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You're reading from  Jupyter for Data Science

Product typeBook
Published inOct 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781785880070
Edition1st Edition
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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 visualized data graphically using glyphs to emphasize important aspects of the data. We used markdown to annotate a notebook page. We used Shiny to generate an interactive application. And we saw a way to host notebooks outside of Jupyter.

In the next chapter, we will look at statistical modeling under Jupyter.

 

 

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Jupyter for Data Science
Published in: Oct 2017Publisher: PacktISBN-13: 9781785880070

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