9781784273385-1784273384-An Introduction to R: Data Analysis and Visualization (Research Skills)

An Introduction to R: Data Analysis and Visualization (Research Skills)

ISBN-13: 9781784273385
ISBN-10: 1784273384
Author: Mark Gardener
Publication date: 2023
Publisher: Pelagic Publishing
Format: Paperback 384 pages
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Book details

ISBN-13: 9781784273385
ISBN-10: 1784273384
Author: Mark Gardener
Publication date: 2023
Publisher: Pelagic Publishing
Format: Paperback 384 pages

Summary

An Introduction to R: Data Analysis and Visualization (Research Skills) (ISBN-13: 9781784273385 and ISBN-10: 1784273384), written by authors Mark Gardener, was published by Pelagic Publishing in 2023. With an overall rating of 3.6 stars, it's a notable title among other Data Mining (Databases & Big Data, Mathematical & Statistical, Software) books. You can easily purchase or rent An Introduction to R: Data Analysis and Visualization (Research Skills) (Paperback) from BooksRun, along with many other new and used Data Mining books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. A huge open-source project, R has become enormously popular because of its power and flexibility. With R you can organise, analyse and visualise data. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.

Learning about data is important in many academic and business settings, and R offers a potent and adaptable programming toolbox. The book covers a range of topics, including: importing/exporting data, summarising data, visualising data, managing and manipulating data objects, data analysis (regression, ANOVA and association among others) and programming functions. Regardless of your background or specialty, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.

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