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所在平台: Udemy |
课程主页: https://www.udemy.com/course/exploratory-data-analysis-in-r/
课程评论：没有评论
课程名称：R语言探索性数据分析 课程概述： 本课程以R语言和RStudio为平台，通过实例教学，重点介绍探索性数据分析（EDA）技术。课程内容涵盖使用散点图探究变量间的关系（线性或非线性），分析因变量的变化以及识别数据集中的异常值。需要强调的是，因果关系意味着相关性，但相关性并不等同于因果关系。 课程将利用直方图图形化地总结数据集分布，快速展示数据的集中趋势（位置）和离散程度（分布范围），并判断数据是否符合正态分布、存在偏态、多峰或异常值。 此外，课程还会介绍直方图的补充技术——概率图。我们将通过将数据与理论正态分布进行比较来构建概率图，若数据符合正态分布，则图会呈现一条直线。我们将使用正态概率图来评估示例数据是否遵循正态分布。 最后，课程将介绍箱线图，用于可视化数据中不同组之间的变异性。 除了散点图，大多数电子表格软件不支持这些方法，因此学习在R中进行这些基本分析将极大地提升您探索数据的能力。
This example-based course introduces exploratory data analysis (EDA) using R. A primary objective is to apply graphical EDA techniques to representative data sets using the RStudio platform. I have incorporated datasets from the NIST/SEMATECH e-Handbook of Statistical Methods into this course and adopted their fundamental approach of Exploratory Data Analysis. We use scatter plots to examine relationships between two variables, determine if there is a linear or non-linear relationship, analyze variations of the dependent variable, and determine if there are outliers in the dataset. Of course, we need to remember that causality implies association and that association does NOT imply causality.We will summarise the distribution of a dataset graphically using histograms. This tool can quickly show us the location and spread of the data, and give us a good indication if the data follows a normal distribution, is skewed, has multiple modes or outliers.An underused, complementary technique to histograms is the probability plot. We will construct probability plots by plotting the data against a theoretical normal distribution. If the data follows a normal distribution, the plot will form a straight line. We will use the normal probability plot to assess whether or not our examples follow a normal distribution. Finally, we will use box plots to view the variation between different groups within the data.Aside from scatterplots, most spreadsheet programs do not support these methods, so learning how to do this fundamental analysis in R can improve your ability to explore your data.
