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An introduction to data analysis in ...

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	An introduction to data analysis in Rby Alfonso Zamora Saiz ... [et al.].
Reminder of title:	hands-on coding, data mining, visualization and statistics from scratch /
other author:	Zamora Saiz, Alfonso.
Published:	Cham :Springer International Publishing :2020.
Description:	xv, 276 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	0 R (Computer program language)
Online resource:	https://doi.org/10.1007/978-3-030-48997-7
ISBN:	9783030489977$q(electronic bk.)

An introduction to data analysis in Rhands-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$q(electronic bk.)

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

874480
0 R (Computer program language)

LC Class. No.: QA276.45.R3

Dewey Class. No.: 519.50285

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