An Introduction to R | Data Analysis and Visualization

Mark Gardener

ISBN 10: 1784273384 / ISBN 13: 9781784273385

Published by Pelagic Publishing, 2023

About this Item

An Introduction to R | Data Analysis and Visualization | Mark Gardener | Taschenbuch | Englisch | 2023 | Pelagic Publishing | EAN 9781784273385 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 126905512

Bibliographic Details

• Title: An Introduction to R | Data Analysis and Visualization
• Publisher: Pelagic Publishing
• Publication Date: 2023
• Language: English
• ISBN 10: 1784273384
• ISBN 13: 9781784273385
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 21D millimeters 244 millimeters width by 170 millimeters height by 21 millimeters depth
• Weight: 671 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Mark Gardener is a self-employed scientist and consultant, with a PhD in ecology. Currently, he provides data analysis and consultancy across a wide range of disciplines. Mark specialises in the use of the R Project for Statistical Computing.