An Introduction to Data Analysis in R - Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Paperback, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Use R!
Release date:	July 2020
First published:	2020
Authors:	Alfonso Zamora Saiz • Carlos Quesada Gonzalez • Lluis Hurtado Gil • Diego Mondejar Ruiz
Dimensions:	235 x 155 x 29mm (L x W x T)
Format:	Paperback
Pages:	276
Edition:	1st ed. 2020
ISBN-13:	978-3-03-048996-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-03-048996-5
Barcode:	9783030489960

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