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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter 2. Jupyter Python Scripting FREE CHAPTER 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. 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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