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

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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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Informasi Detail

Judul Seri

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No. Panggil

005.1 SAI a

Penerbit

Switzerland : Springer International Publishing., 2020

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

978-3-030-48997-7

Klasifikasi

005.1

Tipe Isi

text

Tipe Media

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Tipe Pembawa

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Edisi

Ed. 1

Subjek

Computer Programming
Computer programs
Programming

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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