An Introduction to R (Data Analysis and Visualization)
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Product Details
Author:
Mark Gardener
Format:
Paperback
Pages:
384
Publisher:
Pelagic (June 14, 2023)
Imprint:
Pelagic
Language:
English
ISBN-13:
9781784273385
ISBN-10:
1784273384
Weight:
22.08oz
Dimensions:
6.77" x 9.42" x 0.9"
File:
Eloquence-SimonSchuster_04022026_P9912986_onix30_Complete-20260402.xml
List Price:
$47.99
Pub Discount:
32
Series:
Research Skills
Case Pack:
11
As low as:
$45.59
Publisher Identifier:
P-SS
Discount Code:
H
Folder:
Eloquence
Overview
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.
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.
