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Learning Jupyter 5

You're reading from Learning Jupyter 5 Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab

Product type Paperback

Published in Aug 2018

Publisher

ISBN-13 9781789137408

Length 282 pages

Edition 2nd Edition

Languages

Java

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Jupyter FREE CHAPTER

2. Jupyter Python Scripting

3. Jupyter R Scripting

4. Jupyter Julia Scripting

5. Jupyter Java Coding

6. Jupyter JavaScript Coding

7. Jupyter Scala

8. Jupyter and Big Data

9. Interactive Widgets

10. Sharing and Converting Jupyter Notebooks

11. Multiuser Jupyter Notebooks

12. What's Next?

13. Other Books You May Enjoy

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Jupyter R Scripting

Jupyter's native language is Python. Once Jupyter (which was essentially IPython before being renamed) became popular for data analysis, a number of people were interested in using the suite of R programming analysis tools that are available in Jupyter Notebook.

In this chapter, we will cover the following topics:

Adding R scripting to your installation
Basic R scripting
R dataset access (from a library)
R graphics
R cluster analysis
R forecasting
R predictions

The rest of the chapter is locked

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