Graphical Data Analysis with R

This book PDF is perfect for those who love Mathematics genre, written by Antony Unwin and published by CRC Press which was released on 27 April 2016 with total hardcover pages 310. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Graphical Data Analysis with R books below.

Graphical Data Analysis with R
Graphical Data Analysis with R
Author : Antony Unwin
File Size : 46,6 Mb
Publisher : CRC Press
Language : English
Release Date : 27 April 2016
ISBN : 9781498786775
Pages : 310 pages
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Graphical Data Analysis with R by Antony Unwin Book PDF Summary

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.

Graphical Data Analysis with R

Graphical Data Analysis with R 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

Get Book
Interactive and Dynamic Graphics for Data Analysis

Interactive and Dynamic Graphics for Data Analysis by Dianne Cook,Deborah F. Swayne

This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods. The area of int- active and dynamic data visualization emerged within statistics as part of research on

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Graphics for Statistics and Data Analysis with R

Graphics for Statistics and Data Analysis with R by Kevin J Keen

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data visualization and

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Graphics for Statistics and Data Analysis with R

Graphics for Statistics and Data Analysis with R by Kevin J. Keen

Praise for the First Edition "The main strength of this book is that it provides a unified framework of graphical tools for data analysis, especially for univariate and low-dimensional multivariate data. In addition, it is clearly written in plain language and the inclusion of R code is particularly useful to

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Graphical Data Analysis with R

Graphical Data Analysis with R 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

Get Book
R for Data Science

R for Data Science by Hadley Wickham,Garrett Grolemund

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R

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ggplot2

ggplot2 by Hadley Wickham

Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

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R in Action

R in Action by Robert I. Kabacoff

Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focusing on practical solutions, the book offers a crash course in statistics and covers elegant methods for dealing with messy and incomplete data that are difficult to analyze

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