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.

<ASIN:1840787953>

 

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.

 

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