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

✍ Scribed by Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz

Publisher
Springer International Publishing;Springer
Year
2020
Tongue
English
Leaves
289
Series
Use R!
Edition
1st ed.
Category
Library
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✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xv
Introduction (Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz)....Pages 1-8
Introduction to R (Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz)....Pages 9-67
Databases in R (Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz)....Pages 69-110
Visualization (Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz)....Pages 111-182
Data Analysis with R (Alfonso Zamora Saiz, Carlos Quesada González, Lluís Hurtado Gil, Diego Mondéjar Ruiz)....Pages 183-271
Back Matter ....Pages 273-276

✦ Subjects

Statistics; Statistics and Computing/Statistics Programs; Big Data/Analytics; Data Mining and Knowledge Discovery; Statistics for Business/Economics/Mathematical Finance/Insurance

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