ENGLISH

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

By Alfonso Zamora Saiz , Carlos Quesada González , Lluís Hurtado Gil , Diego Mondéjar Ruiz

Book information

Publisher
Springer International Publishing;Springer
Year
2020
ISBN
9783030489960, 9783030489977
DOI
10.1007/978-3-030-48997-7
Language
english
Format
PDF
Filesize
8 MB (8052362 bytes)
Series
Use R!
Edition
1st ed.
Pages
XV, 276\289
Time added
2021-01-06 05:41:07
Statistics; Statistics and Computing/Statistics Pr

Description

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.

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