R for Data Analysis in easy steps : R Programming essentials

R for Data Analysis in easy steps : R Programming essentials

Details

Author(s)
Mike McGrath
Format
Paperback | 192 pages
Dimensions
186 x 227 x 10mm | 430.91g
Publication date
13 Mar 2018
Publisher
In Easy Steps Limited
Publication City/Country
Southam, United Kingdom
Language
English
Illustrations note
Full colour screenshots, photographs and diagrams
ISBN10
1840787953
ISBN13
9781840787955
Bestsellers rank
310,657

Description

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 has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data.

R for Data Analysis in easy steps begins by explaining core programming principles of the R programming language, which stores data in "vectors" from which simple graphs can be plotted.

Next, the book 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 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.


Download R for data analysis easy steps mike mcgrath (9781840787955).pdf, available at happytonics.org for free.

Warning: fopen(/var/www/html/happytonics.org/core/../sitemap_datas/auto/isbn_and_title_1.txt): failed to open stream: Permission denied in /var/www/html/happytonics.org/core/krenabiz.php on line 0

Warning: fwrite() expects parameter 1 to be resource, boolean given in /var/www/html/happytonics.org/core/krenabiz.php on line 0

Warning: fclose() expects parameter 1 to be resource, boolean given in /var/www/html/happytonics.org/core/krenabiz.php on line 0