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R: Data Analysis and Visualization
book

R: Data Analysis and Visualization

by Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger, Ferenc Illés, Milán Badics, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, István Margitai, Balázs Márkus, Péter Medvegyev, Julia Molnár, Balázs Árpád Szucs, Ágnes Tuza, Tamás Vadász, Kata Váradi, Ágnes Vidovics-Dancs
June 2016
Beginner to intermediate
1783 pages
71h 22m
English
Packt Publishing
Content preview from R: Data Analysis and Visualization

Multivariate continuous data visualization

In this recipe, we will visualize multivariate data with all continuous variables. The plot will look like a table of a bar plot but the important feature of this plot is that we can easily understand the relationship among variables.

Getting ready

Let's call the modified mtcars dataset that we created in the introduction section. Then, we will take only the continuous variables for this recipe:

# Taking subset with only continuous variables
con_dat <- modified_mtcars[c("mpg","disp","drat","wt","qsec")]

To produce multivariable visualization, we need to call the tabplot library. If this is not preinstalled, then users can install it using the following command and then load it:

# To install tabplot library ...
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Publisher Resources

ISBN: 9781786463500