An Introduction to Data Analysis in R Hands-on Coding, Data Mining,
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 visua
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Alfonso Zamora Saiz Carlos Quesada González Lluís Hurtado Gil Diego Mondéjar Ruiz
An Introduction to Data Analysis in R Hands-on Coding, Data Mining, Visualization and Statistics from Scratch
Use R! Series Editors Robert Gentleman, 23andMe Inc., South San Francisco, USA Kurt Hornik, Department of Finance, Accounting and Statistics, WU Wirtschaftsuniversität Wien, Vienna, Austria Giovanni Parmigiani, Dana-Farber Cancer Institute, Boston, USA
Use R! This series of inexpensive and focused books on R will publish shorter books aimed at practitioners. Books can discuss the use of R in a particular subject area (e.g., epidemiology, econometrics, psychometrics) or as it relates to statistical topics (e.g., missing data, longitudinal data). In most cases, books will combine LaTeX and R so that the code for figures and tables can be put on a website. Authors should assume a background as supplied by Dalgaard’s Introductory Statistics with R or other introductory books so that each book does not repeat basic material.
More information about this series at http://www.springer.com/series/6991
Alfonso Zamora Saiz • Carlos Quesada González • Lluís Hurtado Gil • Diego Mondéjar Ruiz
An Introduction to Data Analysis in R Hands-on Coding, Data Mining, Visualization and Statistics from Scratch
Alfonso Zamora Saiz Department of Mathematics Applied to ICT Technical University of Madrid Madrid, Spain
Carlos Quesada González Department of Applied Mathematics and Statistics Universidad San Pablo CEU Madrid, Spain
Lluís Hurtado Gil eDreams ODIGEO Barcelona, Spain
Diego Mondéjar Ruiz Department of Applied Mathematics and Statistics Universidad San Pablo CEU Madrid, Spain
ISSN 2197-5736 ISSN 2197-5744 (electronic) Use R! ISBN 978-3-030-48996-0 ISBN 978-3-030-48997-7 (eBook) https://doi.org/10.1007/978-3-030-48997-7 Mathematics Subject Classification: 62-07, 68N15, 68N20, 68P05, 62-01, 68-01, 62-09, 62J05 © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been
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