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An introduction to data analysis in ...

Zamora Saiz, Alfonso.

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An introduction to data analysis in R = hands-on coding, data mining, visualization and statistics from scratch /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to data analysis in R/ by Alfonso Zamora Saiz ... [et al.].
其他題名:	hands-on coding, data mining, visualization and statistics from scratch /
其他作者:	Zamora Saiz, Alfonso.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	xv, 276 p. :ill., digital ;24 cm.
內容註:	Preface -- 1 Introduction -- 2 Introduction to R -- 3 Databases in R -- 4 Visualization -- 5 Data Analysis with R -- R Packages and Funtions.
Contained By:	Springer Nature eBook
標題:	0 R (Computer program language) -
電子資源:	https://doi.org/10.1007/978-3-030-48997-7
ISBN:	9783030489977

An introduction to data analysis in R = hands-on coding, data mining, visualization and statistics from scratch /
An introduction to data analysis in Rhands-on coding, data mining, visualization and statistics from scratch /[electronic resource] :by Alfonso Zamora Saiz ... [et al.]. - Cham :Springer International Publishing :2020. - xv, 276 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!..

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.

ISBN: 9783030489977

Standard No.: 10.1007/978-3-030-48997-7doiSubjects--Topical Terms:

3461645
0 R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 519.50285

An introduction to data analysis in R = hands-on coding, data mining, visualization and statistics from scratch /
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