R for Data Analysis in easy steps (Paperback)

Mike McGrath

ISBN 10: 1840789980 / ISBN 13: 9781840789980

Published by In Easy Steps Limited, Southam, 2023

About this Item

Paperback. The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends.R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in "vectors" from which simple graphs can be plotted. Next, it describes how to create "matrices" to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create "data frames" from imported data sets, and how to employ the "Grammar of Graphics" to produce advanced visualizations that can best illustrate useful insights from your data.R for Data Analysis in easy steps, 2nd edition contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming.Updated for the latest version of R. R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who wants to begin programming in R, with minimum fuss. Updated for the latest version of R. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781840789980

Bibliographic Details

• Title: R for Data Analysis in easy steps (Paperback)
• Publisher: In Easy Steps Limited, Southam
• Publication Date: 2023
• Language: English
• ISBN 10: 1840789980
• ISBN 13: 9781840789980
• Binding: Paperback
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends.

R for Data Analysis in easy steps, 2^nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, it describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data.

R for Data Analysis in easy steps, 2^nd edition contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming.

Updated for the latest version of R. 

About the Author

Mike McGrath gained his extensive knowledge of computer languages while working as a developer contracting to companies around the world. Mike is an established In Easy Steps author with several best-selling guides to his credit