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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
Languages
Python
Tools
Jupyter
Concepts
Data Analysis
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Author (1)
Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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Summary

In this chapter, we added the ability to use R scripts in your Jupyter Notebook. We added an R library not included in the standard R installation and we made a Hello World script in R. We then saw R data access built-in libraries and some of the simpler graphics and statistics that are automatically generated. We used an R script to generate 3D graphics in a couple of different ways. We then performed a standard cluster analysis (which I think is one of the basic uses of R) and used one of the available forecasting tools.

In the next chapter, we will learn all about Julia scripting in a Jupyter Notebook.

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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870
© 2016 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey

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