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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

An Introduction to R Data Analysis and Visualization

Handbook / Manual
By: Mark Gardener(Author)
381 pages, Figs, tabs
An Introduction to R
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  • An Introduction to R ISBN: 9781784273385 Paperback May 2023 In stock
  • An Introduction to R ISBN: 9781784273378 Hardback May 2023 Not in stock: Usually dispatched within 1 week
Selected version: £34.99
About this book Contents Customer reviews Biography Related titles

About this book

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 speciality, you'll find this book the perfect primer on data analysis, data visualisation and data management, and a springboard for further exploration.


1. A brief introduction to R
2. Basic math
3. Introduction to R objects
4. Making and importing data objects
5. Managing and exporting data objects
6. R object types and their properties
7. Working with data objects
8. Manipulating data objects
9. Summarizing data
10. Tabulation
11. Graphics: basic charts
12. Graphics: adding to plots
13. Graphics: advanced methods
14. Analyze data: statistical analyses
15. Programming tools


Customer Reviews


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.

Handbook / Manual
By: Mark Gardener(Author)
381 pages, Figs, tabs
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