Book Image

Learning Jupyter 5 - Second Edition

Book Image

Learning Jupyter 5 - Second Edition

Overview of this book

The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples. The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next, you will learn to integrate the Jupyter system with different programming languages such as R, Python, Java, JavaScript, and Julia, and explore various versions and packages that are compatible with the Notebook system. Moving ahead, you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode. By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

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 just by using the following command:

example(persp) 

So, we will have something like this in a Notebook:

Once we run the step (Cell | Run All), we will see the display that's shown in the following screenshot. The first part is the script involved in generating the graphic (this is part of the example code):

 

Then, we will 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.packages("lattice") 
 
# in a standalone R script...