Graphical Data Analysis with R

The R Series

by Antony Unwin

See How Graphics Reveal Information



Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA.



Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

Genres: Textbooks

310 pages, ebook

Published September 3, 2018

Reviews

[Sumit · Rating 5 out of 5]

Exploratory Data Analysis (EDA), consisting of looking at the data through graphs and charts is an important first steps in data analysis. Graphical Data Analysis with R provides an in-depth and detailed coverage of the application of graphical techniques in R to EDA. However, instead of moving through the functions and features of the many graphics packages in R this books guides the reader through multiple combinations of data types such us categorical , continuous and discrete and the techniques for analyzing them graphically. An must read and must have book for data analysis professionals.