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Learning Jupyter

You're reading from  Learning Jupyter

Product type Book
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Pages 238 pages
Edition 1st Edition
Languages
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (16) Chapters

Learning Jupyter
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface
Introduction to Jupyter Jupyter Python Scripting Jupyter R Scripting Jupyter Julia Scripting Jupyter JavaScript Coding Interactive Widgets Sharing and Converting Jupyter Notebooks Multiuser Jupyter Notebooks Jupyter Scala Jupyter and Big Data

R visualizations in Jupyter


A common use of R is to use several visualizations, which are available depending on the underlying data. In this section, we will go over some of them to see how R interacts with Jupyter.

R 3D graphics in Jupyter

One of the packages available for 3D graphics is persp. The persp package draws perspective plots over a 2D space.

We can enter a basic persp command in a new notebook and have something like this:

Once we run the step (Cell | Run All), we can see the display in the following screenshot. The first part is the script involved to generate the graphic (this is part of the example code):

Then we see the following graphic display:

R 3D scatterplot in Jupyter

The R lattice package has a cloud function that will produce 3D scatterplots.

The script we will use is as follows:

# make sure lattice package is installed
install.package("lattice")
# in a standalone R script you would have a command to download the lattice library - this is not needed in Jupyter
library...
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