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＜E-Book＞
An Introduction to Data Analysis in R : Hands-on Coding, Data Mining, Visualization and Statistics from Scratch / by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz
(Use R!. ISSN:21975744)

Edition	1st ed. 2020.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2020
Size	XV, 276 p. 99 illus., 81 illus. in color : online resource
Authors	*Zamora Saiz, Alfonso author Quesada González, Carlos author Hurtado Gil, Lluís author Mondéjar Ruiz, Diego author SpringerLink (Online service)
Subjects	LCSH:Mathematical statistics—Data processing LCSH:Quantitative research LCSH:Data mining LCSH:Statistics  FREE:Statistics and Computing FREE:Data Analysis and Big Data FREE:Data Mining and Knowledge Discovery FREE:Statistics in Business, Management, Economics, Finance, Insurance
Notes	Preface -- 1 Introduction -- 2 Introduction to R -- 3 Databases in R -- 4 Visualization -- 5 Data Analysis with R -- R Packages and Funtions This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses HTTP:URL=https://doi.org/10.1007/978-3-030-48997-7

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