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Visualizing Data in R 4 - Graphics Using the base, graphics, stats, and ggplot2 Packages (Paperback, 1st ed.) Loot Price: R1,384
Discovery Miles 13 840
You Save: R302 (18%)
Visualizing Data in R 4 - Graphics Using the base, graphics, stats, and ggplot2 Packages (Paperback, 1st ed.): Margot Tollefson

Visualizing Data in R 4 - Graphics Using the base, graphics, stats, and ggplot2 Packages (Paperback, 1st ed.)

Margot Tollefson

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List price R1,686 Loot Price R1,384 Discovery Miles 13 840 | Repayment Terms: R130 pm x 12* You Save R302 (18%)

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Master the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed. Visualizing Data in R 4 starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You'll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible. Both plot() and ggplot() allow for many layers to a plot. The six appendices will cover plots for contingency tables, plots for continuous variables, plots for data with a limited number of values, functions that generate multiple plots, plots for time series analysis, and some miscellaneous plots. Some of the functions that will be in the appendices include functions that generate histograms, bar charts, pie charts, box plots, and heatmaps. What You Will Learn Use R to create informative graphics Master plot(), qplot(), and ggplot() Discover the canned graphics functions in stats and graphics Format plots generated by plot() and ggplot() Who This Book Is For Those in data science who use R. Some prior experience with R or data science is recommended.

General

Imprint: Apress
Country of origin: United States
Release date: April 2021
First published: 2021
Authors: Margot Tollefson
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 401
Edition: 1st ed.
ISBN-13: 978-1-4842-6830-8
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 1-4842-6830-X
Barcode: 9781484268308

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