R for Data Analysis in Easy Steps: covers R Programming essentials
Authors: Mike Mcgrath
Publishing Date: January 2017
Dimension: 19 x 1.3 x 22.9 cm
The R language is shows how to use R programming to analyse data to gain useful insights into patterns and trends, to enable better decision-making. This Primer begins by explaining data analysis and core principles of the R programming language, then shows how to store and manipulate data in metrics from which useful plots and graphs can be created import data sets into data frames from whih insightful data visualisations can be created create line graphs, bar charts, histograms, scatter and box plots by following the examples. Use the grammar of graphics to present the data visualisations and gain deeper insights. By 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 attached visualisations for data analysis - Use the free downloadable example R code to get started straightway!