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An Introduction to Data Analysis in R = Hands-on Coding, Data Mining, Visualization and Statistics from Scratch /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An Introduction to Data Analysis in R/ by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz.
Reminder of title:	Hands-on Coding, Data Mining, Visualization and Statistics from Scratch /
Author:	Zamora Saiz, Alfonso.
other author:	Quesada González, Carlos.
Description:	XV, 276 p. 99 illus., 81 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Statistics . -
Online resource:	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 /
Zamora Saiz, Alfonso.

An Introduction to Data Analysis in RHands-on Coding, Data Mining, Visualization and Statistics from Scratch /[electronic resource] :by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz. - 1st ed. 2020. - XV, 276 p. 99 illus., 81 illus. in color.online resource. - 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:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

An Introduction to Data Analysis in R = Hands-on Coding, Data Mining, Visualization and Statistics from Scratch /
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