6
探索二元数据和分类型数据
对于分类型数据，使用简单的比例或百分比就可以了解数据的情况。
本节关键术语
众数
数据集中出现次数最多的类别或值。 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.