R for Data Analysis (In Easy Steps)
Wednesday, 14 November 2018

This book is aimed at anyone who wants to produce graphic visualizations to gain insights from gathered data. Author Mike McGrath begins by explaining core programming principles of the R programming language including the storing of data in vectors from which simple graphs can be plotted. Next he describes how to create matrices to store and manipulate data from which graphs can be plotted to provide better insights and then demonstrates how to create data frames from imported data sets, and how to produce advanced visualizations.

 

Author: Mike McGrath
Publisher: Easy Steps
Date: March 2018
Pages: 192
ISBN: 978-1840787955
Print: 1840787953
Audience: would-be R programmers
Level: Introductory
Category: Data Science and Other Languages

 

 

 

Chapters are devoted to the major features of the R programming language, and example programs demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. 

 

For recommendations of books on big data, see Reading Your Way Into Big Data.

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner
 


SQL Server Query Tuning and Optimization (Packt)

Author: Benjamin Nevarez
Publisher: Packt Publishing Pages: 446
ISBN: 9781803242620
Print: 1803242620
Kindle: B0B42SVBFY
Audience: Intermediate to advanced DBAs and developers
Rating: 4.7
Reviewer: Ian Stirk 

This book aims to give you the tools and knowledge to get peak performance from your que [ ... ]



Python Programming and Visualization for Scientists 2nd Ed

Author: Alex DeCaria and Grant Petty
Publisher: Sundog Publishing
Pages: 372
ISBN: 978-0972903356
Print: 0972903356
Audience: Scientists wanting to use Python
Rating: 2
Reviewer: Mike James
Visualization - a difficult topic and difficult to see how to explain the ideas in a book.


More Reviews