Using summary tables to introduce principal component analysis in an elementary data science course

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Jon‐Paul Paolino
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引用次数: 0

Abstract

This article presents a novel approach to introducing principal component analysis (PCA), using summary tables and descriptive statistics. Given its applicability across a variety of academic disciplines, this topic offers abundant opportunity for class discussion and activities. However, teaching PCA in an introductory class can be challenging due to the potential abstraction of multivariate datasets, and especially when students have a minimal background in statistics or data science. This method aims to help teachers bridge the gap between basic descriptive statistics and the more advanced concepts of PCA; this is done by disregarding mathematical optimization, while emphasizing the use of summary tables and the programming language R. The focus is on implementing this method in an introductory tertiary data science course; however, it may potentially be used in higher level courses, and across a variety of disciplines.
在初级数据科学课程中使用汇总表介绍主成分分析法
本文采用一种新颖的方法,利用汇总表和描述性统计来介绍主成分分析(PCA)。鉴于主成分分析适用于多个学科,这一话题为课堂讨论和活动提供了大量机会。然而,由于多变量数据集的潜在抽象性,在入门课堂上讲授 PCA 可能具有挑战性,尤其是当学生只有极少的统计学或数据科学背景时。本方法旨在帮助教师弥合基本描述统计与 PCA 更高级概念之间的差距;具体做法是不考虑数学优化,同时强调使用汇总表和编程语言 R。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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